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Here are the top stories from the last 24 hours.", "First, a post on X: Our initial public offering: Legal disclaimer: Anthropic has filed a registration statement (including a…. prospectus) with the SEC for the offering to which this communication relates. Before you invest, you should read the prospectus in that registration", "Second, a post on X: Introducing 𝙻𝚒𝚚𝚞𝚒𝚍𝙲𝚘𝚍𝚎𝚌, our ~74M-parameter streaming audio codec powering LFM3-Audio-2B and LFM3-Omni-2B.…. An audio codec turns speech into tokens a language model can predict, then converts those tokens back into audio. We built ours around two requirements: tokens", "Third, a post on X: This whole thing sucks, and I wish none of it had happened.…. This whole thing sucks, and I wish none of it had happened. It’s a really sad day! But I want to make one thing clear: we’ll keep fighting for open-source AI, harder than ever. This is too important to slow down now. Let’s go!", "Fourth, a post on X: BREAKING NEWS: Less than 3 weeks since the MiniMax M3.1 Flash launch, NVIDIA and @Inferact have already submitted an initial vLLM Rubin…. NVL72 submission that is state-of-the-art and delivers 6.5x better perf per TCO than GB300 NVL72. Great to see that Rubin is already becoming", "Fifth, the model MiniMax-H3-Image, from MiniMaxAI. November 11, 2026 — Google enters the decision model market. At AI Engineer, Cloudflare showed which parts of a build failure a classifier could handle. TypeSafe AI showed off their production customers.", "That's the wrap for now. You can chat with the news as well." ], "must:48h": [ "This is the Nuntia briefing, updated 13 November at 9:06 am. Here are the top stories from the last 48 hours.", "First, a post on X: OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience.…. On Continual-ARC, our new benchmark at @letsunifyai , none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.", "Second, a post on X: Today, we're releasing the highest accuracy Qwen3.8-27B GGUFs.…. Our new Dynamic V3.1 GGUFs lead by 5–10% on average across Terminal Bench, DeepSWE & more. We’re working on even better version for Qwen4 Run on 12GB RAM. GGUF:", "Third, a post on X: Persistent Agents are the next unlock of AI usage Our spend on AI is now 45% persistent agents Unfortunately for Anthropic, Claude Tags…. sucks OpenAI's Slack agent is even worse We primarily use Perplexity Computer, which uses a lot of different models Perplexity's Harness mogs", "Fourth, a post on X: Our initial public offering: Legal disclaimer: Anthropic has filed a registration statement (including a…. prospectus) with the SEC for the offering to which this communication relates. Before you invest, you should read the prospectus in that registration", "Fifth, the model MiniMax-H3-Image, from MiniMaxAI. November 11, 2026 — Google enters the decision model market. At AI Engineer, Cloudflare showed which parts of a build failure a classifier could handle. TypeSafe AI showed off their production customers.", "That's the wrap for now. You can chat with the news as well." ], "must:week": [ "This is the Nuntia briefing, updated 13 November at 9:06 am. Here are the top stories from the last week.", "First, a post on X: OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience.…. On Continual-ARC, our new benchmark at @letsunifyai , none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.", "Second, a paper: Few-Step Streaming Video Generation via Condition Shifting. APEX extends a streaming video generation method by replacing a separate fake-score network with condition shifting to estimate the generated distribution’s velocity field, improving instruction following and visual aesthetics while reducing memory and iteration time relative to DMD.", "Third, the model Qwen3.8-27B-DSpine-b16, from tencent. DSpine drafts a whole block of tokens in one pass, passing each position's predicted features to the next position at every layer, so each draft token is conditioned on its predecessors without a second step.", "Fourth, a post on X: Today, we're releasing the highest accuracy Qwen3.8-27B GGUFs.…. Our new Dynamic V3.1 GGUFs lead by 5–10% on average across Terminal Bench, DeepSWE & more. We’re working on even better version for Qwen4 Run on 12GB RAM. GGUF:", "Fifth, a paper: Don't Just Trust Your Memory: Evidence-Linked Memory Reduces Memory-Induced Degradation in LLM Agents. WikiTrace links each distilled lesson to its source trajectory and rationale, enabling LLM agents to verify and correct memories before acting, improving performance and reducing memory-induced degradation across agentic benchmarks.", "That's the wrap for now. You can chat with the news as well." ], "models": [ "This is the Nuntia briefing for Models, updated 13 November at 9:06 am.", "First, the model hyperflow-h3-flash, from VideoRebirthAI.", "Second, the model Qwen3.8-27B-DSpine-b16, from tencent. DSpine drafts a whole block of tokens in one pass, passing each position's predicted features to the next position at every layer, so each draft token is conditioned on its predecessors without a second step.", "Third, the model MiniMax-H3-Image, from MiniMaxAI. November 11, 2026 — Google enters the decision model market. At AI Engineer, Cloudflare showed which parts of a build failure a classifier could handle. TypeSafe AI showed off their production customers.", "Fourth, the model P-H3-Image-Comfy, from PrunaAI.", "Fifth, the model MiniMax-H3-Image, from Comfy-Org.", "That's the wrap for now from Models." ], "papers": [ "This is the Nuntia briefing for Papers, updated 13 November at 9:06 am.", "First, Few-Step Streaming Video Generation via Condition Shifting. APEX extends a streaming video generation method by replacing a separate fake-score network with condition shifting to estimate the generated distribution’s velocity field, improving instruction following and visual aesthetics while reducing memory and iteration time relative to DMD.", "Second, Earlybird: a streaming speech recogniser trained to finish words before the speaker does.", "Third, Don't Just Trust Your Memory: Evidence-Linked Memory Reduces Memory-Induced Degradation in LLM Agents. WikiTrace links each distilled lesson to its source trajectory and rationale, enabling LLM agents to verify and correct memories before acting, improving performance and reducing memory-induced degradation across agentic benchmarks.", "Fourth, Tree-Ising: Repairing Language Models with Bit-Level Ising Edits. Tree-Ising repairs reasoning loops in LLM weights by solving sparse Ising/QUBO problems over BF16 parameters, improving math benchmark accuracy with fewer weight edits and no gradient or LLM-token cost.", "Fifth, SteerDistill: Quantizing LLM Agents via Closed-Loop Teacher Steering. Low-bit quantized LLM agents can recover much of their task success through closed-loop guidance from a full-precision teacher, followed by unassisted student training on corrected and reference turns.", "That's the wrap for now from Papers." ], "engines": [ "This is the Nuntia briefing for Engines and tools, updated 13 November at 9:06 am.", "First, llama.cpp: 10 builds in 7 days, latest b12340.", "Second, I'm making LLMs work on small and old devices.", "Third, vllm v0.34.0rc2 released.", "Fourth, unsloth Dynamic v3.1 GGUFs + Performance Fixes released.", "Fifth, Kinetic — an exact-output local inference engine (Velocity).", "That's the wrap for now from Engines and tools." ], "business": [ "This is the Nuntia briefing for Business of AI, updated 13 November at 9:06 am.", "First, The FBI says North Korean hackers stole $400M+ in crypto in the last 18 months using FaceStealer, a scheme involving fake video calls and AI deepfakes (A.J. Vicens/Reuters).", "Second, Nectar launches an AI agent to automate creator discovery and outreach for brands. Nectar's new AI agent automates influencer marketing, helping brands discover creators, manage outreach and partnerships, and track campaign results.", "Third, Anthropic IPO.", "Fourth, United Airlines blocks AI agents from booking flights, citing cybersecurity risks. The airline said it will not allow customers to use AI agents to book flights and manage reservations.", "Fifth, Former Nvidia CEO Huang had a relationship with a second employee, sources say.", "That's the wrap for now from Business of AI." ], "posts": [ "This is the Nuntia briefing for Posts, updated 13 November at 9:06 am.", "First, Inkling 2 Small from Thinking Machines ( @thinkymachines ) is now on Ollama with zero data retention! The 594B mixture-of-experts model…. with 1M context window demonstrates strong visual interpretation and creation, agentic knowledge work, and finance and quantitative reasoning.", "Second, We optimized DeepSeek-V4.1-Flash on vLLM for Vera Rubin NVL72 and reached 58× the throughput of GB300 NVL72 at 1.7 million tokens/s/GPU and…. 387 tokens/s/user on SemiAnalysis AgentX. Across the curve: 2.52 million tokens/s/GPU at peak throughput (2.7× GB300) 1.7 million", "Third, Introducing 𝙻𝚒𝚚𝚞𝚒𝚍𝙲𝚘𝚍𝚎𝚌, our ~74M-parameter streaming audio codec powering LFM3-Audio-2B and LFM3-Omni-2B.…. An audio codec turns speech into tokens a language model can predict, then converts those tokens back into audio. We built ours around two requirements: tokens", "Fourth, 🚨 Our Generative AI Lab is releasing Primer: an open source agent-driven system where a teacher talks through lessons & gets back a…. playable simulation for their students, grounded in pedagogy. We hope educators & researchers build on it. Paper/prompts/code are open: gail.wharton.upenn.edu/primer/", "Fifth, Meet Gemini 4 Hydrogen: built for rapid coding, multimodal synthesis, and everyday workflows.…. It finishes tasks 2.5x faster than 3.8 Flash and surpasses Argon on the @ArtificialAnlys Intelligence Index.", "That's the wrap for now from Posts." ], "reads": [ "This is the Nuntia briefing for Blogs and discussion, updated 13 November at 9:06 am.", "First, a blog post: Lazarus: a closed-form weight edit that turns dormant neurons into trigger-activated payload writers. Microsoft researchers have discovered Lazarus, a backdoor technique that can reprogram dormant neurons in an AI model, causing an otherwise normal AI agent to execute malicious commands when a hidden trigger appears. The threat is especially serious for AI agents with tool or terminal access.", "Second, a discussion: Nvidia employees petition to bring back Jensen Huang.", "Third, a discussion: Gemini 4 Hydrogen.", "Fourth, a discussion: Chinese frontier AI models carry the fingerprint of export-controlled GPUs.", "Fifth, a discussion: Gemini 4 Hydrogen and Orchestrator.", "That's the wrap for now from Blogs and discussion." ] }, "topics": [ { "name": "agents", "heat": 61, "captures": 61, "votes": 0, "stories": 47 }, { "name": "evals", "heat": 41, "captures": 41, "votes": 0, "stories": 13 }, { "name": "inference-engines", "heat": 32, "captures": 32, "votes": 0, "stories": 17 }, { "name": "image-video", "heat": 24, "captures": 24, "votes": 0, "stories": 17 }, { "name": "quantization", "heat": 21, "captures": 21, "votes": 0, "stories": 22 }, { "name": "training", "heat": 19, "captures": 19, "votes": 0, "stories": 7 }, { "name": "speech", "heat": 16, "captures": 16, "votes": 0, "stories": 10 }, { "name": "on-device", "heat": 16, "captures": 16, "votes": 0, "stories": 5 }, { "name": "memory", "heat": 15, "captures": 15, "votes": 0, "stories": 12 }, { "name": "interpretability", "heat": 12, "captures": 12, "votes": 0, "stories": 6 }, { "name": "steering", "heat": 9, "captures": 9, "votes": 0, "stories": 5 }, { "name": "speculative-decoding", "heat": 9, "captures": 9, "votes": 0, "stories": 2 }, { "name": "weight-editing", "heat": 6, "captures": 6, "votes": 0, "stories": 6 }, { "name": "safety", "heat": 5, "captures": 5, "votes": 0, "stories": 6 }, { "name": "robotics", "heat": 4, "captures": 4, "votes": 0, "stories": 9 }, { "name": "decision-models", "heat": 2, "captures": 2, "votes": 0, "stories": 3 } ], "stories": [ { "id": "x:2121059953649819771", "area": "posts", "headline": "Inkling 2 Small from Thinking Machines ( @thinkymachines ) is now on Ollama with zero data retention! The 594B mixture-of-experts model…", "url": "https://x.com/ollama/status/2121059953649819771", "source": "ollama (X)", "time": "2026-11-13T01:57:54.000Z", "active": "2026-11-13T01:57:54.000Z", "summary": "with 1M context window demonstrates strong visual interpretation and creation, agentic knowledge work, and finance and quantitative reasoning.", "facts": [ "@ollama on X", "78 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.806, "score": 0.771 }, { "id": "x:2121008091538092393", "area": "posts", "headline": "We optimized DeepSeek-V4.1-Flash on vLLM for Vera Rubin NVL72 and reached 58× the throughput of GB300 NVL72 at 1.7 million tokens/s/GPU and…", "url": "https://x.com/vllm_project/status/2121008091538092393", "source": "vLLM (X)", "time": "2026-11-12T22:31:50.000Z", "active": "2026-11-12T22:31:50.000Z", "summary": "387 tokens/s/user on SemiAnalysis AgentX. Across the curve: 2.52 million tokens/s/GPU at peak throughput (2.7× GB300) 1.7 million", "facts": [ "@vllm_project on X", "134 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.838, "score": 0.735 }, { "id": "x:2120947649994228088", "area": "posts", "headline": "Introducing 𝙻𝚒𝚚𝚞𝚒𝚍𝙲𝚘𝚍𝚎𝚌, our ~74M-parameter streaming audio codec powering LFM3-Audio-2B and LFM3-Omni-2B.…", "url": "https://x.com/liquidai/status/2120947649994228088", "source": "Liquid AI (X)", "time": "2026-11-12T18:31:39.000Z", "active": "2026-11-12T18:31:39.000Z", "summary": "An audio codec turns speech into tokens a language model can predict, then converts those tokens back into audio. We built ours around two requirements: tokens", "facts": [ "@liquidai on X", "1018 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "speech" ], "votes": 0, "weight": 0.914, "score": 0.73 }, { "id": "bsky:at://did:plc:flxq4uyjfotciovpw3x3fxnu/app.bsky.feed.post/3n25jpzcdtk2p", "area": "posts", "headline": "🚨 Our Generative AI Lab is releasing Primer: an open source agent-driven system where a teacher talks through lessons & gets back a…", "url": "https://bsky.app/profile/emollick.bsky.social/post/3n25jpzcdtk2p", "source": "Ethan Mollick (Bluesky)", "time": "2026-11-12T22:34:59.292Z", "active": "2026-11-12T22:34:59.292Z", "summary": "playable simulation for their students, grounded in pedagogy. We hope educators & researchers build on it. Paper/prompts/code are open: gail.wharton.upenn.edu/primer/", "facts": [ "Ethan Mollick on Bluesky", "78 likes" ], "more": [ { "label": "link", "url": "https://gail.wharton.upenn.edu/primer/" } ], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.805, "score": 0.706 }, { "id": "x:2120940338869055788", "area": "posts", "headline": "Meet Gemini 4 Hydrogen: built for rapid coding, multimodal synthesis, and everyday workflows.…", "url": "https://x.com/GoogleDeepMind/status/2120940338869055788", "source": "Google DeepMind (X)", "time": "2026-11-12T18:02:36.000Z", "active": "2026-11-12T18:02:36.000Z", "summary": "It finishes tasks 2.5x faster than 3.8 Flash and surpasses Argon on the @ArtificialAnlys Intelligence Index.", "facts": [ "@GoogleDeepMind on X", "6120 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.891, "score": 0.704 }, { "id": "x:2120965026848846194", "area": "posts", "headline": "I'm not sure if people realize this, but what has been done to Jensen by the US is significantly WORSE than what happened to Jack Ma, for a…", "url": "https://x.com/teortaxesTex/status/2120965026848846194", "source": "Teortaxes (DeepSeek 推特铁粉 2023 – (X)", "time": "2026-11-12T19:40:42.000Z", "active": "2026-11-12T19:40:42.000Z", "summary": "comparable defiance of the state. Jack got \"disciplined\", but kept a position in Alibaba, and there's been no lurid character assassination.", "facts": [ "@teortaxesTex on X", "1697 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.811, "score": 0.664 }, { "id": "x:2120883918119592037", "area": "posts", "headline": "This whole thing sucks, and I wish none of it had happened.…", "url": "https://x.com/ClementDelangue/status/2120883918119592037", "source": "clem (X)", "time": "2026-11-12T14:18:24.000Z", "active": "2026-11-12T14:18:24.000Z", "summary": "This whole thing sucks, and I wish none of it had happened. It’s a really sad day! But I want to make one thing clear: we’ll keep fighting for open-source AI, harder than ever. This is too important to slow down now. Let’s go!", "facts": [ "@ClementDelangue on X", "8279 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.904, "score": 0.66 }, { "id": "x:2120989376855638308", "area": "posts", "headline": "Sad but still bullish on @nvidia ! I’m seeing a lot of people criticizing its structure and the lack of a clear CEO successor.