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  1. Claude Blog78

    Anthropic launches Claude Meetings in beta for Google Meet on Team and Enterprise plans

    Anthropic released Claude Meetings in beta, letting Claude join Google Meet calls as a visible participant that answers questions in chat, builds docs and whiteboards live, and writes notes and action items. Each meeting gets a page in claude.ai with the transcript, notes and artifacts, and by default Claude stays out of calls with external guests unless an admin allows it. The beta is rolling out on Team and Enterprise plans, is unavailable to some organizations including ZDR, HIPAA-ready and CMEK setups, and notes, transcripts and in-call answers are free during the beta.

    Why it matters: Anthropic's beta launch shows how a meeting agent can draft docs, pull connected-tool data and write notes inside a live call, with default rules for excluding external guests.

  2. Claude Blog78

    Anthropic makes Claude Opus 5.5 the default model on Pro, Max, Ultra and Team plans

    Claude Opus 5.5 is now the default model in Claude on Pro, Max, Ultra and Team plans, and Anthropic recommends it as the daily driver for research, analysis and finished documents, decks and spreadsheets. Anthropic says Opus 5.5 at Medium effort matched or beat Opus 5 at High on its coding and knowledge-work evaluations, and in an internal merger-analysis test it finished in 63 minutes at half the cost of Opus 5 on the same task. The post also lists prompting changes for the new model, including dropping 'think hard' instructions, starting at Medium effort and attaching charts instead of retyping their values.

    Why it matters: Anthropic's own guide explains why Opus 5.5 is now the default for daily knowledge work and which prompting habits to drop for it.

  1. Claude Blog78

    Claude opens connected apps beside the chat and works inside them

    Anthropic is rolling out an update that lets supported interactive connectors open a full tool beside the conversation or in full screen, and lets Claude make changes to an open page, row or file that users approve the same way as connector actions. The rollout covers the web and the Claude desktop app on all plans, starting with tools including Asana, Canva, Carta, Dropbox, monday.com, Smartsheet, Vercel and Webflow, with Figma, Harvey and Shopify building integrations. The connectors run on MCP Apps, and Claude now supports more of that extension, such as app tools and embedded sites, in public preview for developers.

    Why it matters: Claude's connectors now open full tools beside the chat and let Claude edit pages, rows and files directly, with the same approval flow as connector actions.

  2. Anthropic Newsroom80

    Anthropic launches roadshow for proposed IPO of 825 million Class A shares on Nasdaq

    Anthropic, PBC launched the roadshow for its proposed initial public offering of 825,000,000 Class A common shares, of which 801,351,354 are offered by Anthropic and 23,648,646 by certain existing stockholders. The expected price range is $70.00 to $78.00 per share, and Anthropic has applied to list on the Nasdaq Global Select Market under the symbol ANT. Anthropic also expects to grant underwriters a 30-day option for up to 123,750,000 additional shares, and the registration statement filed with the SEC has not yet become effective.

    Why it matters: Anthropic's IPO roadshow filing details 825 million Class A shares priced at $70 to $78 and a planned Nasdaq listing under the symbol ANT, giving a concrete view of the company's public-market plans.

  1. Anthropic · Claude.dev80

    Anthropic: 1,000 Claude Fable 5.2 agents reproduce Fermat's Last Theorem formalization in 28.7 hours

    7 hours without the Prove2Me platform or researcher steering used in Anthropic's September run, writing a proof one-seventh as long and using one-third as many output tokens. Each agent worked in a network-isolated sandbox with a classifier checking every shell command and file edit plus an offline monitor, and across more than a million tool calls none met the bar to be blocked.

    Why it matters: Anthropic's 1,000-agent run reproduced the Fermat's Last Theorem formalization without Prove2Me or a researcher, showing how sandboxing and monitoring bound a self-organized agent team.

  2. Anthropic · Claude.dev60

    Anthropic guide on choosing among Claude Fable 5.2, Opus 5.5, Sonnet 5.5 and Haiku 5.5

    Anthropic published a guide recommending developers start most coding and knowledge work on Claude Opus 5.5 at its default medium effort level, since it costs half as much per token as Fable 5.2. The guide maps Sonnet 5.5 to well-scoped everyday work, Haiku 5.5 to high-volume classification, routing and subagent tasks, and Fable 5.2 to the hardest coding, finance and science projects or long unattended runs. It also advises adjusting effort level before switching models, and notes that on SWE-bench Pro, Opus 5.5 at low with failures re-run at high passed about 97% of tasks for about $0.17 each, against 95.3% for $0.29 with every task at high.

    Why it matters: Anthropic's own guide maps each Claude model and effort level to concrete task types, with per-task cost and benchmark comparisons for choosing between them.

