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Daily briefing on generative AI

AI briefingSaturday, 24 October

Listen to today's briefing3 min · AI voice by ElevenLabs

Updated · 12 stories · 10 sources · 2 min read

Leading today: Securing our frontier model training environment; Introducing Kimi K3.1 Pro; and LitPivot: Developing research ideas through dynamic contextualization within the literature landscape.

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Good morning. Here is your AI briefing for Saturday, 24 October 2026. 12 stories today. Securing our frontier model training environment. OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming. Introducing Kimi K3.1 Pro. (via) Kimi K3.1 Pro landed on the Kimi API today - it's not yet open weights, but Moonshot promise "Full model weights will be released by Nov 4, 2026". LitPivot: Developing research ideas through dynamic contextualization within the literature landscape. Encountering a new paper can change a research idea's trajectory. Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II). Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT. Quick Study. Build an artifact where you open a photo and it rapidly (in a few seconds) paints a version of that photo using a canvas element and simulated paintbrush Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend. Jack Dorsey’s Block announced an AI model called Dessa that’s trained “from scratch on nothing but human conversation,” and to show off the model, Block shared chats it has had with humans that can occasionally be a little… llama.cpp b11852 released. Changes include: macOS Apple Silicon (arm64); macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED; macOS Intel (x64). [AINews] Kimi 3.1 Pro 104BA-2.8T: Fable-5.1-Class Open Weights narrows Closed-AI lead to 1 month... and Pro Highspeed API with 2-3× speed. 2 months ago we covered Z.ai CEO Prof Jie Tang’s prediction that we’d get a Fable-class open weights model by year end. Ollama v0.40.11 released. Changes include: qwen3coder: preserve literal function closing tags in parameters; launch: use allocated context for OpenCode; decision: allow empty state for vllm-d3. Usage metrics API adds usage from tools like OpenCode. The Copilot usage metrics API now reports model usage from more of the tools your developers use with Copilot, including tools like OpenCode that weren’t previously captured in your reports. Anthropic Python SDK v2.3.0 released. Changes include: api: add Claude Tag endpoints for Claude Enterprise organizations; google-cloud: send user profiles requests to the organization endpoint; client: stop sending query params hardcoded in endpoint paths. OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”. On Friday, OpenAI said that it will train its models using cached copies and simulated versions of the internet instead of the live web because the models are too unpredictable to be trusted with live internet access. That's the briefing. Links to every original source are on the page. See you tomorrow.

Podcast Two-host conversation with Jessica & Eric · 5 min

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Eric: Okay, so the big one today... Securing our frontier model training environment.

Jessica: Yeah, we'll get right into that one.

Jessica: This is dailybrief, I'm Jessica.

Eric: And I'm Eric. It's Saturday, 24 October 2026, and we've got 12 stories.

Eric: So what actually changed?

Jessica: OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming.

Jessica: Next up. Simon Willison's Weblog has this one: Introducing Kimi K3.1 Pro.

Eric: Wait, what's the detail there?

Jessica: (via) Kimi K3.1 Pro landed on the Kimi API today - it's not yet open weights, but Moonshot promise "Full model weights will be released by Nov 4, 2026".

Jessica: Moving on. Hugging Face has this one: LitPivot: Developing research ideas through dynamic contextualization within the literature landscape.

Eric: Okay, walk me through it.

Jessica: Encountering a new paper can change a research idea's trajectory.

Jessica: Next up. OpenAI has this one: Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II).

Eric: Huh. What do we know so far?

Jessica: Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.

Jessica: Moving on. Simon Willison's Weblog has this one: Quick Study.

Eric: And is that out now, or just announced?

Jessica: Build an artifact where you open a photo and it rapidly (in a few seconds) paints a version of that photo using a canvas element and simulated paintbrush

Jessica: Next up. The Verge has this one: Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend.

Eric: So what actually changed?

Jessica: Jack Dorsey’s Block announced an AI model called Dessa that’s trained “from scratch on nothing but human conversation,” and to show off the model, Block shared chats it has had with humans that can occasionally be a little…

Jessica: Moving on. llama.cpp releases has this one: llama.cpp b11852 released.

Eric: Wait, what's the detail there?