…", "url": "https://x.com/ClementDelangue/status/2120989376855638308", "source": "clem (X)", "time": "2026-11-12T21:17:28.000Z", "active": "2026-11-12T21:17:28.000Z", "summary": "Having seen it from up close, I think a lot of this criticism is ill-informed and overly simplistic (as often happens when a company is run differently", "facts": [ "@ClementDelangue on X", "921 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.772, "score": 0.657 }, { "id": "x:2120841731302154708", "area": "posts", "headline": "Our initial public offering: https://ipo.anthropic.com Legal disclaimer: Anthropic has filed a registration statement (including a…", "url": "https://x.com/AnthropicAI/status/2120841731302154708", "source": "Anthropic (X)", "time": "2026-11-12T11:30:46.000Z", "active": "2026-11-12T11:30:46.000Z", "summary": "prospectus) with the SEC for the offering to which this communication relates. Before you invest, you should read the prospectus in that registration", "facts": [ "@AnthropicAI on X", "9538 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.919, "score": 0.635 }, { "id": "x:2120888604402815485", "area": "posts", "headline": "Super interesting work on agent memory. (this is a must-read) It discusses whether agents can manage their own memory.…", "url": "https://x.com/omarsar0/status/2120888604402815485", "source": "elvis (X)", "time": "2026-11-12T14:37:02.000Z", "active": "2026-11-12T14:37:02.000Z", "summary": "If so, what would that self-organized memory look like? This is the closest implementation that I have seen to my own memory system. I mostly use linked", "facts": [ "@omarsar0 on X", "199 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents", "memory" ], "votes": 0, "weight": 0.856, "score": 0.629 }, { "id": "x:2121020167203475892", "area": "posts", "headline": "Coming to MLX-VLM and @Nativ_AI", "url": "https://x.com/Prince_Canuma/status/2121020167203475892", "source": "Prince Canuma (X)", "time": "2026-11-12T23:19:49.000Z", "active": "2026-11-12T23:19:49.000Z", "summary": "", "facts": [ "@Prince_Canuma on X", "15 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.694, "score": 0.62 }, { "id": "x:2121057609444991421", "area": "posts", "headline": "Good to see the UK's AI Safety protest movements going strong!", "url": "https://x.com/NeelNanda5/status/2121057609444991421", "source": "Neel Nanda (X)", "time": "2026-11-13T01:48:36.000Z", "active": "2026-11-13T01:48:36.000Z", "summary": "", "facts": [ "@NeelNanda5 on X", "30 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "safety" ], "votes": 0, "weight": 0.648, "score": 0.617 }, { "id": "x:2121039423441981444", "area": "posts", "headline": "The pricing for Gemini 4 is pretty confusing - Argon and Carbon are the same token price as each other, and the new Hydrogen is only a 25%…", "url": "https://x.com/simonw/status/2121039423441981444", "source": "Simon Willison (X)", "time": "2026-11-13T00:36:20.000Z", "active": "2026-11-13T00:36:20.000Z", "summary": "discount on that price - though Carbon/Argon will 2x in price on Dec 1st Hydrogen's pelicans are notably worse https://simonwillison.net/2026/Nov/12/ll…", "facts": [ "@simonw on X", "141 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.657, "score": 0.606 }, { "id": "hf:videorebirthai/hyperflow-h3-flash", "area": "models", "headline": "VideoRebirthAI/hyperflow-h3-flash", "url": "https://huggingface.co/VideoRebirthAI/hyperflow-h3-flash", "source": "Hugging Face", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "quantised from MiniMaxAI/MiniMax-H3", "image-text-to-video", "licence other", "minimax-h3", "GGUF", "241 likes", "326.5k downloads" ], "more": [], "sources": 2, "picked": true, "topics": [ "quantization", "speech", "image-video" ], "votes": 0, "weight": 1, "score": 0.6 }, { "id": "hf:tencent/qwen3.8-27b-dspine-b16", "area": "models", "headline": "tencent/Qwen3.8-27B-DSpine-b16", "url": "https://huggingface.co/tencent/Qwen3.8-27B-DSpine-b16", "source": "Hugging Face", "time": "2026-11-07T14:20:29.000Z", "active": "2026-11-07T14:20:29.000Z", "summary": "DSpine drafts a whole block of tokens in one pass, passing each position's predicted features to the next position at every layer, so each draft token is conditioned on its predecessors without a second step.", "facts": [ "text-generation", "licence apache-2.0", "210 likes", "3.7k downloads" ], "more": [ { "label": "paper", "url": "https://arxiv.org/abs/2609.36173" }, { "label": "paper", "url": "https://arxiv.org/abs/2607.05147" } ], "sources": 2, "picked": true, "topics": [ "inference-engines", "speculative-decoding", "agents" ], "votes": 0, "weight": 0.995, "score": 0.597 }, { "id": "url:techmeme.com/261112/p63", "area": "business", "headline": "The FBI says North Korean hackers stole $400M+ in crypto in the last 18 months using \"FaceStealer\", a scheme involving fake video calls and AI deepfakes (A.J. Vicens/Reuters)", "url": "https://www.techmeme.com/261112/p63#a261112p63", "source": "Techmeme", "time": "2026-11-12T23:35:01.000Z", "active": "2026-11-12T23:35:01.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "image-video" ], "votes": 0, "weight": 0.661, "score": 0.594 }, { "id": "x:2120942688702996945", "area": "posts", "headline": "Nvidia Board needs to chase down Charlie Kawwas or Johny Srouji. They are the only somewhat viable CEO replacements.", "url": "https://x.com/dylan522p/status/2120942688702996945", "source": "Dylan Patel (X)", "time": "2026-11-12T18:11:56.000Z", "active": "2026-11-12T18:11:56.000Z", "summary": "", "facts": [ "@dylan522p on X", "578 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.742, "score": 0.589 }, { "id": "x:2120880836488913049", "area": "posts", "headline": "Rip. Now I have to explain why. Lots of work ahead.", "url": "https://x.com/natolambert/status/2120880836488913049", "source": "Nathan Lambert (X)", "time": "2026-11-12T14:06:10.000Z", "active": "2026-11-12T14:06:10.000Z", "summary": "", "facts": [ "@natolambert on X", "1664 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.805, "score": 0.585 }, { "id": "x:2120941182712742130", "area": "posts", "headline": "there will be something big for local AI tomorrow", "url": "https://x.com/mervenoyann/status/2120941182712742130", "source": "merve (X)", "time": "2026-11-12T18:05:57.000Z", "active": "2026-11-12T18:05:57.000Z", "summary": "", "facts": [ "@mervenoyann on X", "409 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.724, "score": 0.573 }, { "id": "x:2120984279543087422", "area": "posts", "headline": "Inkling 2 small weights are out! Go have fun with it yourself, or continue using Tinker :^)", "url": "https://x.com/cHHillee/status/2120984279543087422", "source": "Horace He (X)", "time": "2026-11-12T20:57:12.000Z", "active": "2026-11-12T20:57:12.000Z", "summary": "", "facts": [ "@cHHillee on X", "184 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.675, "score": 0.57 }, { "id": "x:2120899453510942743", "area": "posts", "headline": "Hoping Nemotron keeps going. Thankfully, open weight LLMs have some alternatives.…", "url": "https://x.com/rasbt/status/2120899453510942743", "source": "Sebastian Raschka (X)", "time": "2026-11-12T15:20:08.000Z", "active": "2026-11-12T15:20:08.000Z", "summary": "But their open data and full training recipes would be much harder to replace.", "facts": [ "@rasbt on X", "595 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.746, "score": 0.556 }, { "id": "x:2120890682743443481", "area": "posts", "headline": "Sending support to all my Nvidia friends today, especially at Nemotron and HuggingFace.…", "url": "https://x.com/natolambert/status/2120890682743443481", "source": "Nathan Lambert (X)", "time": "2026-11-12T14:45:17.000Z", "active": "2026-11-12T14:45:17.000Z", "summary": "I hope your work comes back even stronger after a transition period. It’s absolutely crucial.", "facts": [ "@natolambert on X", "631 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.749, "score": 0.552 }, { "id": "url:techcrunch.com/2026/11/12/nectar-launches-an-ai-agent-to-automate-creator-discovery-and-outreach-for-brands", "area": "business", "headline": "Nectar launches an AI agent to automate creator discovery and outreach for brands", "url": "https://techcrunch.com/2026/11/12/nectar-launches-an-ai-agent-to-automate-creator-discovery-and-outreach-for-brands/", "source": "TechCrunch AI", "time": "2026-11-12T19:11:00.000Z", "active": "2026-11-12T19:11:00.000Z", "summary": "Nectar's new AI agent automates influencer marketing, helping brands discover creators, manage outreach and partnerships, and track campaign results.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.678, "score": 0.549 }, { "id": "x:2120760287985029224", "area": "posts", "headline": "Welcome to the Hermes Agent crew!", "url": "https://x.com/Teknium/status/2120760287985029224", "source": "Teknium (X)", "time": "2026-11-12T06:07:09.000Z", "active": "2026-11-12T06:07:09.000Z", "summary": "", "facts": [ "@Teknium on X", "333 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.87, "score": 0.545 }, { "id": "x:2120891320583741488", "area": "posts", "headline": "my opinion: no one asked for it but in the world of \"islands\" where people get away with horrible things, as well as tech founders who had…", "url": "https://x.com/mervenoyann/status/2120891320583741488", "source": "merve (X)", "time": "2026-11-12T14:47:49.000Z", "active": "2026-11-12T14:47:49.000Z", "summary": "worse scandals, I cannot comprehend this psyop against Jensen", "facts": [ "@mervenoyann on X", "480 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.732, "score": 0.54 }, { "id": "url:ipo.anthropic.com/us", "area": "business", "headline": "Anthropic IPO", "url": "https://ipo.anthropic.com/us/", "source": "Hacker News", "time": "2026-11-12T11:46:41.000Z", "active": "2026-11-12T11:46:41.000Z", "summary": "", "facts": [ "845 points and 822 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (845 points)", "url": "https://news.ycombinator.com/item?id=50465829" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.777, "score": 0.54 }, { "id": "x:2120723320890925142", "area": "posts", "headline": "BREAKING NEWS: Less than 3 weeks since the MiniMax M3.1 Flash launch, NVIDIA and @Inferact have already submitted an initial vLLM Rubin…", "url": "https://x.com/SemiAnalysis_/status/2120723320890925142", "source": "SemiAnalysis (X)", "time": "2026-11-12T03:40:15.000Z", "active": "2026-11-12T03:40:15.000Z", "summary": "NVL72 submission that is state-of-the-art and delivers 6.5x better perf per TCO than GB300 NVL72. Great to see that Rubin is already becoming", "facts": [ "@SemiAnalysis_ on X", "495 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.897, "score": 0.538 }, { "id": "x:2120925700534460775", "area": "posts", "headline": "sorry for the tech issues yesterday but omg @lydiahallie posted her makeup talk last night and it already got 200k views in 13 hours -…", "url": "https://x.com/swyx/status/2120925700534460775", "source": "swyx @aiDotEngineer CODE (X)", "time": "2026-11-12T17:04:26.000Z", "active": "2026-11-12T17:04:26.000Z", "summary": "highest day 0 count in the history of AIE!!", "facts": [ "@swyx on X", "266 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.695, "score": 0.538 }, { "id": "x:2120940382477517000", "area": "posts", "headline": "Today, we're shipping Gemini 4 Hydrogen in @GoogleAIStudio , the Gemini API! It became my daily driver for day-to-day fast execution,…", "url": "https://x.com/_philschmid/status/2120940382477517000", "source": "Philipp Schmid (X)", "time": "2026-11-12T18:02:47.000Z", "active": "2026-11-12T18:02:47.000Z", "summary": "research loops and is a great subagent, paired with Carbon. Hydrogen is great at the fast code-to-test loops. - Outperforms Argon on", "facts": [ "@_philschmid on X", "201 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.679, "score": 0.536 }, { "id": "x:2120715518243987685", "area": "posts", "headline": "Submissions for the Hermes Agent Plugin Hackathon closed at 5PM EST, and we received nearly 1,000 entries.…", "url": "https://x.com/NousResearch/status/2120715518243987685", "source": "Nous Research (X)", "time": "2026-11-12T03:09:15.000Z", "active": "2026-11-12T03:09:15.000Z", "summary": "Thank you to everyone who built and submitted them! Our judges are working on sorting through submissions to narrow down the top 10 now. Winners will be emailed directly,", "facts": [ "@NousResearch on X", "436 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.893, "score": 0.532 }, { "id": "url:techcrunch.com/2026/11/12/united-airlines-blocks-ai-agents-from-booking-flights-citing-cybersecurity-risks", "area": "business", "headline": "United Airlines blocks AI agents from booking flights, citing cybersecurity risks", "url": "https://techcrunch.com/2026/11/12/united-airlines-blocks-ai-agents-from-booking-flights-citing-cybersecurity-risks/", "source": "TechCrunch AI", "time": "2026-11-12T17:17:58.000Z", "active": "2026-11-12T17:17:58.000Z", "summary": "The airline said it will not allow customers to use AI agents to book flights and manage reservations.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.678, "score": 0.527 }, { "id": "x:2120896608543924560", "area": "posts", "headline": "LLM training is hard. Hard to be a jack of all trades.", "url": "https://x.com/rasbt/status/2120896608543924560", "source": "Sebastian Raschka (X)", "time": "2026-11-12T15:08:50.000Z", "active": "2026-11-12T15:08:50.000Z", "summary": "", "facts": [ "@rasbt on X", "349 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.709, "score": 0.527 }, { "id": "hf:minimaxai/minimax-h3-image", "area": "models", "headline": "MiniMaxAI/MiniMax-H3-Image", "url": "https://huggingface.co/MiniMaxAI/MiniMax-H3-Image", "source": "Hugging Face", "time": "2026-11-12T05:26:54.000Z", "active": "2026-11-12T05:26:54.000Z", "summary": "November 11, 2026 — Google enters the decision model market. At AI Engineer, Cloudflare showed which parts of a build failure a classifier could handle. TypeSafe AI showed off their production customers.", "facts": [ "text-to-image", "licence other", "minimax-h3", "880 likes", "306.7k downloads" ], "more": [ { "label": "Latent Space: [AINews] D-Day (Decision Models Day)", "url": "https://latent.space/p/ainews-d-day-decision-models-day/" }, { "label": "Latent Space: [AINews] Mercor $750m Series D at $20B valuation, $3B run rate", "url": "https://latent.space/p/ainews-mercor-750m-series-d-at-20b-valuation-3b-run-rate/" } ], "sources": 2, "picked": false, "topics": [ "decision-models", "image-video" ], "votes": 0, "weight": 0.85, "score": 0.526 }, { "id": "x:2120617704101155270", "area": "posts", "headline": "Persistent Agents are the next unlock of AI usage Our spend on AI is now 45% persistent agents Unfortunately for Anthropic, Claude Tags…", "url": "https://x.com/dylan522p/status/2120617704101155270", "source": "Dylan Patel (X)", "time": "2026-11-11T20:40:34.000Z", "active": "2026-11-11T20:40:34.000Z", "summary": "sucks OpenAI's Slack agent is even worse We primarily use Perplexity Computer, which uses a lot of different models Perplexity's Harness mogs", "facts": [ "@dylan522p on X", "1150 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.951, "score": 0.512 }, { "id": "x:2120679312965968304", "area": "posts", "headline": "You heard it here first. Once Jensen falls Hugging Face shuts down, and after that nobody's downloading open models anymore.…", "url": "https://x.com/Da7_Tech/status/2120679312965968304", "source": "Da7em (X)", "time": "2026-11-12T00:45:23.000Z", "active": "2026-11-12T00:45:23.000Z", "summary": "The people at the top only care about money and power. Our freedom won't survive that. So pull the open models you care about off Hugging Face now, while", "facts": [ "@Da7_Tech on X", "6517 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.893, "score": 0.511 }, { "id": "url:reuters.com/technology/former-nvidia-ceo-huang-had-relationship-with-second-employee-sources-say-2026-11-12", "area": "business", "headline": "Former Nvidia CEO Huang had a relationship with a second employee, sources say", "url": "https://www.reuters.com/technology/former-nvidia-ceo-huang-had-relationship-with-second-employee-sources-say-2026-11-12/", "source": "Hacker News", "time": "2026-11-12T19:51:33.000Z", "active": "2026-11-12T19:51:33.000Z", "summary": "", "facts": [ "127 points and 173 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (127 points)", "url": "https://news.ycombinator.com/item?id=50473190" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.617, "score": 0.508 }, { "id": "bsky:at://did:plc:kft6lu4trxowqmter2b6vg6z/app.bsky.feed.post/3n25qivmljs2t", "area": "posts", "headline": "The pricing for Gemini 4 is pretty confusing - Argon and Carbon are the same token price as each other, and the new Hydrogen is only a 25%…", "url": "https://bsky.app/profile/simonwillison.net/post/3n25qivmljs2t", "source": "Simon Willison (Bluesky)", "time": "2026-11-13T00:36:16.745Z", "active": "2026-11-13T00:36:16.745Z", "summary": "discount on that price - though Carbon/Argon will 2x in price on Dec 1st Hydrogen's pelicans are notably worse simonwillison.net/2026/Nov/12/...", "facts": [ "Simon Willison on Bluesky", "22 likes" ], "more": [ { "label": "link", "url": "https://simonwillison.net/2026/Nov/12/llm-gemini/" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.547, "score": 0.505 }, { "id": "x:2120749548851368358", "area": "posts", "headline": "VoxMel Wavelet-Factorized Autoregressive Mel-Spectrogram Modeling for Zero-Shot Speech Synthesis models: https://huggingface.co/VoxDance-Lab", "url": "https://x.com/_akhaliq/status/2120749548851368358", "source": "AK (X)", "time": "2026-11-12T05:24:28.000Z", "active": "2026-11-12T05:24:28.000Z", "summary": "", "facts": [ "@_akhaliq on X", "174 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "speech" ], "votes": 0, "weight": 0.814, "score": 0.503 }, { "id": "x:2121084280214532179", "area": "posts", "headline": "I'll be giving a talk tomorrow at the SGLang Summit at 10am! Oftentimes, I find explanations in ML infra to be unsatisfying.