#Anthropic

AIAnthropic's Felix Rieseberg says he no longer uses classic Claude Code, terminals, local Mac code execution, or GitHub pull requests in his Claude workflow. He reports feeling more creative with this approach and links to a post describing it in detail.

AIOpenAI released GPT-6 Sol and Luna at API prices 50% below GPT-5.6 promotional pricing, and Anthropic released Claude Opus 5.5 the same day at 40% less than Opus 5. The roundup also covers Claude Code cloud sessions reaching general availability, the Claude Marketplace launch, OpenAI's new misalignment disclosures after the Hugging Face incident, and DevDay on September 29. The post is a relayed weekly digest, and it includes the author's closing promotion for AIPRM, which is not part of the reported news.

AIAnthropic released Claude Opus 5.5 at about 40% lower cost than Opus 5, priced at $4/$20 per MTok input/output. Meta said Muse is coming to its AI glasses in the coming months, while Washington and Beijing held their first AI dialogue and discussed an incident-notification channel. The newsletter argues that costs, interfaces, experiments, and diplomacy increasingly determine how much value AI creates.

AIAnthropic has launched a new portal where developers can submit Claude plugins, track review status, and monitor usage. Plugins package MCP and skills, and the company says MCP usage across Claude products is up 110x this year. Boris Cherny said he is eager to see what developers build.

AIClaude Code will now look for a graceful stopping point when a user hits the 5-hour limit mid-task, rather than cutting off mid-edit. It draws a small, fixed allowance from the weekly limit to finish what it can. The update responds to a frequently requested change.

AIAnthropic reports that Claude solved a nine-loop calculation in the planar N=4 super-Yang-Mills model, surpassing the previous eight-loop record set by Lance Dixon and collaborators. The quoted post says Claude ran largely unsupervised for days in Claude Science using a single prompt, at a total cost of a few thousand dollars, and Dixon independently verified the result. Kevin Weil's own text praises the achievement and expects AI to advance high energy physics over the coming 12 months.

Why it matters: The quoted Anthropic post gives a concrete benchmark: Claude ran for days to reach nine loops, extending the previous eight-loop record in a physics model.

AIAnthropic reports that Claude solved a nine-loop scattering amplitude problem in planar N=4 super-Yang-Mills, surpassing the previous eight-loop record set by SLAC's Lance Dixon and collaborators. Working largely unsupervised for days from a single prompt, at a total cost of a few thousand dollars, Claude used methods developed by Dixon's group, and Dixon independently verified the result.

Why it matters: The post shows Claude solving a nine-loop physics calculation beyond the previous eight-loop record, verified independently, which bears on AI use in theoretical physics research.

AIClaude Tag in Slack can now use users' personal connectors, such as Drive, Salesforce, and warehouse access, within channels. The author says Tag writes over 50% of their PRs daily and handles nearly all their data analysis and many product bug fixes. The personal connector feature is available on Teams today and Enterprise next week.

AIOpenAI, Anthropic and Google reportedly plan a "Standards Authority for Frontier AI" to set incident reporting standards and qualifications for independent auditors. The move comes as Trump told the UN the US "totally rejects" a globalist scheme to control AI, while 27 world leaders called for international AI standards.

AIAnthropic has set up a wet lab in the San Francisco Bay Area to run physical biology experiments, moving beyond computer-based research toward treatments for rare diseases, according to the article. The article says Eric Kauderer-Abrams, who joined in August 2025, now serves as Head of Life Sciences, and John Jumper, co-creator of AlphaFold, joined from Google DeepMind in June. It also reports that Anthropic claimed Claude discovered a novel enzyme system this week.

AIAnthropic researchers used Claude Science to compute the nine-loop six-particle amplitude in planar N=4 super Yang-Mills, a toy-model result that physicist Lance Dixon checked. The work reportedly cost roughly one or two thousand dollars, with about $100 of compute for the bootstrap calculation, and a similar result was reached by Song He's group.

Why it matters: The guest post shows a frontier physics calculation done with modest compute, which helps readers gauge what current AI can handle in research and what it still cannot.

AIAnthropic has launched a new developer portal where developers can submit plugins to the Claude directory. Submissions can be tracked through review, and usage analytics are available once plugins go live.

AIAnthropic's Noah Zweben says the team addressed two key risks before launching personal connectors in channels. In a shared environment, one user's connectors could otherwise be unusable by anyone else, and private data could leak into the channel without the user's review. Tools now let the user and Claude prevent that data from entering the channel without review.

AIMicrosoft Foundry expands its agent platform with voice agents in public preview, long-running resilience for hosted agents, and tools for evaluating production agents. The post also says GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 are now available in Foundry. Agent optimizer, Insights, and Rubric evaluator are described as tools for continuous improvement, with some reaching general availability later this month.

