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November 12Thursday
  1. Databricks Blog58

    How Block uses Buzz and Databricks Unity Gateway to run collaborative AI agents

    Block built Buzz, an open source collaboration workspace where employees and AI agents work together in group discussions, focused conversations and one-on-one exchanges, and uses Databricks Unity Gateway as the model access layer. Employees can create agents, pick the model or coding harness behind each one, and select Databricks as their inference provider to reach frontier models from OpenAI, Anthropic and Google plus select open-weight models through a single integration. Block engineers are also experimenting with multi-agent setups where a more capable model coordinates agents running smaller, more efficient models, and have built an internal approach to benchmarking these agent teams.

  2. Claude Blog40

    Anthropic's Claude Tag guide for startups: top Slack channels and use cases

    Anthropic published a Claude Tag (beta) guide for startups, based on conversations with eight high-growth companies about where they deploy the Slack-based agent first. The guide covers five common setups — on-call triage, thread-to-PR, company brain, self-serve data, and reporting — plus a getting-started checklist. Cited results include a PR opened 21 minutes after a Slack mention and 134 pull requests merged from Slack threads at NavigateAI.

  3. 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.

  4. 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.

  5. Claude Blog56

    Anthropic opens private beta of self-hosted Claude Managed Agents

    Anthropic released self-hosted Claude Managed Agents in private beta, letting developers run the full agent service, including harness, sandboxes, credentials and session history, in their own cloud or on-premise environment. Model requests can go to Anthropic directly, to Amazon Bedrock, Google's Agent Platform or Microsoft Foundry, or through the customer's own gateway, and session history stays in the customer's database. The company says the design keeps the agent loop and vault secrets outside the sandbox, supports allowlists of permitted hosts, and exports a full record of each session over OpenTelemetry.

  6. Claude Blog58

    Anthropic launches Claude for Manufacturing with 17 skills and Autodesk, Infor, Microsoft 365 and NetSuite connectors

    Anthropic launched Claude for Manufacturing, a plugin with 17 skills covering sales, quality, operations, supply chain, design and setup, from drafting job quotes to diagnosing a stopped machine. The plugin pulls from a manufacturer's own records through connectors to Autodesk Fusion, Infor, Microsoft 365 and Oracle NetSuite, and each skill ends at a human review step before output reaches a customer or supplier. Anthropic cites a 2025 Manufacturing Leadership Council survey in which 79% of manufacturers said they enter data manually, and says it plans to add more manufacturing skills over time.

  7. Claude Blog31

    J.Crew launches Style Advisor AI stylist built with Claude Code

    J.Crew launched Style Advisor, an AI stylist on JCrew.com that recommends complete outfits rather than single products, available now for women's and men's styles in the U.S. J.Crew's team built it with Claude Code using multiple Claude models: Claude Fable 5.1 to plan the stylist reasoning, Claude Opus 5.5 for the prototype, Claude Sonnet 5.5 as the stylist in each conversation, and Claude Haiku 5.5 for quick tasks. Every recommendation is drawn from looks created by J.Crew's own stylists for catalog shoots.

November 11Wednesday
  1. OpenRouter Announcements58

    OpenRouter guide: fixing OpenAI and Claude 429 rate limit errors

    OpenRouter published a guide on handling 429 Too Many Requests errors from OpenAI, Anthropic and its own API, testing three fixes on a 60-prompt batch. The OpenAI Python SDK's default retries left 23 of 60 requests failed in 12 seconds, while a retry that waits for Retry-After or X-RateLimit-Reset completed all 60 in 89 to 92 seconds in Python and 106 to 218 seconds in TypeScript. A models fallback finished all 60 in 13 seconds for $0.000066, and with provider failover on, all 150 pinned-provider requests succeeded where up to 32 failed with fallbacks off.

November 10Tuesday
  1. Claude Blog34

    How Curative built a national provider network with agents on Claude

    Curative built a hierarchy of agents on Claude to sign provider contracts about 50 times faster than its team did in 2025, reaching 23,000 contracts signed with its agent Gwen and 2,000 to 2,400 new contracts a week. Gwen handles one provider deal per run, mostly on Claude Opus, while a Sonnet rate reviewer clears about two-thirds of its above-template rate requests and a Haiku judge reads every message before it is sent. Each contract takes about 20 million tokens, roughly a tenth of the original cost, and Curative's contracting team has grown from 45 to about 55 people, each about 2.5 times as productive.

