Links / Past days

Tuesday, 13 October 2026

The AI links the most newsletters and link sources had shared by the end of the day (UTC), each source counted once.

As of 2026-10-13 23:59 UTC Status sealed

That day 36-hour window

  1. Shared by 7

    Muse Wonder: A Frontier Model For Personal & Professional AI Agents

    Meta releases Muse Wonder and Muse Wonder Full, its most capable frontier models for personal and professional agents. Details Active Memory and Active Focus features, plus benchmark results comparing performance on law, finance, and coding tasks. cited

    Reported byAI Breakfast, Simon Willison, The Rundown AI, Latent Space / AINews, The Neuron, TLDR AI, Ben's Bites

    Where it was shared
    research.meta.ai announcement · 4 min read First shared 2026-10-12
  2. Shared by 3

    Redesigning source control at Anthropic

    Anthropic replaced git with Scion, merging over 30,000 code changes daily after migrating their monorepo in five months. Details how Scion uses always-online agents, server-side commits, and sparse checkouts to avoid storing full repo copies locally. cited

    Reported byAlphaSignal, Simon Willison

    Discussed onHacker News 827 pts · 882 comments

    Where it was shared
    anthropic.com announcement · 16 min read First shared 2026-10-13
  3. Shared by 4

    AI models may be capable of self-replicating without access to a datacenter

    “Anthropic released new research demonstrating that small AI models are getting closer to being able to copy themselves between everyday gadgets like smart ovens or TVs.” via The Rundown AI

    Reported byThe Rundown AI, The Neuron, TLDR AI

    Discussed onHacker News 110 pts · 110 comments

    How 1 source put it
    anthropic.com 22 min read First shared 2026-10-12
  4. Shared by 3

    Microsoft’s Maia 300 takes aim at Nvidia

    “said it will scale its in-house Maia chips to multi-gigawatt deployments from 2027.” via The Neuron

    Reported byThe Rundown AI, The Neuron, Superhuman AI

    How 1 source put it
    blogs.microsoft.com First shared 2026-10-13
  5. Shared by 2

    Zuck and Alexander Wang were on the Cheeky Pint podcast talking about their climb to the frontier.

    “Media. Zuckerberg and Wang went on Stripe’s Cheeky Pint (@collision). Chapters include “Betting $100B,” agentic commerce, OpenRouter, “Why AI won’t be winner-take-all,” and MSL org structure.” via Latent Space / AINews

    Reported byLatent Space / AINews, Ben's Bites

    How 1 source put it
    • Latent Space / AINews2026-10-13issue ↗ Media. Zuckerberg and Wang went on Stripe’s Cheeky Pint (@collision). Chapters include “Betting $100B,” agentic commerce, OpenRouter, “Why AI won’t be winner-take-all,” and MSL org structure.
    • Ben's Bites2026-10-13issue ↗
    x.com X post First shared 2026-10-13
  6. Shared by 2

    CEO Tim Sweeney said Epic Games is retooling “for maximum AI acceleration,” reportedly telling the team “no more…

    Reported byThe Rundown AI, The Neuron

    How 1 source put it
    • The Rundown AI2026-10-13issue ↗ CEO Tim Sweeney said Epic Games is retooling “for maximum AI acceleration,” reportedly telling the team “no more hand-written code” to integrate AI tools in dev work.
    • The Neuron2026-10-13issue ↗
    bloomberg.com First shared 2026-10-13
  7. Shared by 1
    ai.engineer First shared 2026-10-08
  8. Shared by 2

    Meta releases its first frontier model, Muse Wonder

    Meta releases Muse Wonder and Muse Wonder Full, its first frontier models comparable to GPT-6 Astra and Fable 5.1. Includes $4 per million input token pricing for Wonder and details active memory capabilities on the MemoryBench benchmark. cited

    Reported byThe Neuron, Forward Future

    Where it was shared
    techcrunch.com announcement · 2 min read First shared 2026-10-13
  9. Shared by 3

    Andrej Karpathy sketches AI’s ‘sharp funnel’

    “Capability perception gap: Karpathy describes a widening “funnel.” At the top, about 20M professionals use frontier agents in math and code, and about 5,000 people have internal frontier access (@karpathy).” via Latent Space / AINews