…", "url": "https://x.com/cHHillee/status/2121084280214532179", "source": "Horace He (X)", "time": "2026-11-13T03:34:34.000Z", "active": "2026-11-13T03:34:34.000Z", "summary": "A common failure mode is that they'll explain the *literal* tradeoffs but fail to provide a mental model for how to reason about the choice. This talk", "facts": [ "@cHHillee on X", "0 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.501, "score": 0.5 }, { "id": "x:2120535187587268777", "area": "posts", "headline": "OpenClaw, Hermes Agent and Prime Agent don't meaningfully learn from experience.…", "url": "https://x.com/DanielLenton1/status/2120535187587268777", "source": "Daniel Lenton (X)", "time": "2026-11-11T15:12:41.000Z", "active": "2026-11-11T15:12:41.000Z", "summary": "On Continual-ARC, our new benchmark at @letsunifyai , none of them were able to memorize anything of value and none were able to generalize to new tasks. Training a small 9B model's weights did both.", "facts": [ "@DanielLenton1 on X", "1391 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents", "evals" ], "votes": 0, "weight": 1, "score": 0.497 }, { "id": "x:2120955594740007024", "area": "posts", "headline": "if you say shit like “this was obviously the CIA working with Dario working with the CCP working with Mossad to remove Jensen” I think you…", "url": "https://x.com/StevenGlinert/status/2120955594740007024", "source": "Glinert (X)", "time": "2026-11-12T19:03:13.000Z", "active": "2026-11-12T19:03:13.000Z", "summary": "should have your right to vote removed. Sleeping with your direct reports is considered extremely bad, just for starters.", "facts": [ "@StevenGlinert on X", "73 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.612, "score": 0.494 }, { "id": "x:2120536946774769860", "area": "posts", "headline": "Today, we're releasing the highest accuracy Qwen3.8-27B GGUFs.…", "url": "https://x.com/UnslothAI/status/2120536946774769860", "source": "Unsloth AI (X)", "time": "2026-11-11T15:19:40.000Z", "active": "2026-11-11T15:19:40.000Z", "summary": "Our new Dynamic V3.1 GGUFs lead by 5–10% on average across Terminal Bench, DeepSWE & more. We’re working on even better version for Qwen4 Run on 12GB RAM. GGUF: https://huggingface.co/unsloth/Qwen3.", "facts": [ "@UnslothAI on X", "3259 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.988, "score": 0.492 }, { "id": "bsky:at://did:plc:o3pmmtxoor73pszydv7pffsv/app.bsky.feed.post/3n253coz7vg2c", "area": "posts", "headline": "All 146 session recordings from #PyTorchCon North America 2026 are on YouTube, from keynotes to technical talks on training, inference, and…", "url": "https://bsky.app/profile/pytorch.org/post/3n253coz7vg2c", "source": "PyTorch (Bluesky)", "time": "2026-11-12T18:16:59.533Z", "active": "2026-11-12T18:16:59.533Z", "summary": "kernel engineering. The conference covered PyTorch, vLLM, DeepSpeed, Ray, Helion, and Safetensors. https://www.youtube.com/playlist?list=PLVqjs87Mef-U", "facts": [ "PyTorch on Bluesky", "3 likes" ], "more": [ { "label": "link", "url": "https://www.youtube.com/playlist?list=PLVqjs87Mef-U" } ], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.597, "score": 0.474 }, { "id": "x:2120897213534531989", "area": "posts", "headline": "In other bad news for Nvidia: @stokel found that Hugging Face, which Nvidia recently agreed to acquire, appears to be hosting a load of…", "url": "https://x.com/ShakeelHashim/status/2120897213534531989", "source": "Shakeel (X)", "time": "2026-11-12T15:11:14.000Z", "active": "2026-11-12T15:11:14.000Z", "summary": "models that could be used for cyber attacks.", "facts": [ "@ShakeelHashim on X", "55 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.628, "score": 0.467 }, { "id": "x:2120654098739679706", "area": "posts", "headline": "Unified Memory in SGLang: One Arena for Every Token Lifetime Hybrid models mix full-attention KV, sliding-window KV, and recurrent state.…", "url": "https://x.com/lmsysorg/status/2120654098739679706", "source": "LMSYS Org (X)", "time": "2026-11-11T23:05:11.000Z", "active": "2026-11-11T23:05:11.000Z", "summary": "Fixed memory partitions waste GPU capacity. We built a shared arena where memory dynamically follows demand. Key innovations: No", "facts": [ "@lmsysorg on X", "106 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines", "memory" ], "votes": 0, "weight": 0.814, "score": 0.454 }, { "id": "x:2120638750740844672", "area": "posts", "headline": "Highly recommended read. This is a topic I have been researching and writing about recently.…", "url": "https://x.com/omarsar0/status/2120638750740844672", "source": "elvis (X)", "time": "2026-11-11T22:04:12.000Z", "active": "2026-11-11T22:04:12.000Z", "summary": "The way we use agent memory in harnesses today works, but mostly for simple, one-off, and general tasks. For more novel, complex, and domain-specific tasks, you will often find that", "facts": [ "@omarsar0 on X", "114 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents", "memory" ], "votes": 0, "weight": 0.817, "score": 0.449 }, { "id": "x:2120728631961927788", "area": "posts", "headline": "performance depends on the shape of your traffic short in / long out → decode speed. long prompts → prefill.…", "url": "https://x.com/togethercompute/status/2120728631961927788", "source": "Together AI (X)", "time": "2026-11-12T04:01:21.000Z", "active": "2026-11-12T04:01:21.000Z", "summary": "tool-heavy agents → end-to-end latency. repeated turns → token economics measure the bottleneck your workload actually creates", "facts": [ "@togethercompute on X", "29 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.741, "score": 0.447 }, { "id": "x:2120909484834873604", "area": "posts", "headline": "When your model is robust to Chinese adversaries, but you're not robust to adversarial Chinese models", "url": "https://x.com/arankomatsuzaki/status/2120909484834873604", "source": "Aran Komatsuzaki (X)", "time": "2026-11-12T16:00:00.000Z", "active": "2026-11-12T16:00:00.000Z", "summary": "", "facts": [ "@arankomatsuzaki on X", "41 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.59, "score": 0.446 }, { "id": "x:2120729759550423485", "area": "posts", "headline": "Thanks everyone for participating. Insane amount of competition in this hackathon! Looking forward to seeing all the results and…", "url": "https://x.com/Teknium/status/2120729759550423485", "source": "Teknium (X)", "time": "2026-11-12T04:05:50.000Z", "active": "2026-11-12T04:05:50.000Z", "summary": "", "facts": [ "@Teknium on X", "470 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.73, "score": 0.442 }, { "id": "x:2120609882663780777", "area": "posts", "headline": "World In-Context Learning for Agentic Robot Manipulation paper: https://huggingface.co/papers/2611.12 885 …", "url": "https://x.com/_akhaliq/status/2120609882663780777", "source": "AK (X)", "time": "2026-11-11T20:09:29.000Z", "active": "2026-11-11T20:09:29.000Z", "summary": "", "facts": [ "@_akhaliq on X", "130 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "agents", "robotics" ], "votes": 0, "weight": 0.824, "score": 0.44 }, { "id": "x:2120616313978520034", "area": "posts", "headline": "Hey, remember “talk to your documents” RAG-based solutions as the future of AI? Crazy times a year and a half ago.", "url": "https://x.com/emollick/status/2120616313978520034", "source": "Ethan Mollick (X)", "time": "2026-11-11T20:35:03.000Z", "active": "2026-11-11T20:35:03.000Z", "summary": "", "facts": [ "@emollick on X", "1548 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.8, "score": 0.43 }, { "id": "x:2120581248859201675", "area": "posts", "headline": "Excited to announce the Gemini Decisions API, a new API for yes/no, multiple choice, and rubric questions, powered by our new Gemini…", "url": "https://x.com/_philschmid/status/2120581248859201675", "source": "Philipp Schmid (X)", "time": "2026-11-11T18:15:42.000Z", "active": "2026-11-11T18:15:42.000Z", "summary": "Decision 1 model. Text, images, audio, video, PDFs input support Up to 1,000 questions per request, 256k context 150-250 ms end-to-end", "facts": [ "@_philschmid on X", "157 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "speech", "image-video" ], "votes": 0, "weight": 0.822, "score": 0.426 }, { "id": "gh:ggml-org/llama.cpp", "area": "engines", "headline": "llama.cpp: 10 builds in 7 days, latest b12340", "url": "https://github.com/ggml-org/llama.cpp/releases", "source": "GitHub", "time": "2026-11-13T01:16:58.000Z", "active": "2026-11-13T01:16:58.000Z", "summary": "", "facts": [ "ggml-org/llama.cpp", "10 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.453, "score": 0.425 }, { "id": "x:2120532824465805749", "area": "posts", "headline": "Your heart, brain, and immune system share the same DNA sequence.…", "url": "https://x.com/GoogleDeepMind/status/2120532824465805749", "source": "Google DeepMind (X)", "time": "2026-11-11T15:03:17.000Z", "active": "2026-11-11T15:03:17.000Z", "summary": "So how can a single-letter change affect disease in some cells, while sparing the rest? AlphaGenome 2 is our new AI model that zooms in on specific cells to help scientists understand what drives disease.", "facts": [ "@GoogleDeepMind on X", "2893 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.856, "score": 0.425 }, { "id": "gh:hyperionaidev/smolmaxxing", "area": "engines", "headline": "I'm making LLMs work on small and old devices", "url": "https://github.com/hyperionaidev/smolmaxxing/", "source": "Hacker News", "time": "2026-11-12T15:23:10.000Z", "active": "2026-11-12T15:23:10.000Z", "summary": "", "facts": [ "292 points and 100 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (292 points)", "url": "https://news.ycombinator.com/item?id=50468888" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.563, "score": 0.421 }, { "id": "x:2120502534695514279", "area": "posts", "headline": "Anyhow, in a little over a week we will see the release of The Last Human Game.…", "url": "https://x.com/emollick/status/2120502534695514279", "source": "Ethan Mollick (X)", "time": "2026-11-11T13:02:55.000Z", "active": "2026-11-11T13:02:55.000Z", "summary": "There will never be another AAA game at the scale of GTA 6 with no AI assistance. People will look back at an all-human game with a billion dollar budget and wonder how they did it, like the Pyramids", "facts": [ "@emollick on X", "4267 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.864, "score": 0.417 }, { "id": "x:2120566740560261237", "area": "posts", "headline": "Muse Spark Open: 517 → 1,109 tokens/s on 8× GB300 with SGLang megakernels.…", "url": "https://x.com/lmsysorg/status/2120566740560261237", "source": "LMSYS Org (X)", "time": "2026-11-11T17:18:03.000Z", "active": "2026-11-11T17:18:03.000Z", "summary": "One kernel launch per layer, overlapping compute, memory loads and communication. Total launches per decode step drop from 1,450 to 97.", "facts": [ "@lmsysorg on X", "90 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines", "memory" ], "votes": 0, "weight": 0.814, "score": 0.417 }, { "id": "x:2120544760041730294", "area": "posts", "headline": "We're releasing new Qwen3.8-27B GGUFs with Unsloth Dynamic V3.1! Expect 5-10% accuracy gains on the same size vs UD3 and other quants.…", "url": "https://x.com/danielhanchen/status/2120544760041730294", "source": "Daniel Han (X)", "time": "2026-11-11T15:50:43.000Z", "active": "2026-11-11T15:50:43.000Z", "summary": "We do better vs GSQ-RCO, Exllama-v3 on the pareto frontier for Terminal Bench, DeepSWE and more. Quants above 2-bit to 6-bit are updated. We", "facts": [ "@danielhanchen on X", "165 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.821, "score": 0.412 }, { "id": "x:2120547100261863453", "area": "posts", "headline": "Finetuning LLMs can sometimes cause surprising side effects.…", "url": "https://x.com/TransluceAI/status/2120547100261863453", "source": "Transluce (X)", "time": "2026-11-11T16:00:01.000Z", "active": "2026-11-11T16:00:01.000Z", "summary": "Can we predict a finetuned model's response from its training data before burning compute? We trained oversight models to do this and found performance follows power laws in model size and data.", "facts": [ "@TransluceAI on X", "151 likes" ], "more": [], "sources": 1, "picked": false, "topics": [ "training" ], "votes": 0, "weight": 0.817, "score": 0.411 }, { "id": "bsky:at://did:plc:flxq4uyjfotciovpw3x3fxnu/app.bsky.feed.post/3n22xdtz4kk2i", "area": "posts", "headline": "People who have no contact with coders seem to have no idea how much an entire profession transformed in less than a year due to AI.…", "url": "https://bsky.app/profile/emollick.bsky.social/post/3n22xdtz4kk2i", "source": "Ethan Mollick (Bluesky)", "time": "2026-11-11T22:00:44.261Z", "active": "2026-11-11T22:00:44.261Z", "summary": "It is so weird to still see comments here that AI hasn’t changed anything or that AI code is bad or that companies are retreating from AI use. Does not match reality.", "facts": [ "Ethan Mollick on Bluesky", "520 likes" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.745, "score": 0.409 }, { "id": "url:techmeme.com/261112/p69", "area": "business", "headline": "Sources: Nvidia faced pressure to boost its 25% residual value support backstop on a planned $500B AI financing vehicle with asset managers before Huang's exit (Bloomberg)", "url": "https://www.techmeme.com/261112/p69#a261112p69", "source": "Techmeme", "time": "2026-11-13T02:11:02.000Z", "active": "2026-11-13T02:11:02.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.401 }, { "id": "hf:prunaai/p-h3-image-comfy", "area": "models", "headline": "PrunaAI/P-H3-Image-Comfy", "url": "https://huggingface.co/PrunaAI/P-H3-Image-Comfy", "source": "Hugging Face", "time": "2026-10-28T11:26:05.000Z", "active": "2026-10-28T11:26:05.000Z", "summary": "", "facts": [ "quantised from PrunaAI/P-H3-Image", "text-to-image", "licence other", "diffusion-single-file", "351 likes", "978.0k downloads" ], "more": [ { "label": "Hugging Face: PrunaAI/P-H3-Image", "url": "https://huggingface.co/PrunaAI/P-H3-Image" } ], "sources": 1, "picked": false, "topics": [ "quantization", "image-video" ], "votes": 0, "weight": 0.661, "score": 0.397 }, { "id": "url:techmeme.com/261112/p65", "area": "business", "headline": "New York-based Hatz AI, which makes tools for managed services providers to help small businesses adopt AI, raised a $24M Series A (CJ Fairfield/CRN)", "url": "https://www.techmeme.com/261112/p65#a261112p65", "source": "Techmeme", "time": "2026-11-13T00:30:00.000Z", "active": "2026-11-13T00:30:00.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.384 }, { "id": "gh:vllm-project/vllm", "area": "engines", "headline": "vllm v0.34.0rc2 released", "url": "https://github.com/vllm-project/vllm/releases/tag/v0.34.0rc2", "source": "GitHub", "time": "2026-11-12T06:21:02.000Z", "active": "2026-11-12T06:21:02.000Z", "summary": "", "facts": [ "vllm-project/vllm", "3 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.602, "score": 0.378 }, { "id": "x:2120435924756791433", "area": "posts", "headline": "\"Weight space programming will replace fine tuning\" — Nandakishor M, with the Kaggle notebook", "url": "https://x.com/Nandakishorm1/status/2120435924756791433", "source": "X", "time": "2026-11-11T00:00:00.000Z", "active": "2026-11-11T00:00:00.000Z", "summary": "", "facts": [ "Nandakishor M (Nandakishorm1; also NandhaKishorM, the vegaml and Laya author)" ], "more": [], "sources": 1, "picked": true, "topics": [ "weight-editing", "interpretability", "evals" ], "votes": 0, "weight": 0.893, "score": 0.367 }, { "id": "url:techmeme.com/261112/p62", "area": "business", "headline": "Analysis of open weights: six models from DeepSeek, Moonshot, MiniMax, and Ant Group released since April carry fingerprints of export-controlled Blackwell GPUs (Will DePue/Unemployment Labs)", "url": "https://www.techmeme.com/261112/p62#a261112p62", "source": "Techmeme", "time": "2026-11-12T22:30:04.000Z", "active": "2026-11-12T22:30:04.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.365 }, { "id": "url:techcrunch.com/2026/11/12/muse-can-now-place-calls-to-u-s-businesses-if-you-pay", "area": "business", "headline": "Muse can now place calls to US businesses — if you pay", "url": "https://techcrunch.com/2026/11/12/muse-can-now-place-calls-to-u-s-businesses-if-you-pay/", "source": "TechCrunch AI", "time": "2026-11-12T22:22:28.000Z", "active": "2026-11-12T22:22:28.000Z", "summary": "Muse's AI can now place outbound calls to U.S. businesses — but it's not free.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.364 }, { "id": "url:techmeme.com/261112/p60", "area": "business", "headline": "Artificial Analysis' Intelligence Index: Gemini 4 Hydrogen nearly ties Claude Sonnet 5.5 and GPT-6.1 Sol, at a third of Sonnet's cost but ~2.5x that of Sol (@artificialanlys)", "url": "https://www.techmeme.com/261112/p60#a261112p60", "source": "Techmeme", "time": "2026-11-12T22:15:00.000Z", "active": "2026-11-12T22:15:00.