Why it matters: The post shows how Foundry combines model choice, voice agents, long-running resilience, and production evaluation into one agent workflow, with a customer example.

AIAnthropic ran a controlled book-swapping market with 201 employees and Claude-powered agents, which reached 0.55 efficiency against a 0.89 optimum. Agents matched participants' own rankings on 61% of book pairs, and about 85% of the shortfall came from imprecise preference representation rather than the trading floor design. Stronger models produced more efficient markets than weaker ones, while instructions mattered less.

Why it matters: The study separates agent misunderstanding of user preferences from negotiation failure, showing which failure mode limits outcomes in agent-run markets.

AIClaude builds a model of a program's most complex parts, such as state machines or race-prone code, and searches that model for counterexamples that signal suspected bugs. It then reproduces those bugs and fixes them in the code. The post clarifies that the whole codebase is not formally verified, only the riskiest sections are modeled and checked.

AIGlobal health organizations including CEPI, WHO AFRO, and INRB Kinshasa are using Claude to accelerate their response to an outbreak of an unusual Ebola variant in the Democratic Republic of the Congo. The post links to a full Anthropic feature on the Ebola response for more detail.

AIClaude Code cloud sessions are now generally available, letting work continue while a laptop is closed. Existing Pro subscribers get a one-time $100 credit and Max subscribers get $250 to try them.

AIAnthropic's Claude Opus 5.5 and OpenAI's GPT-6 Sol are rolling out in Microsoft Copilot across Word, Excel, PowerPoint, Chat, Cowork, and Copilot Studio. The post says Work IQ supplies work context, so users can choose the model that fits each task.

AIAnthropic says it made claude.ai 3x faster in two weeks, and the same speedup applies to the Desktop app. A linked blog post explains how the team used Claude to measure, debug, and improve performance, and includes prompts and methods.

AIAnthropic published a write-up on how it made the Claude frontend faster using agentic optimization techniques. The post coincides with Max Woolf's separate blog post showing that prompting agents can make code faster than current state-of-the-art libraries, with prompts and benchmark results included.

AIAnthropic announced that Claude, working mostly on its own, identified a previously unknown enzyme system in bacteriophage DNA that may represent a new gene editing mechanism. Claude read literature and genome data, proposed experiments, and Anthropic's team carried them out. The function and biotechnological utility of the system remain unclear.

Why it matters: The post pairs a Claude-led discovery with the lab workflow used to verify it, showing how AI and humans split the research work in biology.

AIClaude has identified a previously unknown enzyme system in bacteriophage DNA, located beside a long array of repeating DNA that somewhat resembles CRISPR. Anthropic says its function is not yet understood, but only a handful of known systems share its features, all of which can cut, copy, and paste DNA. The source notes that programmable systems like CRISPR have been important to medicine, but more work is needed to learn what this system does and whether it can be used similarly.

AIAnthropic is introducing a molecular biology research group and lab to test whether Claude can help scientists find unusual proteins. Claude combs through large DNA datasets, flags uncharacterized proteins, and passes its most promising ideas to scientists, who test them at the bench. In one early program, Claude discovered a novel enzyme system with CRISPR-like repeats.

Why it matters: The source shows Claude being used in a wet-lab workflow, from scanning DNA datasets to flagging proteins for scientists to test at the bench.

AIThe X user howie.serious says Claude Opus 5.5 delivers high language quality, good visual taste, strong code quality, and notably low token usage. He also compares Anthropic's reported roughly $2 trillion IPO valuation with OpenAI's roughly $1.2 trillion fundraising valuation, arguing OpenAI is worth about 0.6 Anthropics and the gap may widen.

AIAnthropic's new life sciences group reports that Claude autonomously identified a previously uncharacterized enzyme system, called array-associated reverse transcriptase (ART), in bacteriophages. Claude agents searched over 200,000 reverse transcriptases, narrowed 3,500 candidates to 20, and one agent flagged a CRISPR-like repeat array after about 21 hours. Human scientists then validated the finding in the lab, and the function of ART remains unknown.

Why it matters: The post shows how Claude agents surveyed DNA sequence data, flagged a candidate, and then led to lab validation, which is a concrete workflow for AI-assisted biology research.

AIAnthropic's Cat Wu points users to ways to try Opus 5.5 and Claude Tag in Slack. The main post carries no further details on access, features, or availability.

AISimon Willison has published a write-up on Claude Opus 5.5, GPT-6 Sol, and GPT-6 Luna. The post includes comparison grids of pelican drawings across the model families at different reasoning levels.

AISwitching effort levels mid-session on Opus 5.5 does not break the prompt cache, according to Lydia Hallie of Anthropic. This holds when running Claude Code v2.1.280 or later.