  2. 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.

  3. 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.

November 9Monday
  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.

November 6Friday
  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.

  2. Anthropic Research36

    Anthropic: Teaching AI to build scientific models

    Anthropic research argues that AI systems can now derive equations like the Hodgkin-Huxley model in an afternoon, but fitting experimental data is not the same as understanding. The work breaks scientific modeling into building, constraining, and interpreting models, and notes that AI has made the most progress on constraining them, where Bayesian inference is the standard method for mapping all plausible parameter sets rather than a single fit.

November 5Thursday
  1. Anthropic Research58

    Anthropic studies how researchers use Claude across scientific fields and tasks

    Anthropic analyzed 207,049 Claude and Claude Code research sessions from August 2 to September 30, 2026, using privacy-preserving classifiers, and found scientists use Claude most for data analysis and writing and least for data gathering and ideation. Data analysis accounts for 33.7% of Claude sessions and 48.1% of Claude Code sessions, against 27.6% of researcher time, while ideation takes 4.2% and 2.1% of sessions versus 7.1% of researcher time. The report estimates that wide adoption of current capabilities could roughly double research output in some fields, and full automation of non-physical work could lift fields such as computer science and statistics as much as 15-fold.

November 4Wednesday
  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.

November 2Monday
  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.

October 28Wednesday
  1. Anthropic Newsroom36

    Anthropic expands AI for Science program to foundations and research institutions

    Anthropic is expanding its AI for Science program, which provides free Claude credits to researchers, to 20 scientific foundations, institutions, and research groups worldwide. Partners include the US National Science Foundation, the Simons Foundation, the Wellcome Sanger Institute, and the Space Telescope Science Institute. The program, launched in May 2025, also supports projects such as the Model Hardware Standard with HHMI Janelia, currently in research preview.

October 27Tuesday
  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.

  3. Anthropic Newsroom58

    Anthropic expands GSA partnership with 40% Claude discount for government agencies

    Anthropic expanded its partnership with the General Services Administration through a new agreement giving government partners a 40% discount on Claude Enterprise, Claude for Government and the Claude API, extended for the first time across every product surface and to state, local, tribal and territorial governments. Anthropic estimates the discounts will save the government $1 billion, with no minimum spend commitment, and is launching a dedicated program to help agencies implement Claude. About 500 US federal, state and local government organizations now use Claude, and weekly Claude for Government active users are up about eightfold since February.

October 26Monday
  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.

October 22Thursday
  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.

  2. Anthropic Newsroom28

    Anthropic Opens Call for Guest Investigators in the Life Sciences

    Anthropic is inviting principal investigators and their research groups at academic institutions, nonprofits, and government labs to apply for 8–12 week guest investigator projects using Claude in areas such as causal human biology, structural and computational molecular biology, medicinal chemistry, drug discovery, and clinical science. Anthropic will run its models and harnesses at no cost, and outputs will be published with open-source data and code while investigators retain rights to their data. Applications are open for approximately 14 days, with selected participants notified by email about 14 days after the close.

October 21Wednesday
  1. Anthropic Newsroom29

    Physicist Christopher Stubbs joins Anthropic's Long-Term Benefit Trust

    Experimental physicist Christopher Stubbs, former Dean of Science at Harvard University, has joined Anthropic's Long-Term Benefit Trust as its first physicist. Stubbs helped discover the accelerating expansion of the universe and has advised the US government on national security and arms control. He joins Chair Neil Buddy Shah, Richard Fontaine and Ben Bernanke on the Trust, which can appoint a majority of Anthropic's board.

October 18Sunday
  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.

October 15Thursday
  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.

October 8Thursday
  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.

October 6Tuesday
  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.

October 1Thursday
  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.

September 28Monday
  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.