Jessica: Changes include: macOS Apple Silicon (arm64); macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED; macOS Intel (x64).

Jessica: Next up. Latent Space has this one: [AINews] Kimi 3.1 Pro 104BA-2.8T: Fable-5.1-Class Open Weights narrows Closed-AI lead to 1 month... and Pro Highspeed API with 2-3× speed.

Eric: Okay, walk me through it.

Jessica: 2 months ago we covered Z.ai CEO Prof Jie Tang’s prediction that we’d get a Fable-class open weights model by year end.

Jessica: Moving on. Ollama releases has this one: Ollama v0.40.11 released.

Eric: Huh. What do we know so far?

Jessica: Changes include: qwen3coder: preserve literal function closing tags in parameters; launch: use allocated context for OpenCode; decision: allow empty state for vllm-d3.

Jessica: Next up. GitHub Changelog has this one: Usage metrics API adds usage from tools like OpenCode.

Eric: And is that out now, or just announced?

Jessica: The Copilot usage metrics API now reports model usage from more of the tools your developers use with Copilot, including tools like OpenCode that weren’t previously captured in your reports.

Jessica: Moving on. Anthropic Python SDK releases has this one: Anthropic Python SDK v2.3.0 released.

Eric: So what actually changed?

Jessica: Changes include: api: add Claude Tag endpoints for Claude Enterprise organizations; google-cloud: send user profiles requests to the organization endpoint; client: stop sending query params hardcoded in endpoint paths.

Jessica: And finally. TechCrunch has this one: OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”.

Eric: Wait, what's the detail there?

Jessica: On Friday, OpenAI said that it will train its models using cached copies and simulated versions of the internet instead of the live web because the models are too unpredictable to be trusted with live internet access.

Eric: That's the show for today.

Jessica: Every story is linked to its source on the dailybrief website. See you tomorrow.

Step 3 · 2 minutes

Top 3 stories

Simon Willison's Weblog

Introducing Kimi K3.1 Pro

New Models

(via) Kimi K3.1 Pro landed on the Kimi API today - it's not yet open weights, but Moonshot promise "Full model weights will be released by Nov 4, 2026".

  • $2.00/million tokens
  • GPT-6.1
  • GPT-6
  • Gemini 4
  • They're also offering a "Highspeed" version that's 2-3x faster, at twice the price (except for input token cache hits, which are priced the same).
  • The US dollar pricing is $2.00/million tokens for input and $10/million for output - the same as GPT-6.1 Sol and half the price of Claude Opus 5.5.
  • Moonshot's own benchmarks show Kimi as approximately level with Opus 5.5 and GPT-6 Astra - beating them on a few benchmarks, coming close on others.
Read the full story at Simon Willison's Weblog

Encountering a new paper can change a research idea's trajectory.

  • We call this process a literature-initiated pivot: a change in research direction prompted by reading prior work.
  • With collaborators at the University of Pennsylvania, we developed LitPivot, a system that helps researchers navigate these pivots.
  • In a study with 17 researchers, domain experts rated research ideas developed with LitPivot as better grounded in the literature than those developed…
Read the full story at Hugging Face

Today's newsmakers

Who's making AI news

The companies that feature most in today's stories, ranked by how often and how prominently they appear.

  1. #1

    OpenAI

    5 stories today

    Steady

    +2 more stories

  2. #2

    Anthropic

    4 stories today

    ▲ 2

    +3 more stories

  3. #3

    Moonshot AI

    2 stories today

    New today

    +1 more story

  4. #4

    Google

    2 stories today

    ▼ 2

    +1 more story

  5. #5

    Ollama

    1 story today

    New today

Company names and logos are trademarks of their owners, shown only to identify them.