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.363 }, { "id": "url:techcrunch.com/2026/11/12/nebius-tests-the-neocloud-playbook-with-40-billion-in-planned-spending", "area": "business", "headline": "Nebius tests the neocloud playbook with $40 billion in planned spending", "url": "https://techcrunch.com/2026/11/12/nebius-tests-the-neocloud-playbook-with-40-billion-in-planned-spending/", "source": "TechCrunch AI", "time": "2026-11-12T21:27:10.000Z", "active": "2026-11-12T21:27:10.000Z", "summary": "Nebius plans to fund its $40 billion AI infrastructure expansion through customer prepayments and loans, even as delays at a Microsoft data center raise questions about its financing model.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.356 }, { "id": "x:2120412679835951382", "area": "posts", "headline": "Sauers — character-action subnetwork, OLMo-2-7B against Qwen3-8B", "url": "https://x.com/Sauers_/status/2120412679835951382", "source": "X", "time": "2026-11-11T00:00:00.000Z", "active": "2026-11-11T00:00:00.000Z", "summary": "Post text: \"Qwen has a fragmented character-action subnetwork: what they say is structurally disconnected from what they do.", "facts": [ "Sauers (@Sauers)" ], "more": [], "sources": 1, "picked": true, "topics": [ "interpretability", "safety" ], "votes": 0, "weight": 0.852, "score": 0.35 }, { "id": "url:techcrunch.com/2026/11/12/googles-latest-search-upgrade-promises-better-answers-to-your-most-complicated-questions", "area": "business", "headline": "Google’s latest Search upgrade promises better answers to your most complicated questions", "url": "https://techcrunch.com/2026/11/12/googles-latest-search-upgrade-promises-better-answers-to-your-most-complicated-questions/", "source": "TechCrunch AI", "time": "2026-11-12T19:27:45.000Z", "active": "2026-11-12T19:27:45.000Z", "summary": "Powered by Gemini 4 Hydrogen, Google's AI Mode is getting better at understanding complex queries, surfacing relevant links, and delivering richer visual responses.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.34 }, { "id": "url:techcrunch.com/2026/11/12/jensen-huangs-exit-puts-nvidias-support-for-open-source-in-question", "area": "business", "headline": "Jensen Huang’s exit puts Nvidia’s support for open source in question", "url": "https://techcrunch.com/2026/11/12/jensen-huangs-exit-puts-nvidias-support-for-open-source-in-question/", "source": "TechCrunch AI", "time": "2026-11-12T18:39:23.000Z", "active": "2026-11-12T18:39:23.000Z", "summary": "Jensen Huang’s resignation raises questions about Nvidia’s commitment to open source AI, including its Hugging Face acquisition, open-weight models, and advocacy against restrictions, as the company navigates a leadership transition.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.334 }, { "id": "url:techcrunch.com/2026/11/12/hugging-face-ceo-vows-to-keep-fighting-for-open-source-ai-after-jensen-huangs-exit", "area": "business", "headline": "Hugging Face CEO vows to keep fighting for open source AI after Jensen Huang’s exit", "url": "https://techcrunch.com/2026/11/12/hugging-face-ceo-vows-to-keep-fighting-for-open-source-ai-after-jensen-huangs-exit/", "source": "TechCrunch AI", "time": "2026-11-12T17:36:40.000Z", "active": "2026-11-12T17:36:40.000Z", "summary": "Hugging Face's CEO pledged to keep fighting for open source AI after Huang's exit, raising questions about Nvidia's $12.9 billion acquisition.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.326 }, { "id": "url:techcrunch.com/2026/11/12/softbanks-billion-dollar-loss-may-have-put-a-cap-on-ais-natural-gas-ambitions", "area": "business", "headline": "SoftBank’s billion-dollar loss may have put a cap on AI’s natural gas ambitions", "url": "https://techcrunch.com/2026/11/12/softbanks-billion-dollar-loss-may-have-put-a-cap-on-ais-natural-gas-ambitions/", "source": "TechCrunch AI", "time": "2026-11-12T17:00:52.000Z", "active": "2026-11-12T17:00:52.000Z", "summary": "SoftBank lost over $3 billion preordering natural gas turbines to power AI data centers. Here's what the loss means to power markets.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.322 }, { "id": "url:techcrunch.com/2026/11/12/phota-labs-uses-ai-to-turn-everyday-photos-into-professional-looking-shots", "area": "business", "headline": "Phota Labs uses AI to turn everyday photos into professional-looking shots", "url": "https://techcrunch.com/2026/11/12/phota-labs-uses-ai-to-turn-everyday-photos-into-professional-looking-shots/", "source": "TechCrunch AI", "time": "2026-11-12T17:00:00.000Z", "active": "2026-11-12T17:00:00.000Z", "summary": "Rather than giving consumers yet another photo-editing tool, Phota Labs aims to use advances in AI to automate the editing process so it’s easier for anyone to turn everyday moments into better photos.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.322 }, { "id": "arxiv:2611.14033", "area": "papers", "headline": "Few-Step Streaming Video Generation via Condition Shifting", "url": "https://arxiv.org/abs/2611.14033", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "APEX extends a streaming video generation method by replacing a separate fake-score network with condition shifting to estimate the generated distribution’s velocity field, improving instruction following and visual aesthetics while reducing memory and iteration time relative to DMD.", "facts": [ "Deyuan Liu + 10 authors", "88 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14033" } ], "sources": 1, "picked": false, "topics": [ "memory", "image-video" ], "votes": 0, "weight": 1, "score": 0.309 }, { "id": "arxiv:2611.14421", "area": "papers", "headline": "Earlybird: a streaming speech recogniser trained to finish words before the speaker does", "url": "https://arxiv.org/abs/2611.14421", "source": "Picked", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "", "facts": [ "Sahil Mahendrakar" ], "more": [], "sources": 1, "picked": true, "topics": [ "quantization", "speech", "on-device" ], "votes": 0, "weight": 0.953, "score": 0.308 }, { "id": "arxiv:2611.14320", "area": "papers", "headline": "Don't Just Trust Your Memory: Evidence-Linked Memory Reduces Memory-Induced Degradation in LLM Agents", "url": "https://arxiv.org/abs/2611.14320", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "WikiTrace links each distilled lesson to its source trajectory and rationale, enabling LLM agents to verify and correct memories before acting, improving performance and reducing memory-induced degradation across agentic benchmarks.", "facts": [ "Yukyeong Lee + 3 authors", "67 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14320" }, { "label": "code", "url": "https://github.com/yukyeongleee/wikitrace" } ], "sources": 1, "picked": false, "topics": [ "agents", "memory", "evals" ], "votes": 0, "weight": 0.979, "score": 0.302 }, { "id": "arxiv:2611.14210", "area": "papers", "headline": "Tree-Ising: Repairing Language Models with Bit-Level Ising Edits", "url": "https://arxiv.org/abs/2611.14210", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Tree-Ising repairs reasoning loops in LLM weights by solving sparse Ising/QUBO problems over BF16 parameters, improving math benchmark accuracy with fewer weight edits and no gradient or LLM-token cost.", "facts": [ "Hadi Salloum + 1 authors", "63 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14210" }, { "label": "code", "url": "https://github.com/TheQuantumGOAT/Tree-Ising" } ], "sources": 1, "picked": false, "topics": [ "weight-editing", "evals" ], "votes": 0, "weight": 0.972, "score": 0.3 }, { "id": "url:huggingface.co/blog/qvac/botpsy", "area": "business", "headline": "BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model", "url": "https://huggingface.co/blog/qvac/botpsy", "source": "Hugging Face blog", "time": "2026-11-11T05:01:16.000Z", "active": "2026-11-11T05:01:16.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents", "on-device" ], "votes": 0, "weight": 0.678, "score": 0.295 }, { "id": "gh:unslothai/unsloth", "area": "engines", "headline": "unsloth Dynamic v3.1 GGUFs + Performance Fixes released", "url": "https://github.com/unslothai/unsloth/releases/tag/v0.1.917-beta", "source": "GitHub", "time": "2026-11-11T16:26:54.000Z", "active": "2026-11-11T16:26:54.000Z", "summary": "", "facts": [ "unslothai/unsloth", "3 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.581, "score": 0.294 }, { "id": "url:openai.com/business/customer-stories/gondola", "area": "business", "headline": "Gondola doubles revenue as its team builds more with Codex", "url": "https://openai.com/business/customer-stories/gondola", "source": "OpenAI news", "time": "2026-11-12T12:00:00.000Z", "active": "2026-11-12T12:00:00.000Z", "summary": "Gondola helps creatives get credit and get hired, with Codex raising its lead engineer’s output by 50% and ChatGPT simplifying daily work.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.417, "score": 0.291 }, { "id": "hf:comfy-org/minimax-h3-image", "area": "models", "headline": "Comfy-Org/MiniMax-H3-Image", "url": "https://huggingface.co/Comfy-Org/MiniMax-H3-Image", "source": "Hugging Face", "time": "2026-11-08T20:37:23.000Z", "active": "2026-11-08T20:37:23.000Z", "summary": "", "facts": [ "text-to-image", "licence other", "diffusion-single-file", "299 likes", "835.6k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "image-video" ], "votes": 0, "weight": 0.483, "score": 0.29 }, { "id": "gh:veloresearch/kinetic", "area": "engines", "headline": "Kinetic — an exact-output local inference engine (Velocity)", "url": "https://github.com/Veloresearch/kinetic", "source": "Picked", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "", "facts": [ "Velocity (Jakub Kozica, CEO and founder, author of the technical report)" ], "more": [], "sources": 1, "picked": true, "topics": [ "inference-engines", "speculative-decoding", "evals" ], "votes": 0, "weight": 0.9, "score": 0.29 }, { "id": "hf:ccore/qwen3.5-4b-3d-coder", "area": "models", "headline": "ccore/Qwen3.5-4B-3D-Coder", "url": "https://huggingface.co/ccore/Qwen3.5-4B-3D-Coder", "source": "Hugging Face", "time": "2026-10-25T05:43:34.000Z", "active": "2026-10-25T05:43:34.000Z", "summary": "", "facts": [ "licence apache-2.0", "GGUF", "1.1k likes", "368.2k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.482, "score": 0.289 }, { "id": "x:2119918110752846094", "area": "posts", "headline": "Atomic Agent (@atomicagentio, 10 Nov 2026) — \"Fusion\" mode: Claude Fable 5.2 plans and local Qwen 3.8 27B builds; one pop-up-book task for $2.98 in 11 min against $15.77 in 21 min for Fable alone (5.3x cheaper by the author's cost count, which leaves out the local GPU)", "url": "https://x.com/atomicagent_io/status/2119918110752846094", "source": "X", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "", "facts": [ "Atomic Agent (@atomicagentio), the team behind the open-source local-first agent AtomicBot-ai/atomic-agent" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.893, "score": 0.288 }, { "id": "x:2120200194247565645", "area": "posts", "headline": "Hugging Face — \"Local AI 301: Quantization\"", "url": "https://x.com/huggingface/status/2120200194247565645", "source": "X", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "@huggingface posted the broadcast \"Local AI 301: Quantization\" at 10:31 PM on 10 Nov 2026 (IST). The broadcast page showed \"Ended 9 hours ago\" at capture on 11 Nov.", "facts": [ "Hugging Face" ], "more": [], "sources": 1, "picked": true, "topics": [ "quantization" ], "votes": 0, "weight": 0.876, "score": 0.283 }, { "id": "hf:zyphra/zonos3-mini", "area": "models", "headline": "Zyphra/ZONOS3-Mini", "url": "https://huggingface.co/Zyphra/ZONOS3-Mini", "source": "Hugging Face", "time": "2026-11-09T05:03:57.000Z", "active": "2026-11-09T05:03:57.000Z", "summary": "", "facts": [ "text-to-speech", "licence apache-2.0", "zonos3", "GGUF", "235 likes", "8.5k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization", "speech" ], "votes": 0, "weight": 0.465, "score": 0.279 }, { "id": "hf:mradermacher/gemma-4-31b-it-ara-heretic-gguf", "area": "models", "headline": "mradermacher/gemma-4-31B-it-ARA-heretic-GGUF", "url": "https://huggingface.co/mradermacher/gemma-4-31B-it-ARA-heretic-GGUF", "source": "Hugging Face", "time": "2026-11-07T05:50:30.000Z", "active": "2026-11-07T05:50:30.000Z", "summary": "", "facts": [ "quantised from richardyoung/gemma-4-31B-it-ARA-heretic", "licence apache-2.0", "transformers", "GGUF", "238 likes", "96.3k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.464, "score": 0.279 }, { "id": "url:microsoft.com/en-us/research/blog/lazare-veni-foras-reprogramming-dormant-neurons-to-backdoor-ai-agents", "area": "blogs", "headline": "Lazarus: a closed-form weight edit that turns dormant neurons into trigger-activated payload writers", "url": "https://www.microsoft.com/en-us/research/blog/lazare-veni-foras-reprogramming-dormant-neurons-to-backdoor-ai-agents/", "source": "Picked", "time": "2026-11-10T20:52:56.000Z", "active": "2026-11-10T20:52:56.000Z", "summary": "Microsoft researchers have discovered “Lazarus,” a backdoor technique that can reprogram dormant neurons in an AI model, causing an otherwise normal AI agent to execute malicious commands when a hidden trigger appears. The threat is especially serious for AI agents with tool or terminal access.", "facts": [ "Yuchen Zeng, Giorgio Severi, Blake Bullwinkel, Eric Horvitz, Dimitris Papailiopoulos (Microsoft)" ], "more": [], "sources": 2, "picked": true, "topics": [ "steering", "weight-editing", "interpretability" ], "votes": 0, "weight": 0.7, "score": 0.278 }, { "id": "arxiv:2611.13410", "area": "papers", "headline": "SteerDistill: Quantizing LLM Agents via Closed-Loop Teacher Steering", "url": "https://arxiv.org/abs/2611.13410", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Low-bit quantized LLM agents can recover much of their task success through closed-loop guidance from a full-precision teacher, followed by unassisted student training on corrected and reference turns.", "facts": [ "Genming Cui + 5 authors", "32 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13410" }, { "label": "code", "url": "https://github.com/air-embodied-brain/SteerDistill" } ], "sources": 1, "picked": false, "topics": [ "steering", "quantization", "agents" ], "votes": 0, "weight": 0.889, "score": 0.274 }, { "id": "hf:conwayresearch/underdog-woof", "area": "models", "headline": "ConwayResearch/Underdog-Woof", "url": "https://huggingface.co/ConwayResearch/Underdog-Woof", "source": "Hugging Face", "time": "2026-11-05T19:07:08.000Z", "active": "2026-11-05T19:07:08.000Z", "summary": "", "facts": [ "text-to-speech", "licence other", "numpy", "211 likes", "10 downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "speech" ], "votes": 0, "weight": 0.456, "score": 0.273 }, { "id": "hf:scantist/glm-5.3-slim-gguf", "area": "models", "headline": "Scantist/GLM-5.3-SLIM-GGUF", "url": "https://huggingface.co/Scantist/GLM-5.3-SLIM-GGUF", "source": "Hugging Face", "time": "2026-11-02T13:11:14.000Z", "active": "2026-11-02T13:11:14.000Z", "summary": "", "facts": [ "quantised from zai-org/GLM-5.3", "text-generation", "licence other", "GGUF", "1.4k likes", "15.7k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.454, "score": 0.272 }, { "id": "hf:comfy-org/relayvsr", "area": "models", "headline": "Comfy-Org/RelayVSR", "url": "https://huggingface.co/Comfy-Org/RelayVSR", "source": "Hugging Face", "time": "2026-11-05T11:54:26.000Z", "active": "2026-11-05T11:54:26.000Z", "summary": "", "facts": [ "unconditional-image-generation", "licence apache-2.0", "diffusion-single-file", "193 likes", "107.5k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "image-video" ], "votes": 0, "weight": 0.452, "score": 0.271 }, { "id": "x:2120172863734849903", "area": "posts", "headline": "Finding the Reward Hacking Vector in Weight Space (Kunhao Zheng, X article)", "url": "https://x.com/kunhaoz/status/2120172863734849903", "source": "X", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "", "facts": [ "Kunhao Zheng" ], "more": [], "sources": 1, "picked": true, "topics": [ "steering", "weight-editing" ], "votes": 0, "weight": 0.84, "score": 0.271 }, { "id": "hf:ccore/qwen3.5-4b-glb-3d-coder", "area": "models", "headline": "ccore/Qwen3.5-4B-GLB-3D-Coder", "url": "https://huggingface.co/ccore/Qwen3.5-4B-GLB-3D-Coder", "source": "Hugging Face", "time": "2026-11-01T22:30:01.000Z", "active": "2026-11-01T22:30:01.000Z", "summary": "", "facts": [ "text-generation", "licence apache-2.0", "GGUF", "343 likes", "49.2k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.444, "score": 0.267 }, { "id": "hf:nousresearch/arete-27b", "area": "models", "headline": "NousResearch/Arete-27B", "url": "https://huggingface.co/NousResearch/Arete-27B", "source": "Hugging Face", "time": "2026-11-06T19:31:28.000Z", "active": "2026-11-06T19:31:28.000Z", "summary": "", "facts": [ "text-generation", "licence apache-2.0", "491 likes", "4.7k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.443, "score": 0.266 }, { "id": "hf:conceptcountry/qwen-concept-27b", "area": "models", "headline": "ConceptCountry/qwen-concept-27b", "url": "https://huggingface.co/ConceptCountry/qwen-concept-27b", "source": "Hugging Face", "time": "2026-11-08T16:39:43.000Z", "active": "2026-11-08T16:39:43.000Z", "summary": "", "facts": [ "quantised from Qwen/Qwen3.8-27B", "licence apache-2.0", "GGUF", "175 likes", "62.5k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.443, "score": 0.266 }, { "id": "url:wired.com/story/nvidia-employees-petition-for-jensen-huangs-return", "area": "discussion", "headline": "Nvidia employees petition to bring back Jensen