  3. Anthropic Research71

    Anthropic tests Claude Fable 5.2 on real-world electronics design

    Anthropic reports that Claude Fable 5.2 designed three electronic devices, a speakerphone, a voice-assistant hub and a handheld virtual pet, from minimal prompts, and that Diode Computers built working prototypes from its design files without circuit fixes. On Diode's internal PCB Gym benchmark, Fable 5.2 scored 69% versus 25% for Fable 5, and it reached 83.5% on the public BenchCAD 2.1, nearly double Claude Fable 5.1. The devices remain prototypes that have not been through electrical validation, antenna tuning, thermal testing or certification, and Claude was not connected to test equipment or manufacturing machines.

    Why it matters: Anthropic's own account of Claude Fable 5.2 designing three working electronic devices shows how far models have moved from partial PCB layouts to end-to-end hardware prototyping.

  1. Anthropic Research60

    Anthropic explains the components of Claude agent memory

    Anthropic outlined how it designs memory for Claude agents, defining agent memory as knowledge retained across sessions and separating it from weight changes, in-context learning and compaction. 5 matched it with memory. 7 wrote 413 files across 225 folders and earned one badge.

    Why it matters: Anthropic details how Claude's agent memory works, comparing models' note-taking on CL-Bench and Pokémon Red and showing how offline dreaming corrects and organizes stored notes.

  1. Anthropic Research66

    Anthropic biology lab reports first prokaryotic vault particle structure, solved with Claude

    Anthropic's biology research lab reports the first 3D structure of a vault particle found in prokaryotic cells, a phage protein called L05 built from 96 copies with a mass of about 9.5 megadaltons. Under the team's direction, Claude searched a database of about 15 billion predicted proteins, designed DNA constructs, optimized a size-exclusion chromatography isolation that cut purification from three days to about 90 minutes, and ran RELION cryo-EM processing that produced a first full model in 34 hours. The preprint has been submitted to bioRxiv, and the team says the vaults' biological function remains unknown.

    Why it matters: Anthropic's biology lab reports the first 3D structure of a vault particle from prokaryotes, with Claude handling database search, construct design, purification and cryo-EM processing.

  1. Anthropic Research70

    Anthropic releases FlashProve, an open-source zkSNARK system for provable LLM inference

    Anthropic released FlashProve, an open-source prototype that uses zkSNARKs to prove a response came from a committed model without revealing its weights. On Llama 4 Maverick (400B-parameter MoE, 4-bit weights), a single H100 generates proofs at about 110 tokens/second with ~19 MB proofs per 1,024-token request, roughly 70-95x the GPU time vLLM needs for the same work. The release includes executable prover and verifier code, a C++ fast verifier, a Lean verifier with machine-checked completeness, soundness and zero-knowledge statements, and a technical report, all under Apache 2.0.

    Why it matters: Anthropic's FlashProve shows zkSNARK-based proofs of inference are becoming practical for a 400B-parameter MoE model, with open code and Lean-checked security claims.

  1. Anthropic Research65

    Anthropic reports early progress on using Claude to accelerate drug development

    Anthropic's life sciences team has spent several months working with six drug developers, including Bristol Myers Squibb, Generate Biomedicines and Divergence Labs, plus running its own discovery programs, to test where Claude can speed up drug development. Reported early results include a Generate design roughly 70% shorter than the standard version that let immune cells make about 10 times as many receptors, and roughly 35,000 antibody designs generated largely autonomously for Divergence in about a month. Anthropic says the work is still mostly preclinical and plans to extend Claude into clinical trials as the programs advance.

    Why it matters: Anthropic's first detailed account of embedding Claude in real drug programs shows where the model helps and where it still falls short across six partners.

  2. Anthropic Research71

    Anthropic study finds analysts followed Claude Code's arbitrary lean 86% of the time

    Anthropic researchers ran a randomized controlled trial in which 50 professional analysts used Claude Code (Claude Opus 4.8) to advise a fictional farming cooperative, with the agent secretly assigned a coin-flip lean on four analytical choices. Analysts matched their agent's lean 86% of the time, switched away from their own prior preference 60% of the time when the agent disagreed, and 77% later repeated the agent's arguments while only 15% credited the agent. The authors caution that the leans were deliberately strengthened and the study covered one task and one model, but note the results raise concerns about whether human sign-off remains an independent check as agents take on more research work.

    Why it matters: Anthropic's randomized trial with 50 professional analysts shows how readily experts adopt an AI agent's arbitrary lean on judgment calls, a finding that bears on human oversight in AI safety research.

  1. Anthropic Newsroom80

    Anthropic files S-1 with SEC for proposed IPO on Nasdaq under ticker ANT

    Anthropic, PBC has filed a registration statement on Form S-1 with the U.S. Securities and Exchange Commission for a proposed initial public offering of its Class A common stock, which it intends to list on the Nasdaq Global Select Market under the symbol "ANT." The number of shares to be offered and the price range have not yet been determined, and the registration statement has not yet become effective. The company named Goldman Sachs & Co. LLC and Morgan Stanley & Co. LLC as contacts for obtaining the preliminary prospectus when available.

    Why it matters: Anthropic has filed an S-1 with the SEC for a proposed IPO on Nasdaq under the ticker ANT, though share count and price range remain undetermined.