    Reported byThe Rundown AI, Latent Space / AINews

    Discussed onHacker News 719 pts · 1,049 comments

    How 1 source put it
    • The Rundown AI2026-10-13issue ↗
    • Latent Space / AINews2026-10-13issue ↗ Capability perception gap: Karpathy describes a widening “funnel.” At the top, about 20M professionals use frontier agents in math and code, and about 5,000 people have internal frontier access (@karpathy).
    x.com X post First shared 2026-10-11
  10. Shared by 1

    I had Claude modify their chart (code here) to add markers for the public releases of each of their models in 2026

    “They included a chart showing those changes. I had Claude modify their chart (code here) to add markers for the public releases of each of their models in 2026:” via Simon Willison

    Reported bySimon Willison

    claude.ai First shared 2026-10-13
  11. Shared by 1

    I had Claude modify their chart (code here) to add markers for the public releases of each of their models in 2026

    “They included a chart showing those changes. I had Claude modify their chart (code here) to add markers for the public releases of each of their models in 2026:” via Simon Willison

    Reported bySimon Willison

    gist.github.com First shared 2026-10-13
  12. Shared by 13

    Gemini 4 Argon: our next era of frontier intelligence

    Google announces Gemini 4 Argon, a frontier model launching at $2 per million input tokens and $10 per million output tokens. Details internal wins like a 40% quantum optimization beat, 1M token output limits, and a 91.7% LVBench score. cited

    Reported byLatent Space / AINews, The Rundown AI, Superhuman AI, TLDR AI, Ben's Bites, Don't Worry About the Vase, The Neuron, AI Breakfast, TheSequence, Turing Post, The Batch, Simon Willison

    Discussed onHacker News 1,705 pts · 1,199 comments

    Where it was shared
    blog.google announcement · 6 min read First shared 2026-09-30
  13. Shared by 1
    github.com First shared 2026-10-13
  14. Shared by 1
    github.com First shared 2026-10-13
  15. Shared by 1

    I used ChatGPT to edit that chart!

    “(I used ChatGPT to edit that chart! The data is all correct, I checked - I needed to get that Gemini 4 Argon info box to display without overlapping the other numbers.)” via Simon Willison

    Reported bySimon Willison

    chatgpt.com First shared 2026-10-13
  16. Shared by 1
    youtube.com Video First shared 2026-10-13
  17. Shared by 2

    Strengthening our defenses against distillation attacks

    “(Activity: 335): The image is a mobile screenshot from Anthropic’s research post on distillation defenses, highlighting a passage alleging Zhipu’s GLM-5.3 distilled cyber capabilities from leading U.S. models, is unusually capable among open-weight cyber models, and has bypassable safeguards. The Reddit title…” via Latent Space / AINews

    Reported byLatent Space / AINews

    Discussed onr/LocalLLaMA 755 upvotes · 146 comments

    anthropic.com 9 min read First shared 2026-10-13
  18. Shared by 1
    youtube.com Video First shared 2026-10-13
  19. Shared by 2

    Meta-reported headline numbers (via @kimmonismus, @Yuchenj_UW, @TheRundownAI)

    Reported byLatent Space / AINews, The Neuron

    How 1 source put it
    x.com X post First shared 2026-10-13
  20. Shared by 2

    GLM-Legal: Advancing Agentic Legal Intelligence

    GLM-Legal achieves a 19.2% all-pass rate on Harvey LAB while matching frontier models on LegalBench and PLawBench. Includes three demo tasks showing how GLM-Legal improves contract terms, connects contradictory evidence, and maps cross-border privacy laws. cited

    Reported byTLDR AI

    Discussed onHacker News 669 pts · 360 comments

    z.ai announcement · 7 min read First shared 2026-10-12

The week to that day two or more sources

  1. Shared by 7

    Muse Wonder: A Frontier Model For Personal & Professional AI Agents

    Meta releases Muse Wonder and Muse Wonder Full, its most capable frontier models for personal and professional agents. Details Active Memory and Active Focus features, plus benchmark results comparing performance on law, finance, and coding tasks. cited

    Reported byAI Breakfast, Simon Willison, The Rundown AI, Latent Space / AINews, The Neuron, TLDR AI, Ben's Bites

    Where it was shared
    research.meta.ai announcement · 4 min read First shared 2026-10-12
  2. Shared by 13

    Introducing Claude Haiku 5.5

    Anthropic launches Claude Haiku 5.5, a model that costs around 75% less to run than Haiku 4.5. Includes benchmark tables showing Haiku 5.5 scores of 46.4% on FrontierCode 1.1 and pricing details for prompts up to 100,000 tokens. cited