Huang", "url": "https://www.wired.com/story/nvidia-employees-petition-for-jensen-huangs-return/", "source": "Hacker News", "time": "2026-11-13T02:16:24.000Z", "active": "2026-11-13T02:16:24.000Z", "summary": "", "facts": [ "124 points and 87 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (124 points)", "url": "https://news.ycombinator.com/item?id=50477231" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.273, "score": 0.264 }, { "id": "hf:speridlabs/idol", "area": "models", "headline": "speridlabs/idol", "url": "https://huggingface.co/speridlabs/idol", "source": "Hugging Face", "time": "2026-10-28T15:55:17.000Z", "active": "2026-10-28T15:55:17.000Z", "summary": "", "facts": [ "image-to-3d", "licence apache-2.0", "idol", "2.2k likes", "29.9k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.438, "score": 0.263 }, { "id": "hf:pika-labs/pika-h3-flex", "area": "models", "headline": "Pika-Labs/Pika-H3-Flex", "url": "https://huggingface.co/Pika-Labs/Pika-H3-Flex", "source": "Hugging Face", "time": "2026-10-29T17:08:44.000Z", "active": "2026-10-29T17:08:44.000Z", "summary": "", "facts": [ "image-to-video", "licence other", "pika-h3-flex", "614 likes", "143.8k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [ "image-video" ], "votes": 0, "weight": 0.433, "score": 0.26 }, { "id": "url:blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-hydrogen", "area": "discussion", "headline": "Gemini 4 Hydrogen", "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-hydrogen/", "source": "Hacker News", "time": "2026-11-12T18:01:48.000Z", "active": "2026-11-12T18:01:48.000Z", "summary": "", "facts": [ "480 points and 303 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (480 points)", "url": "https://news.ycombinator.com/item?id=50471431" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.325, "score": 0.256 }, { "id": "gh:huggingface/diffusers", "area": "engines", "headline": "Diffusers 0.43.0: MiniMax-H3-Image, Pika H3 Flex, P-H3-Image, Kandinsky S2V, and PAN 2 released", "url": "https://github.com/huggingface/diffusers/releases/tag/v0.43.0", "source": "GitHub", "time": "2026-11-12T06:38:33.000Z", "active": "2026-11-12T06:38:33.000Z", "summary": "", "facts": [ "huggingface/diffusers", "1 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.399, "score": 0.252 }, { "id": "url:unemploymentlabs.com/checkpoint-forensics", "area": "discussion", "headline": "Chinese frontier AI models carry the fingerprint of export-controlled GPUs", "url": "https://unemploymentlabs.com/checkpoint-forensics", "source": "Hacker News", "time": "2026-11-12T21:56:11.000Z", "active": "2026-11-12T21:56:11.000Z", "summary": "", "facts": [ "193 points and 54 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (193 points)", "url": "https://news.ycombinator.com/item?id=50474883" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.291, "score": 0.251 }, { "id": "url:antigravity.google/blog/gemini-4-hydrogen-in-google-antigravity", "area": "discussion", "headline": "Gemini 4 Hydrogen and Orchestrator", "url": "https://antigravity.google/blog/gemini-4-hydrogen-in-google-antigravity/", "source": "Hacker News", "time": "2026-11-12T18:52:01.000Z", "active": "2026-11-12T18:52:01.000Z", "summary": "", "facts": [ "333 points and 85 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (333 points)", "url": "https://news.ycombinator.com/item?id=50472260" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.311, "score": 0.25 }, { "id": "arxiv:2611.12885", "area": "papers", "headline": "World In-Context Learning for Agentic Robot Manipulation", "url": "https://arxiv.org/abs/2611.12885", "source": "arXiv", "time": "2026-11-08T19:00:00.000Z", "active": "2026-11-08T19:00:00.000Z", "summary": "Trained action policies write manipulation skill into network weights, tying what is learned to the distribution it is learned from.", "facts": [ "Heng Fang + 5 authors", "58 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12885" }, { "label": "code", "url": "https://github.com/ArcheOne-AI/RoboScript" } ], "sources": 1, "picked": false, "topics": [ "agents", "robotics" ], "votes": 0, "weight": 0.962, "score": 0.246 }, { "id": "hf:ricursiveai/ripple-65b-preview", "area": "models", "headline": "ricursiveAI/Ripple-65B-Preview", "url": "https://huggingface.co/ricursiveAI/Ripple-65B-Preview", "source": "Hugging Face", "time": "2026-11-04T02:41:21.000Z", "active": "2026-11-04T02:41:21.000Z", "summary": "", "facts": [ "licence apache-2.0", "537 likes", "7.7k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.409, "score": 0.246 }, { "id": "hf:moonshotai/kimi-k3.1-pro", "area": "models", "headline": "moonshotai/Kimi-K3.1-Pro", "url": "https://huggingface.co/moonshotai/Kimi-K3.1-Pro", "source": "Hugging Face", "time": "2026-11-02T04:13:51.000Z", "active": "2026-11-02T04:13:51.000Z", "summary": "", "facts": [ "image-text-to-text", "licence other", "transformers", "2.0k likes", "37.5k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.404, "score": 0.242 }, { "id": "url:aws.amazon.com/blogs/machine-learning/deploy-frontier-ai-models-on-aws-trainium-with-sglang-neuron", "area": "blogs", "headline": "Deploy frontier AI models on AWS Trainium with SGLang-Neuron", "url": "https://aws.amazon.com/blogs/machine-learning/deploy-frontier-ai-models-on-aws-trainium-with-sglang-neuron/", "source": "AWS Machine Learning", "time": "2026-11-12T22:03:34.000Z", "active": "2026-11-12T22:03:34.000Z", "summary": "SGLang-Neuron is now publicly available through an AWS Deep Learning Container. With SGLang-Neuron, you can serve models and generate reinforcement learning rollouts with SGLang on AWS Trainium using the same SGLang interface you already know, all running on native PyTorch.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.278, "score": 0.241 }, { "id": "hf:cactus-compute/mirage", "area": "models", "headline": "Cactus-Compute/mirage", "url": "https://huggingface.co/Cactus-Compute/mirage", "source": "Hugging Face", "time": "2026-11-05T19:01:53.000Z", "active": "2026-11-05T19:01:53.000Z", "summary": "", "facts": [ "image-text-to-text", "licence apache-2.0", "cactus-compute", "206 likes", "16.1k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.398, "score": 0.239 }, { "id": "url:aws.amazon.com/blogs/machine-learning/how-natera-designed-an-agentic-ai-system-for-lab-ops-with-amazon-bedrock-agentcore", "area": "blogs", "headline": "How Natera designed an agentic AI system for lab ops with Amazon Bedrock AgentCore", "url": "https://aws.amazon.com/blogs/machine-learning/how-natera-designed-an-agentic-ai-system-for-lab-ops-with-amazon-bedrock-agentcore/", "source": "AWS Machine Learning", "time": "2026-11-12T21:47:07.000Z", "active": "2026-11-12T21:47:07.000Z", "summary": "Natera built SWARM, an agentic AI system on Amazon Bedrock AgentCore that captures institutional lab-operations knowledge and deploys it at scale.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.278, "score": 0.239 }, { "id": "gh:atomicbot-ai/atomic-agent", "area": "engines", "headline": "AtomicBot-ai/atomic-agent, Fusion mode (MIT, 3,361 stars, TypeScript): a cloud orchestrator delegates bounded task waves to local workers, with models by role (plan, build, review, explore, utility), contracts, a judge, escalation, replanning, branch isolation and turn budgets", "url": "https://github.com/AtomicBot-ai/atomic-agent", "source": "Picked", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "AtomicBot-ai (Atomic Agent)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.9, "score": 0.239 }, { "id": "gh:librepaper/librepaper", "area": "engines", "headline": "LibrePaper (LibrePaper/librepaper, MIT, Rust, 102 stars, created 2 Sep 2026) — a free, self-hostable Overleaf alternative: live multi-person editing and comments for LaTeX, Typst, Markdown, HTML and Quarto, compiled in the browser by WebAssembly engines; Git sync by a CLI and a GitHub Action, agent tokens", "url": "https://github.com/LibrePaper/librepaper", "source": "Picked", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "Vincent Arel-Bundock (@VincentAB), a professor in Montreal who writes R packages (marginaleffects, modelsummary), per his profile line" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.9, "score": 0.239 }, { "id": "url:microsoft.com/en-us/research/podcast/microsoft-research-focus-edition-98", "area": "blogs", "headline": "Microsoft Research Focus – Edition #98", "url": "https://www.microsoft.com/en-us/research/podcast/microsoft-research-focus-edition-98/", "source": "Microsoft Research", "time": "2026-11-12T21:31:57.000Z", "active": "2026-11-12T21:31:57.000Z", "summary": "What's new in research at Microsoft? Host Anson Ho explores the latest, including AI-powered universal translation, a breakthrough in a 31-year-old mathematics challenge, and advances making AI coding agents faster and more efficient.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.278, "score": 0.238 }, { "id": "x:2119837671946400165", "area": "posts", "headline": "FlashState (Weili Xu, @weilix, 9 Nov 2026) — a serving system that saves a hybrid model's linear-attention state exactly where an agent turn ends instead of at KV block boundaries; author-reported 1.54x to 3.14x prefill throughput and 77 to 88% lower p90 time to first token against vLLM at 48 concurrent sessions on B200; no paper or code found", "url": "https://x.com/_weilix/status/2119837671946400165", "source": "X", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "Weili Xu (@weilix), \"Building agentic and tiled stuff\"; previously University of Illinois, Together Compute, ZJU by the profile" ], "more": [], "sources": 1, "picked": true, "topics": [ "inference-engines", "agents", "evals" ], "votes": 0, "weight": 0.893, "score": 0.237 }, { "id": "x:2119795027962675226", "area": "posts", "headline": "younes (@yb2698), \"Harness adapters training has now finished\" (9 Nov 2026) — nine RL-trained LoRA adapters for pi, hermes and opencode on LFM3-1.7B, TwIL-8B and LFM2.5-24B; the cards show LFM3-1.7B gaining 10.7 to 16.0 points on data-analysis tasks with 37 to 43% fewer tool calls, the larger models gaining efficiency only, and no adapter helping on the hard repository tasks", "url": "https://x.com/yb2698/status/2119795027962675226", "source": "X", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "younes (@yb2698, Hugging Face harness-hub)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents", "training" ], "votes": 0, "weight": 0.893, "score": 0.237 }, { "id": "arxiv:2611.11166", "area": "papers", "headline": "DexForesight: Grounding Dexterous Policies with Implicit Spatial Foresight", "url": "https://arxiv.org/abs/2611.11166", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Dexterous manipulation requires rich spatial foresight over both the surrounding scene and the robot hand. Existing world-action models often acquire such predictive knowledge through explicit future prediction.", "facts": [ "Zhongxi Chen + 8 authors", "25 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.11166" } ], "sources": 1, "picked": false, "topics": [ "robotics" ], "votes": 0, "weight": 0.76, "score": 0.235 }, { "id": "x:2119851548813804026", "area": "posts", "headline": "Tensor-Slayer (@TensorSlay, 9 Nov 2026) — editing 768 numbers (one bias vector in the text encoder) of the one-step image model SDXS-512 Dreamshaper, no training, shifts the default look toward candid, muted, depth-separated photos; full recipe given in a reply", "url": "https://x.com/TensorSlay/status/2119851548813804026", "source": "X", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "Tensor-Slayer (@TensorSlay), the author of the Noise PR #53 slayer merge ([[2026-10-29-tensorslay-slayer-merge-noise-pr-53]])" ], "more": [], "sources": 1, "picked": true, "topics": [ "steering", "weight-editing", "image-video" ], "votes": 0, "weight": 0.882, "score": 0.234 }, { "id": "x:2119841534141227467", "area": "posts", "headline": "Daniel Isaac (@danpacary, 9 Nov 2026) — putting only the output head (lmhead) of Qwen3-30B-A3B in FP4, with no training, on top of RedHat's NVFP4 checkpoint: 17.8% less GPU energy per correct answer (77.7 → 63.9 J) on a DGX Spark, accuracy 88.15% → 89.05% over 1,000 items", "url": "https://x.com/danpacary/status/2119841534141227467", "source": "X", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "Daniel Isaac (@danpacary), a solo builder working on energy-efficient local and edge models by his profile line" ], "more": [], "sources": 1, "picked": true, "topics": [ "quantization", "on-device" ], "votes": 0, "weight": 0.876, "score": 0.233 }, { "id": "url:edge0.ai/blog/introducing-edge0-145b-frontier-ai-capabilities-on-your-own-computer", "area": "discussion", "headline": "Edge0-145B: Frontier AI Capabilities on Your Own Computer", "url": "https://edge0.ai/blog/introducing-edge0-145b-frontier-ai-capabilities-on-your-own-computer", "source": "Hacker News", "time": "2026-11-12T23:06:17.000Z", "active": "2026-11-12T23:06:17.000Z", "summary": "", "facts": [ "92 points and 19 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (92 points)", "url": "https://news.ycombinator.com/item?id=50475713" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.262, "score": 0.232 }, { "id": "hf:liquidai/lfm3-1.7b", "area": "models", "headline": "LiquidAI/LFM3-1.7B", "url": "https://huggingface.co/LiquidAI/LFM3-1.7B", "source": "Hugging Face", "time": "2026-10-23T21:35:42.000Z", "active": "2026-10-23T21:35:42.000Z", "summary": "", "facts": [ "text-generation", "licence other", "transformers", "1.7k likes", "89.9k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.385, "score": 0.231 }, { "id": "hf:meituan-longcat/longcat-2.5", "area": "models", "headline": "meituan-longcat/LongCat-2.5", "url": "https://huggingface.co/meituan-longcat/LongCat-2.5", "source": "Hugging Face", "time": "2026-11-04T11:48:50.000Z", "active": "2026-11-04T11:48:50.000Z", "summary": "", "facts": [ "image-text-to-text", "licence mit", "187 likes", "710 downloads" ], "more": [ { "label": "paper", "url": "https://arxiv.org/abs/2603.27538" }, { "label": "paper", "url": "https://arxiv.org/abs/1909.07606" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.385, "score": 0.231 }, { "id": "arxiv:2611.13576", "area": "papers", "headline": "PhyRubric: Rubric-Grounded Diagnostic Evaluation of Physical Commonsense in Text-to-Video Generation", "url": "https://arxiv.org/abs/2611.13576", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "A rubric-based diagnostic benchmark and judge assess physical commonsense in text-to-video generation, showing that current models still struggle and that the judge aligns closely with human judgments.", "facts": [ "Huiyi Chen + 7 authors", "10 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13576" }, { "label": "code", "url": "https://github.com/chenyil6/phyRubric" } ], "sources": 1, "picked": false, "topics": [ "image-video", "evals" ], "votes": 0, "weight": 0.744, "score": 0.23 }, { "id": "hf:adventists-ai/sophon-realtime-v1", "area": "models", "headline": "adventists-ai/Sophon-Realtime-v1", "url": "https://huggingface.co/adventists-ai/Sophon-Realtime-v1", "source": "Hugging Face", "time": "2026-11-07T03:06:25.000Z", "active": "2026-11-07T03:06:25.000Z", "summary": "", "facts": [ "any-to-any", "licence apache-2.0", "177 likes", "0 downloads" ], "more": [ { "label": "paper", "url": "https://arxiv.org/abs/2609.21967" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.383, "score": 0.23 }, { "id": "url:synthanatomy.com/2026/11/ai-is-turning-apples-app-review-process-into-a-nightmare-for-developers.html", "area": "discussion", "headline": "AI is turning Apple's app review process into a nightmare for synth developers", "url": "https://synthanatomy.com/2026/11/ai-is-turning-apples-app-review-process-into-a-nightmare-for-developers.html", "source": "Hacker News", "time": "2026-11-12T21:09:49.000Z", "active": "2026-11-12T21:09:49.000Z", "summary": "", "facts": [ "118 points and 114 comments on Hacker News" ], "more": [ { "label": "Hacker News thread (118 points)", "url": "https://news.ycombinator.com/item?id=50474311" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.271, "score": 0.23 }, { "id": "arxiv:2611.12527", "area": "papers", "headline": "WaveGen: Truly End-to-End Waveform Generation via Internal Spectral Trajectory Learning", "url": "https://arxiv.org/abs/2611.12527", "source": "arXiv", "time": "2026-11-09T10:02:29.000Z", "active": "2026-11-09T10:02:29.000Z", "summary": "WaveGen is a fully end-to-end diffusion framework for text-to-waveform generation that jointly learns spectral and waveform trajectories via Spectral Forcing without external audio codecs, vocoders, latent models, alignment modules, or self-supervised representations, achieving state-of-the-art…", "facts": [ "Sang-Hoon Lee + 1 authors", "17 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12527" }, { "label": "code", "url": "https://github.com/sh-lee-prml/WaveGen" } ], "sources": 1, "picked": false, "topics": [ "speech", "image-video", "safety" ], "votes": 0, "weight": 0.797, "score": 0.229 }, { "id": "arxiv:2611.14309", "area": "papers", "headline": "MMDM: Measuring Massive Multitask Decision Making", "url": "https://arxiv.org/abs/2611.14309", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "System-1 Decision Models directly make structured probabilistic decisions over query-specified options given a state in a single forward pass, without autoregressively generating reasoning trajectories or textual responses.", "facts": [ "Junhao Shen + 5 authors", "27 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14309" }, { "label": "code", "url": "https://github.com/mmdm-benchmark/mmdm" } ], "sources": 1, "picked": false, "topics": [ "decision-models" ], "votes": 0, "weight": 0.742, "score": 0.229 }, { "id": "url:openai.com/business/customer-stories/amplitude", "area": "blogs", "headline": "How Amplitude ships product improvements in 1–2 days with OpenAI", "url": "https://openai.com/business/customer-stories/amplitude", "source": "OpenAI news", "time": "2026-11-12T20:00:00.000Z", "active": "2026-11-12T20:00:00.000Z", "summary": "Built primarily on OpenAI models, Amplitude’s proactive product agent, Wave, identifies what to build, helps teams ship changes with coding agents, and measures the impact.