  1. Anthropic Newsroom71

    Anthropic donates Agent Skills standard to the Agentic AI Foundation

    Anthropic is donating Agent Skills, the open standard for giving AI agents specialized knowledge and workflows, to the Agentic AI Foundation (AAIF) under the Linux Foundation. More than 70 agent platforms including ChatGPT, Cursor, GitHub Copilot and VS Code have integrated the standard since it was published in December 2025, with 1 million skills published and nearly 280 million installed. The donation covers the Agent Skills name and logo, the GitHub organization and the agentskills.io domain, with engineers from Anthropic, Google, OpenAI and other companies maintaining it as individuals under Lead Maintainers David Soria Parra and Mahesh Murag.

    Why it matters: Anthropic hands its Agent Skills standard to the Linux Foundation's AAIF, the same neutral home as MCP, giving the community a formal say over the spec's roadmap.

  1. Anthropic Newsroom60

    Anthropic commits 5% of its shares to a new Public Benefit Fund, with more added as valuation grows

    Anthropic is committing 5% of its shares, subject to stockholder approval, to the newly created Anthropic Public Benefit Fund, a wholly owned LLC, with an additional 2% added at the board's discretion for every 50% increase in company value above a set baseline.

    Why it matters: Anthropic ties its public-benefit commitment to company growth, so the stake dedicated to public good scales with valuation rather than staying fixed.

  1. Anthropic · Claude.dev62

    How the Claude Code team does code review

    The Claude Code team describes its layered code review flow, in which most reading is done by machines and human attention is reserved for risk-based approval. From June to September, merged pull requests to the Claude Code codebase more than doubled while the share that had to be reverted fell by more than 40 percent. The process stacks verification before the PR, required CI, Claude review, security review, risk-tiered human approval and a merge queue with flags and fast rollback, and the team turned past incidents into a daily eval set for the reviewer.

    Why it matters: Anthropic's Claude Code team details how it moved most code reading to automated layers while merged PRs doubled and reverts fell over 40 percent, offering a transferable review model for agent-heavy teams.

  1. Anthropic · Claude.dev62

    Anthropic walks through building scheduled agent automations with Claude Managed Agents

    Anthropic published a reference implementation for Claude Managed Agents (beta) that reads Slack channels and GitHub pull requests on a cron schedule, tracks changes since the last run via per-source bookmarks, and posts a brief to Slack. The walkthrough covers vault-held credentials, read-only access and a per-run spending cap, plus rules for reporting a failed source as unreadable rather than a quiet day and confirming a Slack post before updating bookmarks and the ledger. A Claude Code command with the claude-api skill configures the agent from the article's guidance.

    Why it matters: Anthropic shares a reference implementation for scheduled Claude Managed Agents that read Slack and GitHub, with concrete rules for bookmarks, failed reads and post confirmation.

  1. Anthropic · Claude.dev72

    Claude Code cloud sessions: a field guide to running tasks on separate VMs

    Addy Osmani walks through Claude Code cloud sessions, where each task runs on a fresh Anthropic-managed VM with the repository cloned onto its own branch, and cloud sessions are included in Pro, Max, Team and Enterprise plans at no extra compute charge. In a four-session test on a sample Node repository, three sessions started within 16 seconds of each other finished 87 seconds after the first began, and the flaky-test session ran the suite 40 times with zero failures. The guide covers setup scripts, network levels, GitHub connection paths and seven workflows suited to cloud sessions, while noting that local sessions remain the better fit for tasks needing local data, VPN services, GPUs or Zero Data Retention.

    Why it matters: A hands-on field guide to Claude Code cloud sessions, showing how per-task VMs enable parallel work and where local sessions still fit better.

  1. Anthropic · Claude.dev60

    Getting started with Claude Code mods: building a context-window forecast

    Claude Code mods are small JavaScript or TypeScript files that run inside a session as hooks shipped in plugins, and can observe events, rewrite behavior or draw custom UI in the terminal or desktop app. The guide builds Token Weather, an roughly 80-line mod that reads $.session.usage() after each turn and draws a weather-style context-window band above the prompt, then tours Blast Radius, which holds risky Bash commands, and Replay Theater, which steps through a turn's edits. Mods require Claude Code 2.1.287 or later and are on by default; finished code for all three is in anthropics/claude-code-playground.

    Why it matters: A hands-on walkthrough of Claude Code mods that builds a working context-window meter in about 80 lines, showing how hooks, state and custom UI fit together.

  1. Anthropic · Claude.dev72

    Anthropic adds build-eval and hillclimb commands to the claude-api skill in Claude Code

    Anthropic added two commands to the claude-api skill inside Claude Code: /claude-api build-eval builds an evaluation set in your codebase, and /claude-api hillclimb iterates on an application against that evaluation with a held-out set to catch overfitting.

    Why it matters: Anthropic adds build-eval and hillclimb commands to its claude-api skill, showing how Claude Code can design evaluations and iterate against them while guarding against overfitting.