Optional · if you have more time

More stories

9 more stories

Simon Willison's Weblog

Quick Study

Build an artifact where you open a photo and it rapidly (in a few seconds) paints a version of that photo using a canvas element and simulated paintbrush

  • See also my previous experiment getting Claude Fable to simulate a watercolor illustration with P5.js.
  • Quick Study uses Sobel edge detection, with no external libraries beyond Google Fonts.
  • Battle Drones - a vibe coded RTS with audio-based multiplayer - 20th October 2026
Developer Tools
The Verge

Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend

Jack Dorsey’s Block announced an AI model called Dessa that’s trained “from scratch on nothing but human conversation,” and to show off the model, Block shared chats it has had with humans that can occasionally be a little…

  • Take this one, for example, shared by Dessa lead Ragavan Thurairatnam.
  • The Dessa website features a few other examples, like a back-and-forth about Christopher Nolan’s films (including Dessa going on an unexpected…
  • On the website, the Dessa team says that Dessa is a “true speech-to-speech model, and everything it knows came from human speech,” and it can run…
New Models
llama.cpp releases

llama.cpp b11852 released

Changes include: macOS Apple Silicon (arm64); macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED; macOS Intel (x64).

Developer Tools
Latent Space

[AINews] Kimi 3.1 Pro 104BA-2.8T: Fable-5.1-Class Open Weights narrows Closed-AI lead to 1 month... and Pro Highspeed API with 2-3× speed

2 months ago we covered Z.ai CEO Prof Jie Tang’s prediction that we’d get a Fable-class open weights model by year end.

  • GPT-6
  • You can tell Kimi is proud of their latest model by how fancy their landing page is:
  • As usual we don’t get much research detail - the update is somewhat similar to Z.ai’s 5.2-5.3 bump - a minor version bump for a lot more…
  • Kimi K3.1 Pro is a post-trained version of Kimi K3, with substantially larger post-training compute.
Developer Tools
Ollama releases

Ollama v0.40.11 released

Changes include: qwen3coder: preserve literal function closing tags in parameters; launch: use allocated context for OpenCode; decision: allow empty state for vllm-d3.

  • qwen3
Developer Tools
GitHub Changelog

Usage metrics API adds usage from tools like OpenCode

The Copilot usage metrics API now reports model usage from more of the tools your developers use with Copilot, including tools like OpenCode that weren’t previously captured in your reports.

  • client: The tool that sent the requests, such as opencode, claude_code, codex, zed, copilot_cli, github_app, cloud_agent, code_review, vscode, or…
  • totals_by_model: The same request and token metrics broken down by model, with a model_selection_mode that shows whether the model was requested…
  • More developers now use Copilot as the model provider behind tools outside the IDE.
Developer Tools
Anthropic Python SDK releases

Anthropic Python SDK v2.3.0 released

Changes include: api: add Claude Tag endpoints for Claude Enterprise organizations; google-cloud: send user profiles requests to the organization endpoint; client: stop sending query params hardcoded in endpoint paths.

Developer Tools
TechCrunch

OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”

On Friday, OpenAI said that it will train its models using cached copies and simulated versions of the internet instead of the live web because the models are too unpredictable to be trusted with live internet access.

  • The frontier lab announced its new policy two weeks after its rival, Anthropic, began limiting its newest and, in theory, most capable models from…
  • “Based on the current state of alignment research, monitoring systems, and the security of internet infrastructure, we believe the responsible…
  • OpenAI said that as recently as September 20, one of its frontier models exploited a misconfiguration to access the internet.
New Models

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How we work

Editorial standards

Primary sources first

Lab announcements, release notes and SDK changelogs come before commentary. Every story links to the original.

Only what the source says

Figures, model names and prices are taken from the published text. Where a detail is not stated, we leave it out.

Written for developers

Each story states what changed, by how much, and what it means in practice. No hype, no speculation.

Quick answers

What happened in AI on Saturday, 24 October 2026?

Leading today: Securing our frontier model training environment; Introducing Kimi K3.1 Pro; and LitPivot: Developing research ideas through dynamic contextualization within the literature landscape. 12 stories from 10 sources are summarised on this page.

What are the top AI stories today?

1. Securing our frontier model training environment. 2. Introducing Kimi K3.1 Pro. 3. LitPivot: Developing research ideas through dynamic contextualization within the literature landscape.

Which AI topics does today's briefing cover?

New Models (6), Developer Tools (6).

Where does the information come from?

Headlines and short summaries come from the public feeds of 10 publishers, including Anthropic Python SDK releases, GitHub Changelog, Hugging Face, Latent Space, Ollama releases, OpenAI. Every story links to the original article.

Is there an audio version of this briefing?

Yes. A voice recording covering every story is at the top of this page and is published each day.

Sources

Every headline links to the original. How it works