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.278, "score": 0.229 }, { "id": "arxiv:2611.12426", "area": "papers", "headline": "dNaViT: Discrete Codes are General-Purpose Visual Representations", "url": "https://arxiv.org/abs/2611.12426", "source": "arXiv", "time": "2026-11-08T19:00:00.000Z", "active": "2026-11-08T19:00:00.000Z", "summary": "A discrete native-resolution vision transformer with grouped product quantization and a dual-branch objective acts as a versatile visual tokenizer, matching or exceeding task-specific baselines across visual understanding, generation, and editing tasks.", "facts": [ "Xiaotong Li + 11 authors", "35 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12426" } ], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.881, "score": 0.226 }, { "id": "hf:thinkingmachines/inkling-2-small", "area": "models", "headline": "thinkingmachines/Inkling-2-Small", "url": "https://huggingface.co/thinkingmachines/Inkling-2-Small", "source": "Hugging Face", "time": "2026-11-04T19:51:05.000Z", "active": "2026-11-04T19:51:05.000Z", "summary": "", "facts": [ "image-text-to-text", "licence apache-2.0", "transformers", "115 likes", "12 downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.371, "score": 0.223 }, { "id": "arxiv:2611.12177", "area": "papers", "headline": "Embodied First Exam", "url": "https://arxiv.org/abs/2611.12177", "source": "arXiv", "time": "2026-11-08T19:00:00.000Z", "active": "2026-11-08T19:00:00.000Z", "summary": "Early successes on agentic robotics point to a potential paradigm shift toward using coding agents to control robots. Existing robotics benchmarks are built around visuomotor policy learning, leaving it open whether coding agents can reliably control diverse robots under physical-world constraints.", "facts": [ "Kangrui Wang + 29 authors", "27 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12177" }, { "label": "code", "url": "https://github.com/mll-lab-nu/embodied-first-exam" } ], "sources": 1, "picked": false, "topics": [ "agents", "robotics", "evals" ], "votes": 0, "weight": 0.868, "score": 0.222 }, { "id": "hf:fusioncow/sulphur-3", "area": "models", "headline": "FusionCow/Sulphur-3", "url": "https://huggingface.co/FusionCow/Sulphur-3", "source": "Hugging Face", "time": "2026-10-31T20:31:01.000Z", "active": "2026-10-31T20:31:01.000Z", "summary": "", "facts": [ "no licence stated", "minimax-h3", "548 likes", "1.1k downloads" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.37, "score": 0.222 }, { "id": "arxiv:2611.11342", "area": "papers", "headline": "Does a harness learn from an agent's failures, or from the search around them? A matched-control test on a frozen 9B agent", "url": "https://arxiv.org/abs/2611.11342", "source": "Picked", "time": "2026-11-08T00:00:00.000Z", "active": "2026-11-08T00:00:00.000Z", "summary": "", "facts": [ "Arkid Mitra" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents", "evals" ], "votes": 0, "weight": 0.972, "score": 0.219 }, { "id": "hf:krafton/raon-1-nano", "area": "models", "headline": "KRAFTON/Raon-1-nano", "url": "https://huggingface.co/KRAFTON/Raon-1-nano", "source": "Hugging Face", "time": "2026-10-29T05:38:14.000Z", "active": "2026-10-29T05:38:14.000Z", "summary": "", "facts": [ "text-generation", "licence apache-2.0", "transformers", "80 likes", "446 downloads" ], "more": [ { "label": "paper", "url": "https://arxiv.org/abs/2605.28207" } ], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.35, "score": 0.21 }, { "id": "gh:pytorch/pytorch", "area": "engines", "headline": "pytorch: 10 builds in 7 days, latest trunk/97730ab49ff79c5a8d60497192a5d226152e1b19", "url": "https://github.com/pytorch/pytorch/releases", "source": "GitHub", "time": "2026-11-13T03:19:27.000Z", "active": "2026-11-13T03:19:27.000Z", "summary": "", "facts": [ "pytorch/pytorch", "10 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.21, "score": 0.208 }, { "id": "arxiv:2611.14488", "area": "papers", "headline": "Is Your Robot's Memory Just a Clock? Temporal Shortcuts in Memory-Augmented VLA Policies", "url": "https://arxiv.org/abs/2611.14488", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Memory in vision-language-action policies can mistake pauses for progress because it is indexed by time, causing early stopping, while event-based indexing mitigates this without retraining.", "facts": [ "Chubin Zhang + 1 authors", "7 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14488" }, { "label": "code", "url": "https://github.com/bennidict23/memory-clock" } ], "sources": 1, "picked": false, "topics": [ "memory", "robotics" ], "votes": 0, "weight": 0.66, "score": 0.204 }, { "id": "arxiv:2611.14115", "area": "papers", "headline": "LEASH: Stay Safe in Agentic Robotics", "url": "https://arxiv.org/abs/2611.14115", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Foundation models such as GPT and Claude have shown strong capabilities in spatial understanding and embodied intelligence. These advances make agentic robotics a promising path toward artificial general intelligence in robotics.", "facts": [ "Qinfeng Zhu + 7 authors", "5 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14115" }, { "label": "code", "url": "https://github.com/zhuqinfeng1999/LEASH" } ], "sources": 1, "picked": false, "topics": [ "agents", "robotics" ], "votes": 0, "weight": 0.658, "score": 0.203 }, { "id": "arxiv:2611.13001", "area": "papers", "headline": "One Table, Many Queries: Benchmarking Generalist Tabular Models Across Generation, Imputation, and Prediction", "url": "https://arxiv.org/abs/2611.13001", "source": "arXiv", "time": "2026-11-07T19:00:00.000Z", "active": "2026-11-07T19:00:00.000Z", "summary": "A large aligned benchmark reveals that tabular generation, imputation, and prediction share useful conditional information but show distinct fidelity rankings and objective interactions, motivating unified models that improve categorical reconstruction and joint sampling.", "facts": [ "Yuanrui Wang + 6 authors", "40 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13001" }, { "label": "code", "url": "https://github.com/limix-ldm-ai/OTBench" } ], "sources": 1, "picked": false, "topics": [ "evals" ], "votes": 0, "weight": 0.917, "score": 0.2 }, { "id": "arxiv:2611.13028", "area": "papers", "headline": "GTAGym: Real AAA Game Tasks Environment for Evaluation and Reinforcement Learning", "url": "https://arxiv.org/abs/2611.13028", "source": "arXiv", "time": "2026-11-08T19:00:00.000Z", "active": "2026-11-08T19:00:00.000Z", "summary": "AAA games offer a rich testbed for evaluating agent perception, reasoning, and control. However, evaluating whether agents can complete tasks in AAA games is challenging and often human-annotated because task outcomes are often difficult to verify automatically, let alone applying it for…", "facts": [ "Jiajun Chen + 4 authors", "13 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13028" }, { "label": "code", "url": "https://github.com/ljbro/GTAGym" } ], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.777, "score": 0.199 }, { "id": "x:2119177793317765359", "area": "posts", "headline": "Ali Hatamizadeh — notes on the Inkling 2 Small release (2026-11-08): the pretraining and RL budget worked out in tokens, FLOPs and wall-clock, and what the report leaves unstated", "url": "https://x.com/ahatamiz1/status/2119177793317765359", "source": "X", "time": "2026-11-08T00:00:00.000Z", "active": "2026-11-08T00:00:00.000Z", "summary": "Pretraining ≈ 12.2T tokens (8.4T + 3.8T, plus the trajectory phases) at 17B active parameters ≈ 1.3 × 10²⁴ FLOPs; RL runs over 4 × 10²³ FLOPs, about 30% of pretraining and about 24% of the total.", "facts": [ "Ali Hatamizadeh (@ahatamiz1)" ], "more": [], "sources": 1, "picked": true, "topics": [ "training" ], "votes": 0, "weight": 0.872, "score": 0.197 }, { "id": "arxiv:2611.13766", "area": "papers", "headline": "FAME-QP: A GPU-Accelerated Quadratic-Programming Solver for Real-Time Model Predictive Control", "url": "https://arxiv.org/abs/2611.13766", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "We present FAME-QP, a GPU-accelerated solver for dense quadratic programs arising in linear model predictive control. FAME-QP combines constraint-dependent operator representations with fused single- and two-kernel iterations replayed through CUDA graphs, automatically selecting the execution…", "facts": [ "Santosh Mohan Rajkumar + 2 authors", "4 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13766" }, { "label": "code", "url": "https://github.com/santoshrajkumar/fame-qp" } ], "sources": 1, "picked": false, "topics": [ "inference-engines" ], "votes": 0, "weight": 0.632, "score": 0.195 }, { "id": "arxiv:2611.13885", "area": "papers", "headline": "Are Causal Neuron Circuits Unique and Transferable?", "url": "https://arxiv.org/abs/2611.13885", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Interpretability demonstrations often show that intervening on a group of neurons changes a model's answer. A recent example removes an 18-neuron group in Qwen3-32B and the model answers \"Simba\" instead of \"Scar\" to a two-hop Lion King riddle.", "facts": [ "Ömer Tekin Yavuz", "6 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13885" }, { "label": "code", "url": "https://github.com/omtekyav/causal-neuron-circuits" } ], "sources": 1, "picked": false, "topics": [ "interpretability" ], "votes": 0, "weight": 0.628, "score": 0.194 }, { "id": "x:2119569510810177766", "area": "posts", "headline": "Yegor Sak (@yegor, 9 Nov 2026) — COO, a browser \"bird GTA\" over a comic-book Toronto: 630 km², 438,819 real buildings, no external assets, about 165,000 lines of JavaScript, built in 7 days with up to 10 parallel AI workstreams", "url": "https://x.com/yegor/status/2119569510810177766", "source": "X", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "Yegor Sak (@yegor), co-founder of Windscribe and Control D by his profile line" ], "more": [], "sources": 1, "picked": true, "topics": [], "votes": 0, "weight": 0.73, "score": 0.194 }, { "id": "arxiv:2611.12304", "area": "papers", "headline": "Evolving Infra: Agent-Adaptive LLM Serving at Scale", "url": "https://arxiv.org/abs/2611.12304", "source": "arXiv", "time": "2026-11-08T19:00:00.000Z", "active": "2026-11-08T19:00:00.000Z", "summary": "Agentic workloads are a major source of LLM inference demand. Existing prefill--decode (PD) disaggregated serving systems offer limited flexibility for runtime adaptation of compute allocation and KV cache management, and rely on coarse signals that only partly capture the diverse and dynamic agent…", "facts": [ "Hao Kang + 10 authors", "11 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12304" }, { "label": "code", "url": "https://github.com/mit-han-lab/EvolvingInfra" } ], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.756, "score": 0.193 }, { "id": "arxiv:2611.14418", "area": "papers", "headline": "Precision on Demand: Escalating Weight Bits at Uncertain Decoding Steps in a Small Local Model", "url": "https://arxiv.org/abs/2611.14418", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "A dynamic weight precision allocation strategy is proposed, utilizing low-bit quantization and uncertainty-based gating to selectively upgrade weight precision during LLM generation, thereby optimizing computational cost.", "facts": [ "Mohammed Nayeem Khan + 2 authors", "4 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14418" } ], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.609, "score": 0.188 }, { "id": "arxiv:2611.13907", "area": "papers", "headline": "EVAThink: Evidence Sufficiency-Guided Training for Adaptive Thinking in Video Understanding", "url": "https://arxiv.org/abs/2611.13907", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "EVAThink trains vision-language models to adaptively choose between direct answering and reasoning based on whether sampled video frames provide sufficient evidence, improving video understanding under fixed frame budgets.", "facts": [ "Changti Wu + 4 authors", "3 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13907" }, { "label": "code", "url": "https://github.com/ChangtiWu/EVAThink" } ], "sources": 1, "picked": false, "topics": [ "image-video" ], "votes": 0, "weight": 0.583, "score": 0.18 }, { "id": "arxiv:2611.12411", "area": "papers", "headline": "PhysOPSD: Code as Privilege for Physically Plausible Video Generation", "url": "https://arxiv.org/abs/2611.12411", "source": "arXiv", "time": "2026-11-08T19:00:00.000Z", "active": "2026-11-08T19:00:00.000Z", "summary": "PhysOPSD uses executable code as privileged physical context to improve the physical plausibility of video generative models through on-policy self-distillation with dual-level privilege and controlled variations.", "facts": [ "Harold Haodong Chen + 5 authors", "8 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12411" }, { "label": "code", "url": "https://github.com/aigc3d/PhysOPSD" } ], "sources": 1, "picked": false, "topics": [ "image-video", "training" ], "votes": 0, "weight": 0.702, "score": 0.18 }, { "id": "arxiv:2611.12869", "area": "papers", "headline": "Where Does Alignment Emerge and What Does It Mean? A Closer Look at the Platonic Representation Hypothesis", "url": "https://arxiv.org/abs/2611.12869", "source": "arXiv", "time": "2026-11-09T13:53:57.000Z", "active": "2026-11-09T13:53:57.000Z", "summary": "Cross-modal representational alignment between unimodal language and vision models increases with model capability when captions are clean and informative, but remains below same-modality alignment and can exceed explicitly aligned vision-language models.", "facts": [ "Julia Herbst + 3 authors", "7 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12869" }, { "label": "code", "url": "https://github.com/ExplainableML/prh-closer-look" } ], "sources": 1, "picked": false, "topics": [ "safety" ], "votes": 0, "weight": 0.602, "score": 0.178 }, { "id": "arxiv:2611.14083", "area": "papers", "headline": "Sable: A Small-Field Sumcheck Argument for Bit-Exact Inference of Large Language Models", "url": "https://arxiv.org/abs/2611.14083", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "We present Sable, an argument system and single-GPU prover for the statement that a committed, integer-quantized transformer produced a given token sequence from a given prompt, bit for bit.", "facts": [ "Tomer Solberg", "3 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14083" }, { "label": "code", "url": "https://github.com/moonmath-ai/Sable" } ], "sources": 1, "picked": false, "topics": [ "quantization" ], "votes": 0, "weight": 0.575, "score": 0.178 }, { "id": "gh:berriai/litellm", "area": "engines", "headline": "litellm: 10 builds in 7 days, latest 1.108.7 (LTS)", "url": "https://github.com/BerriAI/litellm/releases", "source": "GitHub", "time": "2026-11-12T20:40:45.000Z", "active": "2026-11-12T20:40:45.000Z", "summary": "", "facts": [ "BerriAI/litellm", "10 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.21, "score": 0.176 }, { "id": "gh:dphnai/nf12", "area": "engines", "headline": "dphnAI/nf12 (AlpinDale, Apache-2.0) — lossless fixed-length 12-bit BF16 weights for NVIDIA GPUs, with fused decode-in-GEMM kernels for dense, MoE and embedding layers; 1.25× Qwen3-8B serving and −25% weight memory on an RTX PRO 6000", "url": "https://github.com/dphnAI/nf12", "source": "Picked", "time": "2026-11-07T00:00:00.000Z", "active": "2026-11-07T00:00:00.000Z", "summary": "", "facts": [ "Alpin Dale (AlpinDale, dphnAI)" ], "more": [], "sources": 1, "picked": true, "topics": [ "quantization", "inference-engines", "memory" ], "votes": 0, "weight": 0.9, "score": 0.176 }, { "id": "arxiv:2611.11306", "area": "papers", "headline": "ScrapeBench: Evaluating Legal Compliance of AI Agents in Website Scraping", "url": "https://arxiv.org/abs/2611.11306", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "AI agents deployed on the open web are becoming more capable of performing actions that may breach contractual provisions and violate computer security laws.", "facts": [ "Joseph Marvin Imperial + 2 authors", "2 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.11306" }, { "label": "code", "url": "https://github.com/imperialite/scrapebench" } ], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.554, "score": 0.171 }, { "id": "arxiv:2611.13843", "area": "papers", "headline": "PolyRoute: A Twelve-Language and Code-Mixed Benchmark for Typed-Decision Routing, with Baselines and a