Skip to content

#Agent

Today 3 items
Sep 26Sat
  1. Simon Willison55

    Quoting John Gruber

    Simon Willison quoted John Gruber's article 'Muse Looks Cute, but Looks are Deceiving': Meta's Muse gives every user a full persistent Linux VM running on Meta's cloud, packaged as a cute mascot and easy to install and use, and is being called the first consumer-accessible agentic AI system.

Sep 25Fri
  1. Latent Space36

    [AINews] The Future of Latent Space

    Latent Space's swyx announced a revamp of AINews, which has run for 3 years and has over 200,000 subscribers, planning to merge AINews v3 with the tens-of-thousands-member Latent Space Discord, migrate the site to Beehiiv and launch a new homepage.

  2. Simon Willison26

    Note on 24th September 2026

    Simon Willison argues that the more he works with coding agents, the more convinced he is that they make software engineering harder. He says these agents can produce stunning results, but unlocking their full potential requires extreme discipline and knowledge.

  3. GitHub Blog · AI & ML55

    When chat is the wrong UI

    GitHub Copilot authors argue that chat is not the best interface for collaborating with AI, introducing the canvas feature in the GitHub Copilot app—a small full-stack app that communicates bidirectionally with agents, can call third-party APIs, and runs code locally.

  4. Google Research54

    Automating coherent long-form video generation

    Google Research unveiled its AI video co-director research, building a multi-agent orchestration layer based on Gemini and Veo with four frameworks — Co-Director, CANVAS, A²RD and VQQA — that reformulates long-form video generation as a global optimization and world-state tracking problem.

  5. GitHub Blog · AI & ML68

    AI-powered fuzzing with the GitHub Security Lab Taskflow Agent

    Antonio Morales of GitHub Security Lab has released Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++ projects built on the Taskflow Agent — you only specify a GitHub repository, and it automatically identifies entry points, analyzes the build system, writes harnesses, runs AFL++, and triages crashes.

    Why it matters: The author explains the design of the automated fuzzing pipeline, showing how LLM agents can take over manual steps like coverage analysis and crash triage.

Sep 24Thu
Sep 23Wed
  1. Latent Space84

    [AINews] Claude Opus 5.5, the new default model for AINews — and everybody cuts prices 40-50%

    Anthropic released Claude Opus 5.5, the first model in the Claude 5.5 family, claiming it matches Fable 5.1 on most tasks, is about 30% faster than Opus 5, and 40% cheaper per task; token pricing dropped from $5/$25 to $4/$20, and it became the default model for Claude Code and the Claude app. OpenAI responded the same day with 50% price cuts on GPT-6 Sol and Luna.

    Why it matters: The article compiles Opus 5.5 pricing, benchmarks, and controversies, including third-party teardowns showing the 40% discount does not hold at max effort.

  2. Simon Willison22

    SF October 14th: A Birds of a Feather Session on Agentic Engineering

    Simon Willison and Jesse Vincent will co-host a Birds of a Feather event for coding agent developers in San Francisco on Wednesday, October 14, an informal agentic show-and-tell for sharing experiments. Sharing is encouraged but not required, product pitches are explicitly excluded, and unreleased work, quirky experiments, and unfinished projects without an obvious market are welcome.

Sep 22Tue
Sep 21Mon
Sep 19Sat
Sep 18Fri
  1. GitHub Blog · AI & ML42

    Should you read the code, is RAG dead, and did Skills kill MCP?

    The GitHub Podcast breaks down five common AI hot takes one by one. Key conclusions: AI-generated code still needs review scaled to risk; Skills and MCP solve different problems, with MCP providing a standard for tool and data access while Skills package team workflows and best practices in Markdown, making them complementary; RAG is not dead—retrieval brings models closer to answers and can coexist with agents, MCP, and Skills in the same workflow.

  2. Latent Space36

    [AINews] not much happened today

    Anthropic launched Projects in Claude Code, letting a single conversation spin up parallel cloud threads that keep running after the user leaves; Google updated its Gemini managed agents with a new Credentials API and Files API, claiming 30% lower costs and 22% more cache hits.

Sep 17Thu
  1. Latent Space48

    [AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)

    Steve Yegge announced he is shutting down Gas Town after spending thousands of dollars a month on coding agent subscriptions, admitting it was the only output. Databricks rolled out GPT-6 Astra to about 3,500 engineers; it clearly outperforms Opus 5 / Sol 5.6 on complex long-horizon tasks but raised total coding spend by about 60%, prompting a dedicated sub-budget. OpenAI released a framework for disclosing model misalignment incidents plus six case reports from the past six months.

  2. GitHub Blog · AI & ML77

    Migrating the GitHub Copilot runtime to Rust, using Copilot

    GitHub author Stephen Toub describes how the team, using the GitHub Copilot app and CLI, fully rewrote the Copilot agent runtime from TypeScript/Node.js into 832,378 lines of production Rust, with AI agents writing most of the code across 128 pull requests — a project that would normally take one or two person-years was completed by a single developer in a few months.

    Why it matters: The author lived through the entire migration and shares first-hand data on code volume, release cadence, and cache hit rates, offering a viable path for agent-driven large-scale rewrites.

Sep 16Wed
  1. Google DeepMind73

    Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking

    Google DeepMind has released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two real-time voice conversation models targeting cost efficiency at scale and high-complexity multi-step reasoning tasks, respectively.

    Why it matters: The official release lays out how the two product lines divide capabilities, with multiple benchmark figures that help readers weigh trade-offs when choosing models for voice agent scenarios.

  2. Hugging Face Blog64

    Your Agent Aced the Task. Will It Do It Again?

    IBM Research has introduced the Consistency Analyzer and consistency guidelines in ALTK-Evolve, targeting the problem of agents producing unstable results across multiple runs of the same task, cutting the agent consistency gap from 24.4pp to 12.0pp.

    Why it matters: The article offers a reusable Pass^k metric and consistency diagnostics, letting readers evaluate and improve their own agents' run-to-run reliability.

Sep 14Mon
Sep 12Sat
Sep 11Fri
  1. GitHub Blog · AI & ML49

    GitHub Copilot app for Beginners: Using the diff, terminal, and browser

    The GitHub Copilot app adds three built-in panels — diff, terminal, and browser — so you can review agent code changes, run commands, and preview results without leaving the app. The diff panel highlights added and removed lines in green and red, letting you accept changes, leave comments, or ask Copilot to revise; the terminal panel supports running scripts like npm run dev with multiple windows; and the browser panel uses the Pick & Polish tool to select elements for the agent to adjust.

Sep 10Thu