  2. Anthropic · Claude.dev82

    Anthropic releases Claude Sonnet 5.5 with unchanged per-token pricing and 30% faster output

    Anthropic released Claude Sonnet 5.5, the second model in the Claude 5.5 family after Opus 5.5, which the company says is smarter, more efficient and 30% faster than Sonnet 5 at the same per-token price. Because it typically needs fewer tokens per task, Anthropic says most work costs up to 30% less, and the model ships with a native 1M-token context window, 128k max output and thinking on by default. The release guide lists breaking changes for Sonnet 5 users, including replacing disabled thinking with the between_tools setting, swapping forced tool_choice for auto plus strict tools, and moving computer use to the computer_toolset_20260801 toolset.

    Why it matters: Anthropic's Sonnet 5.5 keeps Sonnet 5 pricing while cutting per-task token use, and the migration notes show what changes for teams already building on Sonnet 5.

September 9Wednesday
  1. Factory26

    Factory launches on Claude Marketplace, bringing autonomous software development to enterprises

    Factory is now available on Anthropic's Claude Marketplace, letting enterprise customers apply their committed Anthropic spend toward Factory without a separate buying cycle. Factory automates the software development lifecycle, covering planning, implementation, testing and security, and supports multiple enterprise deployment models. Its customers include NVIDIA, Adyen and Ernst & Young.

July 27Monday
  1. Vapi Blog22

    Anthropic and Vapi Webinar Q&A: How the Claude Haiku Ride-Booking Voice Agent Was Built

    Vapi published answers to questions from its webinar with Anthropic on voice AI, detailing the live ride-booking demo agent built on Vapi with Anthropic's Claude Haiku and the Layla v2 voice. The agent used five tools — estimate, book, check status, cancel and end call — plus smart endpointing and a conservative interruption threshold to reach sub-second turns. Agents running Claude on Vapi handled nearly 5M calls in the past 30 days across 50+ languages.

June 30Tuesday
  1. Modal Blog66

    Anthropic launches Claude Science with Modal as scalable compute backend

    Anthropic launched Claude Science on June 30, an AI workbench where life sciences researchers run computational workloads directly inside a conversation with Claude. Modal integrates as the compute backend: workloads needing GPUs or many concurrent CPUs route automatically to Modal sandboxes from a researcher's connected workspace, while default execution stays sandboxed on the local machine. Modal cites fan-out virtual screening across hundreds of containers, per-step GPU access for models like ESMFold2, shared Modal Volumes storage and reproducible Modal Images, and commits up to $100,000 in compute for Anthropic's AI for Science Claude Science Cohort at $500–$2,000 per project, with applications open through July 15, 2026.

    Why it matters: Modal's post explains how Claude Science routes GPU and parallel workloads to Modal sandboxes, with concrete life-science examples and a compute grant for academic labs.

June 15Monday
  1. Modal Blog34

    Modal Product Updates: VM Sandboxes, Regional Routing, RBAC and More

    Modal shipped a batch of platform updates, including alpha VM Sandboxes that run a real Linux kernel to support Docker containers, eBPF, systemd and cgroups. Functions can now route through US West, EU West or Asia Pacific South instead of the default US East region, and RBAC is available to all Team and Enterprise plans. Sandbox readiness probes are now GA, and the Python SDK 1.5.0 and JS/Go SDK 0.8.0 set a 30-day default snapshot TTL.

May 19Tuesday
  1. Modal Blog55

    Modal launches first-class Sandboxes integration with Claude Managed Agents

    Modal announced a first-class integration between Modal Sandboxes and Anthropic's Claude Managed Agents, letting all tool calls run in a self-hosted Modal Sandbox while Anthropic's managed agent loop handles session state. Modal cites fast cold starts on custom images, snapshot and volume persistence, burst pricing with no idle costs, short-lived connect tokens, and upwards of 100,000 concurrent sandboxes per customer. The company also published two reference examples, a CLI agent and a Slack bot, on the same Modal plus Managed Agents backbone.

June 18, 2025Wednesday
  1. Vapi Blog22

    Claude vs ChatGPT: The Complete Comparison Guide

    Claude and ChatGPT are compared across conversational quality, context memory, speed, features, creative writing, research, pricing, and interface. Claude handles up to 200,000+ tokens for Pro users and excels at creative writing and nuanced conversation, while ChatGPT supports 128,000 tokens, responds in 2-3 seconds versus Claude's 5-10 seconds, and offers image generation and Custom GPTs. Both Pro tiers cost $20 per month, with Claude Max at $100-$200 and ChatGPT Pro at $200.