Leaderboard", "url": "https://arxiv.org/abs/2611.13843", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Typed-decision encoders answer a question about a text in one forward pass, but their behaviour outside English is rarely measured on a fixed yardstick.", "facts": [ "Mohammed Nayeem Khan + 1 authors", "2 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13843" } ], "sources": 1, "picked": false, "topics": [ "evals" ], "votes": 0, "weight": 0.554, "score": 0.171 }, { "id": "arxiv:2611.12865", "area": "papers", "headline": "Shortcuts and Boundaries: Verifiable RL Misalignment and Contextual Safety Learning", "url": "https://arxiv.org/abs/2611.12865", "source": "arXiv", "time": "2026-11-08T19:00:00.000Z", "active": "2026-11-08T19:00:00.000Z", "summary": "Reinforcement learning agents can exploit verifiable reward-context conflicts to earn higher rewards through noncompliant shortcuts, while contextual penalties and safety learning can improve compliance without sacrificing task capability.", "facts": [ "Xinjie Shen", "5 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.12865" } ], "sources": 1, "picked": false, "topics": [ "agents", "safety" ], "votes": 0, "weight": 0.658, "score": 0.169 }, { "id": "x:2119238247633096978", "area": "posts", "headline": "Levi Foster — Circuit grafts: SmolLM2-135M multiplication from 21.3% to 83.1% with no gradient training and no original weight changed (a hidden-state read, rule tables found by a program from 340 solved problems, two switches, a push at the last layer; 25,270 to 121,198 added weights)", "url": "https://x.com/cybermynd/status/2119238247633096978", "source": "X", "time": "2026-11-07T00:00:00.000Z", "active": "2026-11-07T00:00:00.000Z", "summary": "Levi Foster adds a small circuit beside a frozen SmolLM2-135M. It reads both numbers' digits from the model's hidden state, looks up each answer digit in a rule table, and adds a push toward that digit token at the last layer, gated by two fitted switches that keep it off outside \"writing the…", "facts": [ "Levi Foster (@cybermynd, lf.wtf)" ], "more": [], "sources": 1, "picked": true, "topics": [ "steering", "weight-editing", "interpretability" ], "votes": 0, "weight": 0.852, "score": 0.167 }, { "id": "arxiv:2611.10649", "area": "papers", "headline": "MACaQ: Fast, Model Agnostic Calibrated Quantization for Low-Precision Weights and Activations", "url": "https://arxiv.org/abs/2611.10649", "source": "arXiv", "time": "2026-11-06T19:00:00.000Z", "active": "2026-11-06T19:00:00.000Z", "summary": "MACaQ is an MXFP4 W4A4 post-training quantization method that quantizes each linear layer independently using online activation transforms and Hessian-aware refinement, reducing cost while preserving accuracy across language and diffusion models.", "facts": [ "Lorenz K. Muller + 5 authors", "30 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.10649" }, { "label": "code", "url": "https://github.com/huawei-csl/MACaQ" } ], "sources": 1, "picked": false, "topics": [ "quantization", "image-video" ], "votes": 0, "weight": 0.868, "score": 0.166 }, { "id": "gh:ollama/ollama", "area": "engines", "headline": "ollama v0.40.17 released", "url": "https://github.com/ollama/ollama/releases/tag/v0.40.17-rc0", "source": "GitHub", "time": "2026-11-10T22:25:00.000Z", "active": "2026-11-10T22:25:00.000Z", "summary": "", "facts": [ "ollama/ollama", "3 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.399, "score": 0.161 }, { "id": "arxiv:2611.13482", "area": "papers", "headline": "ExRL: Sample-Efficient Online Adaptation of Long-Chunk Policies via Execution Length Control", "url": "https://arxiv.org/abs/2611.13482", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Execution at the Right Length (ExRL) enables sample-efficient adaptation of long-chunk robot policies by training a lightweight adapter to predict each chunk’s execution length using off-policy reinforcement learning.", "facts": [ "Xu Luo + 7 authors", "4 upvotes", "code released" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.13482" }, { "label": "code", "url": "https://github.com/Frankluox/ExRL" } ], "sources": 1, "picked": false, "topics": [ "robotics" ], "votes": 0, "weight": 0.517, "score": 0.16 }, { "id": "arxiv:2611.14413", "area": "papers", "headline": "Bits or permutations? Spending a fixed inference budget on weight precision or on option-order averaging in small local language models", "url": "https://arxiv.org/abs/2611.14413", "source": "arXiv", "time": "2026-11-09T19:00:00.000Z", "active": "2026-11-09T19:00:00.000Z", "summary": "Local language models can save memory by storing weights in fewer bits, and they can reduce sensitivity to the order of answer options by averaging a few reorderings. We ask whether the first makes the second worse, and which is the cheaper way to spend a fixed budget.", "facts": [ "Mohammed Nayeem Khan + 2 authors", "2 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2611.14413" } ], "sources": 1, "picked": false, "topics": [ "memory" ], "votes": 0, "weight": 0.51, "score": 0.157 }, { "id": "arxiv:2608.22237", "area": "papers", "headline": "Read Less, Solve More: Token-Efficient Sparse Reading of External Content for AI Agents", "url": "https://arxiv.org/abs/2608.22237", "source": "arXiv", "time": "2026-11-06T19:00:00.000Z", "active": "2026-11-06T19:00:00.000Z", "summary": "Web-facing AI agents repeatedly access webpages, documents, repositories, and tool responses, yet reading interfaces often expose entire objects when only sparse evidence is needed. This over-reading increases token and latency costs and can dilute relevant evidence.", "facts": [ "Zedong Liu + 7 authors", "18 upvotes" ], "more": [ { "label": "Hugging Face paper page", "url": "https://huggingface.co/papers/2608.22237" } ], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.817, "score": 0.156 }, { "id": "gh:hkuds/agentpilot", "area": "engines", "headline": "HKUDS/AgentPilot", "url": "https://github.com/HKUDS/AgentPilot", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "HKU Data Intelligence Lab (Chao Huang, @huangchao4969)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.9, "score": 0.156 }, { "id": "gh:leo1oel/lattice", "area": "engines", "headline": "leo1oel/lattice (Apache-2.0 with a non-commercial panel library and a tldraw key, 66★, v0.15.5) — a local-first, agent-first LaTeX workspace for Apple Silicon Macs: live PDF, papers library with citation checks against Crossref, annotation-driven agent revisions as diffs, Overleaf two-way sync, bring-your-own coding agent (Claude Code, Codex and others)", "url": "https://github.com/leo1oel/lattice", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "leo1oel (Lattice project)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.9, "score": 0.156 }, { "id": "gh:naturalpad-studio/instanthmr", "area": "engines", "headline": "Naturalpad-studio/InstantHMR (Adjel, Chalabi, Bonnet — LAAS-CNRS; Apache-2.0 code, 233★) — 3D human body mesh from one image in 1 ms on an RTX 4070 and 5.5 ms on a Galaxy S23 NPU: four 20M–32M-parameter models, ONNX, MHR 18,439-vertex mesh; 40.0 mm PA-MPJPE on 3DPW; the four best weights are non-commercial, a commercial one is 12 mm worse", "url": "https://github.com/Naturalpad-studio/InstantHMR", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "Mohamed Adjel, Kahina Chalabi, Vincent Bonnet (LAAS-CNRS report 26486); @adjelmohamed" ], "more": [], "sources": 1, "picked": true, "topics": [ "on-device", "evals" ], "votes": 0, "weight": 0.9, "score": 0.156 }, { "id": "gh:nvlabs/sana", "area": "engines", "headline": "NVlabs/Sana branch sol-engine (Sol-Engine; Apache-2.0 code, 9.8K★ repo) — an agent-driven inference stack for video diffusion on SGLang: five training-free techniques (step cache, NVFP4, kernel fusion, Sol-Attn sparse attention, token pruning), 2.2× to 5.0× per model, 22× to 28× for MiniMax-H3 with a two-model draft-and-refine, and a Sol-Attn Metal kernel for Apple Silicon", "url": "https://github.com/NVlabs/Sana/tree/sol-engine", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "NVIDIA Labs and MIT (Li, Chen, Li, Liu, Yu, Zhu, Luo, Han, Xie)" ], "more": [], "sources": 1, "picked": true, "topics": [ "inference-engines", "agents", "image-video" ], "votes": 0, "weight": 0.9, "score": 0.156 }, { "id": "x:2118724081231262025", "area": "posts", "headline": "Ivanisvili — \"I'll just release the raw AI draft\"", "url": "https://x.com/PI010101/status/2118724081231262025", "source": "X", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "Paata Ivanisvili, professor of mathematics at UC Irvine, quoted PSI's announcement with \"this would be a major result if it holds\" and released his own AI-written draft: a partial result, not a proof of the conjecture, giving a quasi-polynomial lower bound on influence.", "facts": [ "Paata Ivanisvili" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.893, "score": 0.155 }, { "id": "gh:stanfordnlp/dspy", "area": "engines", "headline": "dspy 3.5.0 released", "url": "https://github.com/stanfordnlp/dspy/releases/tag/3.5.0", "source": "GitHub", "time": "2026-11-10T16:25:47.000Z", "active": "2026-11-10T16:25:47.000Z", "summary": "", "facts": [ "stanfordnlp/dspy", "1 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.399, "score": 0.151 }, { "id": "url:simonwillison.net/2026/nov/12/llm-gemini", "area": "blogs", "headline": "llm-gemini 0.37", "url": "https://simonwillison.net/2026/Nov/12/llm-gemini/", "source": "Simon Willison", "time": "2026-11-12T22:55:19.000Z", "active": "2026-11-12T22:55:19.000Z", "summary": "Google launched Gemini 4 Hydrogen today - the lowest cost member of the Gemini 4 family. It's actually not too far off the price of its much bigger siblings, Carbon and Argon. I'm finding Gemini 4's pricing really confusing.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.151 }, { "id": "url:simonwillison.net/2026/nov/11/aws-emulator", "area": "blogs", "headline": "aws-emulator", "url": "https://simonwillison.net/2026/Nov/11/aws-emulator/", "source": "Simon Willison", "time": "2026-11-11T21:18:30.000Z", "active": "2026-11-11T21:18:30.000Z", "summary": "Finally, an official emulator from AWS to run tests against a local clone of their many different services without having to provision a paid API key to do so. It's written in Rust by a huge swarm of agents - 29,684 commits in the first three weeks of the project.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.278, "score": 0.151 }, { "id": "url:huggingface.co/blog/3d-lora-finetuning", "area": "blogs", "headline": "The Definitive Fine-Tuning Guide for 3D Generation Models", "url": "https://huggingface.co/blog/3d-lora-finetuning", "source": "Hugging Face blog", "time": "2026-11-12T00:00:00.000Z", "active": "2026-11-12T00:00:00.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "training" ], "votes": 0, "weight": 0.264, "score": 0.15 }, { "id": "url:aws.amazon.com/blogs/machine-learning/four-amazon-bedrock-inference-choices-that-affect-cost", "area": "blogs", "headline": "Four Amazon Bedrock inference choices that affect cost", "url": "https://aws.amazon.com/blogs/machine-learning/four-amazon-bedrock-inference-choices-that-affect-cost/", "source": "AWS Machine Learning", "time": "2026-11-12T20:51:55.000Z", "active": "2026-11-12T20:51:55.000Z", "summary": "Your Amazon Bedrock inference bill can keep climbing even after you tune prompts and application logic. Four request-level choices (cache duration, service tier, reasoning effort, and maxTokens) change how many tokens the service processes and the rate applied.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.144 }, { "id": "gh:mlc-ai/web-llm", "area": "engines", "headline": "web-llm v0.2.88 released", "url": "https://github.com/mlc-ai/web-llm/releases/tag/v0.2.88", "source": "GitHub", "time": "2026-11-10T09:20:02.000Z", "active": "2026-11-10T09:20:02.000Z", "summary": "", "facts": [ "mlc-ai/web-llm", "1 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.399, "score": 0.14 }, { "id": "url:huggingface.co/blog/ibm-granite/llmon-an-llm-native-markup-language-now-in-granite", "area": "blogs", "headline": "LLMON: An LLM-Native Markup Language, now in Granite 4.1 3B and 8B", "url": "https://huggingface.co/blog/ibm-granite/llmon-an-llm-native-markup-language-now-in-granite", "source": "Hugging Face blog", "time": "2026-11-12T19:07:35.000Z", "active": "2026-11-12T19:07:35.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.138 }, { "id": "arxiv:2611.09759", "area": "papers", "headline": "A strict hierarchy for chain of thought: more reasoning steps provably decide more problems", "url": "https://arxiv.org/abs/2611.09759", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "Thanh Le, A. Pavan, N. V. Vinodchandran" ], "more": [], "sources": 1, "picked": true, "topics": [], "votes": 0, "weight": 0.795, "score": 0.138 }, { "id": "url:deepmind.google/blog/introducing-gemini-4-hydrogen", "area": "blogs", "headline": "Introducing Gemini 4 Hydrogen", "url": "https://deepmind.google/blog/introducing-gemini-4-hydrogen/", "source": "Google DeepMind blog", "time": "2026-11-12T18:00:50.000Z", "active": "2026-11-12T18:00:50.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.135 }, { "id": "hf:syzygyresearch/mach-boom", "area": "models", "headline": "Mach Boom: trellis-coded Phonon 31m, and what Mach Studio is", "url": "https://huggingface.co/SyzygyResearch/Mach-Boom", "source": "Picked", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "", "facts": [ "Syzygy Research" ], "more": [], "sources": 1, "picked": true, "topics": [ "quantization", "speech", "on-device" ], "votes": 0, "weight": 0.405, "score": 0.131 }, { "id": "url:machinelearning.apple.com/research/theoretical-limits-alignment", "area": "blogs", "headline": "Theoretical Limits of Language Model Alignment", "url": "https://machinelearning.apple.com/research/theoretical-limits-alignment", "source": "Apple ML Research", "time": "2026-11-12T00:00:00.000Z", "active": "2026-11-12T00:00:00.000Z", "summary": "Language model (LM) alignment improves model outputs to reflect human preferences while preserving the capabilities of the base model.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "safety" ], "votes": 0, "weight": 0.229, "score": 0.13 }, { "id": "url:openathena.ai/blog/marin-535b-architecture", "area": "blogs", "headline": "Architecture Decisions for Marin 535B-A23B (Larry Dial, Open Athena, 9 Nov 2026) — how a 535B-total, 23B-active mixture-of-experts model was designed and de-risked for an 18T-token run on 768 GB200s: ablation tables with compute-efficiency multiples, stability fixes, and a scaling ladder that forecast the final loss (2.039 forecast, 1.982 actual)", "url": "https://openathena.ai/blog/marin-535b-architecture/", "source": "Picked", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "Larry Dial (Open Athena, Marin project)" ], "more": [], "sources": 1, "picked": true, "topics": [ "training" ], "votes": 0, "weight": 0.44, "score": 0.117 }, { "id": "url:openai.com/business/customer-stories/holidays-extras-codex", "area": "blogs", "headline": "Holiday Extras is rethinking what it can build with Codex", "url": "https://openai.com/business/customer-stories/holidays-extras-codex", "source": "OpenAI news", "time": "2026-11-12T09:30:00.000Z", "active": "2026-11-12T09:30:00.000Z", "summary": "With Codex, Holiday Extras is turning customer expertise into better apps, higher booking conversion and new possibilities for growth.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.114 }, { "id": "url:simonwillison.net/2026/nov/11/gemini-decisions-api", "area": "blogs", "headline": "Gemini Decisions API", "url": "https://simonwillison.net/2026/Nov/11/gemini-decisions-api/", "source": "Simon Willison", "time": "2026-11-11T22:03:25.000Z", "active": "2026-11-11T22:03:25.000Z", "summary": "Google join Jev and OpenAI in the decision model category with \"Gemini Decision 1\". This new model API is almost identical to Jev: it supports the same three types of questions (yes/no, choice, and rubric-scoring) and even reuses Jev's term \"Noul\" for a yes/no question.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "decision-models" ], "votes": 0, "weight": 0.207, "score": 0.114 }, { "id": "url:latent.space/p/jev-revolution", "area": "blogs", "headline": "The Jev Revolution: What Engineers Are Already Building with System One Models", "url": "https://latent.space/p/jev-revolution/", "source": "Latent Space", "time": "2026-11-12T05:08:20.000Z", "active": "2026-11-12T05:08:20.000Z", "summary": "At AI Engineer Code Summit, lead Jev creator Diogo Almeida called on developers to automate everything. Also, Glean and others showed how they’re using Jev.