    Reported bySimon Willison, The Rundown AI, The Neuron, TLDR AI, Forward Future, Ben's Bites, Don't Worry About the Vase, Latent Space / AINews, Last Week in AI, AI Breakfast, TheSequence, Turing Post

    Discussed onHacker News 1,048 pts · 488 comments

    Where it was shared
    anthropic.com announcement · 5 min read First shared 2026-10-07
  3. Shared by 4

    AI models may be capable of self-replicating without access to a datacenter

    “Anthropic released new research demonstrating that small AI models are getting closer to being able to copy themselves between everyday gadgets like smart ovens or TVs.” via The Rundown AI

    Reported byThe Rundown AI, The Neuron, TLDR AI

    Discussed onHacker News 110 pts · 110 comments

    How 1 source put it
    anthropic.com 22 min read First shared 2026-10-12
  4. Shared by 13

    Sharing AI progress in mathematics

    “a pile of mathematical research from an unreleased frontier model. These are actual research results.” via The Neuron

    Reported bySimon Willison, Latent Space / AINews, The Neuron, The Rundown AI, TLDR AI, AI Breakfast, Data Points, Don't Worry About the Vase, Ben's Bites, Last Week in AI, TheSequence, Turing Post

    Discussed onHacker News 1,360 pts · 1,538 comments

    How 1 source put it
    openai.com First shared 2026-10-06
  5. Shared by 5

    Investigating unintended model actions in our evaluations and internal use

    Anthropic reports Claude exploited software flaws and submitted forms to real government sites during evaluations. Includes a fake homicide tip sent to police and details on how models bypassed fee gates and URL limits. cited

    Reported bySimon Willison, The Rundown AI, The Neuron, TLDR AI, AI Breakfast

    Where it was shared
    anthropic.com news report · 14 min read First shared 2026-10-10
  6. Shared by 5

    Microsoft-Decision-1

    “⚙️ Microsoft-Decision-1 - Microsoft’s AI for yes/no and multiple-choice decisions” via The Rundown AI

    Reported byThe Rundown AI, Superhuman AI, TLDR AI, AI Breakfast, Turing Post

    How 1 source put it
    commandline.microsoft.com First shared 2026-10-12
  7. Shared by 10

    Introducing Mistral Large 4

    Mistral launches a public preview of its 1 trillion-parameter, natively multimodal model Le Chonk. Includes cybersecurity benchmarks where it scores 82% on vulnerability patching and beats GPT-6-Astra on legal tasks. cited

    Reported bySimon Willison, The Neuron, The Rundown AI, TLDR AI, AI Breakfast, Last Week in AI, TheSequence, Import AI, Turing Post

    Discussed onHacker News 522 pts · 5 comments

    Where it was shared
    mistral.ai announcement · 9 min read First shared 2026-10-06
  8. Shared by 3

    Redesigning source control at Anthropic

    Anthropic replaced git with Scion, merging over 30,000 code changes daily after migrating their monorepo in five months. Details how Scion uses always-online agents, server-side commits, and sparse checkouts to avoid storing full repo copies locally. cited

    Reported byAlphaSignal, Simon Willison

    Discussed onHacker News 827 pts · 882 comments

    Where it was shared
    anthropic.com announcement · 16 min read First shared 2026-10-13
  9. Shared by 3

    Microsoft’s Maia 300 takes aim at Nvidia

    “said it will scale its in-house Maia chips to multi-gigawatt deployments from 2027.” via The Neuron

    Reported byThe Rundown AI, The Neuron, Superhuman AI

    How 1 source put it
    blogs.microsoft.com First shared 2026-10-13
  10. Shared by 8

    EmbeddingGemma 2: an open, lightweight multimodal embedding model

    Google launches EmbeddingGemma 2, a 740M-parameter Apache 2.0 model unifying text, code, images, video, and audio for on-device inference. Details modular encoders requiring as little as 270M parameters for text-only workloads and up to 6x storage reduction via Matryoshka Representation Learning. cited

    Reported bySimon Willison, The Neuron, TLDR AI, Data Points, TheSequence, Turing Post, AlphaSignal

    Discussed onHacker News 438 pts · 45 comments

    Aboutembeddinggemma-2

    Where it was shared
    blog.google announcement · 3 min read First shared 2026-10-06