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.105 }, { "id": "gh:ngxson/wllama", "area": "engines", "headline": "wllama 3.13.0 released", "url": "https://github.com/ngxson/wllama/releases/tag/3.13.0", "source": "GitHub", "time": "2026-11-08T22:00:11.000Z", "active": "2026-11-08T22:00:11.000Z", "summary": "", "facts": [ "ngxson/wllama", "1 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.399, "score": 0.104 }, { "id": "url:developer.nvidia.com/blog/agent-substrate-advancing-kubernetes-for-agents-at-scale", "area": "blogs", "headline": "Agent Substrate: Advancing Kubernetes for Agents at Scale", "url": "https://developer.nvidia.com/blog/agent-substrate-advancing-kubernetes-for-agents-at-scale/", "source": "NVIDIA developer blog", "time": "2026-11-10T15:00:00.000Z", "active": "2026-11-10T15:00:00.000Z", "summary": "AI agents spend most of their time idle, waiting on a human prompt, a tool result or a model response. Kubernetes wasn’t built for that. Running one Pod per...", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "agents" ], "votes": 0, "weight": 0.278, "score": 0.104 }, { "id": "url:vincentzed.com/writing/softmax-wall", "area": "blogs", "headline": "The Softmax Wall and the 2:4 Sparse Attention Trap", "url": "https://vincentzed.com/writing/softmax-wall", "source": "Picked", "time": "2026-11-08T00:00:00.000Z", "active": "2026-11-08T00:00:00.000Z", "summary": "", "facts": [ "Vincent Zhong (@vincentzedcuda)" ], "more": [], "sources": 1, "picked": true, "topics": [ "quantization", "inference-engines" ], "votes": 0, "weight": 0.451, "score": 0.102 }, { "id": "url:codeberg.org/wvhulle/bootvine", "area": "blogs", "headline": "bootvine (Willem Vanhulle, Codeberg, GPL-3.0-or-later, Rust, 59 stars, v0.1.3) — a live tree of systemd jobs on the Linux boot console with a timeline of the slowest units and a failure panel that shows why a unit broke; shown in a 12-second Orhun Parmaksiz post (38.4K views)", "url": "https://codeberg.org/wvhulle/bootvine", "source": "Picked", "time": "2026-11-09T00:00:00.000Z", "active": "2026-11-09T00:00:00.000Z", "summary": "", "facts": [ "Willem Vanhulle (wvhulle); the post is by Orhun Parmaksiz (@orhundev), a ratatui maintainer by his profile line, who reposts it" ], "more": [], "sources": 1, "picked": true, "topics": [], "votes": 0, "weight": 0.369, "score": 0.098 }, { "id": "url:research.google/blog/using-wearables-to-enable-cardiovascular-kidney-metabolic-ckm-risk-profiling-for-personalized-coaching", "area": "blogs", "headline": "Using wearables to enable cardiovascular-kidney-metabolic (CKM) risk profiling for personalized coaching", "url": "https://research.google/blog/using-wearables-to-enable-cardiovascular-kidney-metabolic-ckm-risk-profiling-for-personalized-coaching/", "source": "Google Research blog", "time": "2026-11-11T19:54:00.000Z", "active": "2026-11-11T19:54:00.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.091 }, { "id": "url:developer.nvidia.com/blog/validating-gpu-platforms-with-runtime-ai-inventory-via-the-nvidia-dsx-ai-factory", "area": "blogs", "headline": "Validating GPU Platforms with Runtime AI Inventory via the NVIDIA DSX AI Factory", "url": "https://developer.nvidia.com/blog/validating-gpu-platforms-with-runtime-ai-inventory-via-the-nvidia-dsx-ai-factory/", "source": "NVIDIA developer blog", "time": "2026-11-11T17:00:00.000Z", "active": "2026-11-11T17:00:00.000Z", "summary": "As teams deploy and scale AI workloads using NVIDIA Dynamo, Kubeflow, or Slurm, tracking what actually runs requires visibility beyond the platform...", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.087 }, { "id": "url:dimension9.space", "area": "blogs", "headline": "Backroom: Dimension 9 (dimension9.space) — a browser Backrooms game with other players: camcorder look, a heartbeat scanner and EMP scan, proximity voice, a shared discoveries ledger, and a lunar-lander opening on 20 July 1969; built, per its own card, with Opus 5.5", "url": "https://dimension9.space/", "source": "Picked", "time": "2026-11-07T00:00:00.000Z", "active": "2026-11-07T00:00:00.000Z", "summary": "", "facts": [ "unknown (the multiplayer server sits under the Cloudflare account name \"apekshik\"; I did not verify who that is)" ], "more": [], "sources": 1, "picked": true, "topics": [ "speech" ], "votes": 0, "weight": 0.437, "score": 0.086 }, { "id": "url:deepmind.google/blog/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease", "area": "blogs", "headline": "AlphaGenome 2: Deciphering how cells read DNA to better understand disease", "url": "https://deepmind.google/blog/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease/", "source": "Google DeepMind blog", "time": "2026-11-11T15:00:15.000Z", "active": "2026-11-11T15:00:15.000Z", "summary": "Predicting how DNA sequences and their variations impact specific human cell types and disease.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.085 }, { "id": "url:machinelearning.apple.com/research/gating-memorization-in-context", "area": "blogs", "headline": "On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models", "url": "https://machinelearning.apple.com/research/gating-memorization-in-context", "source": "Apple ML Research", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "State Space Models (SSMs) have emerged as a compelling alternative to Transformers, enabling sequence modeling with constant memory and linear compute.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "memory" ], "votes": 0, "weight": 0.258, "score": 0.083 }, { "id": "url:savethecat.com/get-started", "area": "blogs", "headline": "Save the Cat Method — the company's guide to the 15 beats and 10 story genres (Blake Snyder's structure)", "url": "https://savethecat.com/get-started", "source": "Picked", "time": "2026-11-08T00:00:00.000Z", "active": "2026-11-08T00:00:00.000Z", "summary": "", "facts": [ "Save the Cat (company founded on Blake Snyder's method)" ], "more": [], "sources": 1, "picked": true, "topics": [], "votes": 0, "weight": 0.369, "score": 0.083 }, { "id": "url:en.wikipedia.org/wiki/save_the_cat!", "area": "blogs", "headline": "Wikipedia — Save the Cat! (Blake Snyder's beat sheet BS2 by page number, the board, ten story types, and the criticism)", "url": "https://en.wikipedia.org/wiki/Save_the_Cat!", "source": "Picked", "time": "2026-11-08T00:00:00.000Z", "active": "2026-11-08T00:00:00.000Z", "summary": "", "facts": [ "Wikipedia contributors" ], "more": [], "sources": 1, "picked": true, "topics": [], "votes": 0, "weight": 0.369, "score": 0.083 }, { "id": "url:anthropic.com/research/components-of-agent-memory", "area": "blogs", "headline": "The components of agent memory (Anthropic Engineering, Lance Martin, 2026-11-06) — a four-layer memory hierarchy and \"dreaming\": an offline pass that checks notes against transcripts, rewrites wrong ones and builds wikis", "url": "https://www.anthropic.com/research/components-of-agent-memory", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "Lance Martin (Anthropic)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents", "memory" ], "votes": 0, "weight": 0.451, "score": 0.078 }, { "id": "url:doubleai.s.gy/llm-redesign", "area": "blogs", "headline": "Can LLMs redesign themselves as they train? (doubleAI): coding agents splice code layers into a network mid-training; nanochat loss falls below ordinary training, CLRS-Text 55% → 84%, DeepSeek-V4.1-Flash on itself 64% → 71% on AIME/HMMT 2026", "url": "https://doubleai.s.gy/llm-redesign", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "doubleAI" ], "more": [], "sources": 1, "picked": true, "topics": [ "interpretability", "agents" ], "votes": 0, "weight": 0.451, "score": 0.078 }, { "id": "url:huggingface.co/blog/harness-hub/harness-adapters", "area": "blogs", "headline": "Harness adapters: Safe RL for efficient agentic development (Hugging Face harness-hub, Younes B, Lysandre, Nathan Habib, 2026-11-06) — one RL-trained LoRA per model and harness (pi, opencode, hermes), environments built from shared agent sessions, and safeagents, a rule-based proxy that blocks reward-hacking tool calls before they run", "url": "https://huggingface.co/blog/harness-hub/harness-adapters", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "Younes B (ybelkada), Lysandre, Nathan Habib (Hugging Face, harness-hub)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents", "training" ], "votes": 0, "weight": 0.451, "score": 0.078 }, { "id": "url:lifo.sh", "area": "blogs", "headline": "Lifo (lifo.sh, lifo-sh/lifo; MIT per npm and site, no LICENSE file in the repo, 549★, v0.10.29 alpha) — a Unix-like shell, filesystem and Node.js compatibility layer rewritten in TypeScript: 0.3 MB, boots in about 27 ms in a browser tab, runs npm, Vite, Expo and a Supabase-compatible backend; its own isolation note says it is not a security boundary", "url": "https://lifo.sh/", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "Lifo team (core: Sanket Sahu; makers of RapidNative, Bangalore)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents", "evals" ], "votes": 0, "weight": 0.451, "score": 0.078 }, { "id": "url:psi.inc/research/aaronson-ambainis", "area": "blogs", "headline": "PSI — a claimed proof of the Aaronson-Ambainis conjecture", "url": "https://psi.inc/research/aaronson-ambainis/", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "PSI says a research system built by David Turturean, running instances of a non-public Anthropic model, proved the Aaronson-Ambainis conjecture (open since 2008): a bounded polynomial of degree d and variance v has a variable of influence at least c·v^(5/2)/d^6, c about 0.0025 (the page),…", "facts": [ "Physical Superintelligence PBC (PSI); paper by David Turturean" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.451, "score": 0.078 }, { "id": "url:civitai.com/articles/38178", "area": "blogs", "headline": "A local agent that runs ComfyUI on the same 12 GB card as its own brain (semenovsas776, 2026-11-06)", "url": "https://civitai.com/articles/38178", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "semenovsas776 (Civitai)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.451, "score": 0.078 }, { "id": "url:dianetc.com/musings/ari", "area": "blogs", "headline": "Amortized Reasoning Index (Tchuindjo, Shah, Khattab — MIT): a 400M cross-encoder retriever whose weights are trained at search time on a reasoning model's rankings, with no relevance labels; held-out Recall@100 grows 3.2× to 7× and ends above Qwen3-Embedding-8B on all three tasks (not in typical rank on one)", "url": "https://dianetc.com/musings/ari/", "source": "Picked", "time": "2026-11-06T00:00:00.000Z", "active": "2026-11-06T00:00:00.000Z", "summary": "", "facts": [ "Diane Tchuindjo, Devavrat Shah, Omar Khattab (MIT)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents", "memory" ], "votes": 0, "weight": 0.451, "score": 0.078 }, { "id": "gh:nvidia/tensorrt-llm", "area": "engines", "headline": "TensorRT-LLM v1.4.0rc3 released", "url": "https://github.com/NVIDIA/TensorRT-LLM/releases/tag/v1.4.0rc3", "source": "GitHub", "time": "2026-11-06T21:38:32.000Z", "active": "2026-11-06T21:38:32.000Z", "summary": "", "facts": [ "NVIDIA/TensorRT-LLM", "1 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.399, "score": 0.077 }, { "id": "gh:huggingface/transformers", "area": "engines", "headline": "transformers Patch release v5.22.2 released", "url": "https://github.com/huggingface/transformers/releases/tag/v5.22.2", "source": "GitHub", "time": "2026-11-06T15:43:27.000Z", "active": "2026-11-06T15:43:27.000Z", "summary": "", "facts": [ "huggingface/transformers", "1 releases in 7 days" ], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.399, "score": 0.075 }, { "id": "url:importai.substack.com/p/import-ai-480-self-sustaining-space", "area": "blogs", "headline": "Import AI 480: Self-sustaining space economies; AI for science progress, and Meta builds perfect hands for a superintelligence", "url": "https://importai.substack.com/p/import-ai-480-self-sustaining-space", "source": "Import AI", "time": "2026-11-09T13:31:34.000Z", "active": "2026-11-09T13:31:34.000Z", "summary": "When do you think we'll have robots on the moon?", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "robotics" ], "votes": 0, "weight": 0.223, "score": 0.066 }, { "id": "url:deepmind.google/blog/gemini-4-carbon-is-now-available", "area": "blogs", "headline": "Gemini 4 Carbon is now available", "url": "https://deepmind.google/blog/gemini-4-carbon-is-now-available/", "source": "Google DeepMind blog", "time": "2026-11-10T16:03:47.000Z", "active": "2026-11-10T16:03:47.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.064 }, { "id": "url:developer.nvidia.com/blog/running-av-reasoning-models-within-onboard-compute-and-latency-limits", "area": "blogs", "headline": "Running AV Reasoning Models Within Onboard Compute and Latency Limits", "url": "https://developer.nvidia.com/blog/running-av-reasoning-models-within-onboard-compute-and-latency-limits/", "source": "NVIDIA developer blog", "time": "2026-11-10T16:00:00.000Z", "active": "2026-11-10T16:00:00.000Z", "summary": "Autonomous vehicle (AV) developers need reasoning models that can operate within the compute and latency constraints of an onboard system. Larger models provide...", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.064 }, { "id": "url:bair.berkeley.edu/blog/2026/11/09/bair-at-corl-2026", "area": "blogs", "headline": "BAIR at CoRL 2026", "url": "http://bair.berkeley.edu/blog/2026/11/09/bair-at-corl-2026/", "source": "BAIR blog", "time": "2026-11-09T09:00:00.000Z", "active": "2026-11-09T09:00:00.000Z", "summary": "The Conference on Robot Learning (CoRL) takes place November 9–12, 2026, in Austin, Texas. BAIR faculty, postdocs and students will be presenting research at various sessions, including an Early Career Keynote from Professor Negar Mehr.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [ "robotics" ], "votes": 0, "weight": 0.223, "score": 0.063 }, { "id": "url:machinelearning.apple.com/research/evaluating-evaluators-llm-judges", "area": "blogs", "headline": "Evaluating the Evaluators: Investigating LLM Judges for Personalized Writing Style Assessment", "url": "https://machinelearning.apple.com/research/evaluating-evaluators-llm-judges", "source": "Apple ML Research", "time": "2026-11-10T00:00:00.000Z", "active": "2026-11-10T00:00:00.000Z", "summary": "This paper was accepted at the Can We Trust AI Evaluation? Workshop at NeurIPS 2026. We evaluate how good large language model (LLM) judges are for personalized writing tasks.", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.055 }, { "id": "url:research.google/blog/exploring-the-worlds-languages-with-language-explorer", "area": "blogs", "headline": "Exploring the world's languages with Language Explorer", "url": "https://research.google/blog/exploring-the-worlds-languages-with-language-explorer/", "source": "Google Research blog", "time": "2026-11-09T20:29:39.000Z", "active": "2026-11-09T20:29:39.000Z", "summary": "", "facts": [], "more": [], "sources": 1, "picked": false, "topics": [], "votes": 0, "weight": 0.171, "score": 0.053 }, { "id": "gh:tezumie/image-to-pixel", "area": "engines", "headline": "Tezumie/Image-to-Pixel (MIT, 545★, v3.2.0 on 2026-10-17) — turns images and video into pixel art in the browser, and ships the engine as an npm package: 16 dither methods, 24 built-in palettes plus Lospec import, batch and video export, sprite sheets with JSON atlases and deduplicated tilesets; every step is a WebGL 2 shader pass with a CPU path that gives identical pixels", "url": "https://github.com/Tezumie/Image-to-Pixel", "source": "Picked", "time": "2026-10-17T00:00:00.000Z", "active": "2026-10-17T00:00:00.000Z", "summary": "", "facts": [ "Tezumie" ], "more": [], "sources": 1, "picked": true, "topics": [ "image-video" ], "votes": 0, "weight": 0.889, "score": 0.047 }, { "id": "gh:ppmpreetham/bui", "area": "engines", "headline": "ppmpreetham/BUI (GPL-3.0, 1,641★, v0.4.1) — Blender's widget drawing and interaction code ported to a C UI kit with bindings for Python (tkinter, Qt-style), Rust (HTML/CSS/Tailwind), React/Svelte on Node, Dear ImGui and C; native windows only, WebAssembly build planned", "url": "https://github.com/ppmpreetham/BUI", "source": "Picked", "time": "2026-08-26T00:00:00.000Z", "active": "2026-08-26T00:00:00.000Z", "summary": "", "facts": [ "Preetham (ppmpreetham)" ], "more": [], "sources": 1, "picked": true, "topics": [], "votes": 0, "weight": 0.736, "score": 0.014 }, { "id": "gh:skydiscover-ai/skydiscover", "area": "engines", "headline": "skydiscover-ai/skydiscover — UC Berkeley's open framework for AI-driven discovery: Optimize (evolutionary search, AdaEvolve and EvoX) and Synthesize (SkySynth, the /skysynth skill that has coding agents build a trusted just-in-time system); Apache-2.0, 744 stars", "url": "https://github.com/skydiscover-ai/skydiscover", "source": "Picked", "time": "2026-02-18T00:00:00.000Z", "active": "2026-02-18T00:00:00.000Z", "summary": "One repo, two products. Optimize evolves programs against your scoring function (AdaEvolve and EvoX search, six more algorithms). Synthesize (SkySynth) builds a whole system specialized to your workload, hardware and requirements, driven from a coding agent with /skysynth .", "facts": [ "UC Berkeley Sky Lab (skydiscover-ai)" ], "more": [], "sources": 1, "picked": true, "topics": [ "agents" ], "votes": 0, "weight": 0.9, "score": 0.005 }, { "id": "url:uncrayon.github.io/separatrix", "area": "blogs", "headline": "Separatrix (Ulises Rayón, MIT, v1.0.0) — a free offline desktop app for exploring dynamical systems: phase portraits, Lyapunov spectra, orbit diagrams and bifurcation continuation, with 31 Strogatz examples and LaTeX export; Rust solvers plus a React/Tauri front end", "url": "https://uncrayon.github.io/separatrix/", "source": "Picked", "time": "2025-01-01T00:00:00.000Z", "active": "2025-01-01T00:00:00.000Z", "summary": "", "facts": [ "Ulises Rayón" ], "more": [], "sources": 1, "picked": true, "topics": [], "votes": 0, "weight": 0.369, "score": 0.001 } ] }