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Anthropic / Claude Latest news

Follow Claude models, Claude Code, Anthropic’s safety research, and company developments.

57 picksPast 30 days: 35 itemsTotal: 517 items

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Top picks archive · Page 2

Sep 25

Sep 25FriItems 21–40
  1. Kevin WeilAI score75

    Claude solves nine-loop scattering amplitude calculation past prior eight-loop record

    Anthropic 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.

    AIWhy 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.

  2. AnthropicAI score78

    Claude solves a nine-loop scattering amplitude problem beyond the eight-loop record

    Anthropic 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.

    AIWhy 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.

  3. Anthropic ResearchAI score67

    Claude computes a nine-loop physics amplitude that experts had not reached

    Anthropic 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.

    AIWhy 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.

Sep 24

Sep 24Thu
  1. Anthropic ResearchAI score60

    Anthropic study finds Claude agent trading limited by preference understanding

    Anthropic 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.

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

Sep 23

Sep 23Wed
  1. Dario AmodeiAI score76

    Claude Helps Discover a Possible New Gene Editing Enzyme System

    Anthropic 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.

    AIWhy 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.

  2. Anthropic · YouTubeAI score65

    Anthropic launches a molecular biology lab where Claude hunts for unusual proteins

    Anthropic 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.

    AIWhy 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.

  3. Anthropic NewsroomAI score73

    Claude agents discover a novel CRISPR-like enzyme system in bacteriophages

    Anthropic'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.

    AIWhy 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.

Sep 22

Sep 22Tue
  1. Tibor BlahoAI score88

    OpenAI launches GPT-6 Sol and Luna while Anthropic releases Claude Opus 5.5

    OpenAI released GPT-6 Sol and Luna, with API prices cut in half, while Anthropic released Claude Opus 5.5 at roughly Fable 5.1 level for 40% less than Opus 5. GPT-6 Sol and Luna cost $2/$10 and $0.10/$0.50 per million tokens, versus GPT-5.6 promotional pricing, and Opus 5.5 costs $4/$20 per million tokens. Sonnet 5.5 and Haiku 5.5 are announced for the coming weeks.

    AIWhy it matters: The post links OpenAI's GPT-6 Sol and Luna pricing with Anthropic's Claude Opus 5.5 launch, which helps readers compare the two vendors' current frontier offerings.

  2. Mike KriegerAI score67

    Anthropic launches Claude Opus 5.5, leading in coding and knowledge work

    Anthropic has launched Claude Opus 5.5, the first model in its new Claude 5.5 family. According to the quoted launch post, it performs at the level of Claude Fable 5.1 for most tasks and costs 40% less to run than Opus 5. The author says it leads in coding and knowledge work and praises its writing quality.

    AIWhy it matters: The quoted launch post gives a concrete cost comparison, useful for weighing Opus 5.5 against earlier Opus and Fable 5.1 models for routine work.

  3. Sam BowmanAI score75

    Anthropic's Sam Bowman says Claude Opus 5.5 is safer, reducing misalignment risk

    Sam Bowman says Claude Opus 5.5 is sufficiently safer than its predecessors that releasing it more likely than not reduces misalignment risks. The quoted @claudeai post introduces Claude Opus 5.5 as the first model in the Claude 5.5 family, performing at the level of Claude Fable 5.1 on most tasks at 40% lower run cost than Opus 5.

    AIWhy it matters: The post links a safety judgment to a model release, which is useful for readers weighing how Anthropic frames release decisions against misalignment risk.

  4. AnthropicAI score71

    Anthropic releases Claude Opus 5.5, the first model in its Claude 5.5 family

    Anthropic has made Claude Opus 5.5 available today, introducing it as the first model in its new Claude 5.5 family. According to the quoted @claudeai post, it performs at the level of Claude Fable 5.1 on most tasks and costs 40% less to run than Opus 5.

    AIWhy it matters: The post gives a concrete cost comparison against Opus 5 and names the model family, helping readers gauge the trade-off between price and performance.

  5. METR BlogAI score62

    METR's preliminary evaluation finds Claude Opus 5.5 is an incremental AI R&D gain over Fable 5.1

    METR's preliminary evaluation concludes that Claude Opus 5.5 likely gives slightly higher AI R&D productivity uplift than Fable 5.1 but is unlikely to fully automate AI R&D. The evaluation used five capability tasks over 10 business days of API access, and METR says Anthropic reviewed and edited the summary before sign-off.

    AIWhy it matters: The report separates two claims about AI R&D acceleration and discloses that Anthropic reviewed the summary, which helps readers weigh its independence and evidence.

Sep 21

Sep 21Mon
  1. Claude Apps Release NotesAI score62

    Anthropic launches Claude Opus 5.5, first model in its 5.5 family

    Anthropic has launched Claude Opus 5.5, the first model in its new Claude 5.5 family. The company says it performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5.

    AIWhy it matters: The release note gives a direct comparison to Claude Fable 5.1 and a 40% running cost reduction versus Opus 5, which helps readers weigh the tradeoff.

Sep 18

Sep 18Fri
  1. Anthropic NewsroomAI score62

    Anthropic partners with Accenture on embedded AI model evaluation

    Anthropic is partnering with Accenture, through its specialist AI business Faculty, on independent evaluation of frontier models, including red-teaming, alignment assessments, and safeguard testing. Anthropic and Accenture each expect to invest at least $1 billion in this capacity over five years. The source says embedded evaluators would have employee-comparable access, but standards for access and reporting, and a settled funding system, do not yet exist.

    AIWhy it matters: The source ties a new evaluation arrangement to an unresolved question of who funds and sets standards for independent AI evaluators, which is useful context for governance debates.

Sep 15

Sep 15Tue
  1. Claude Apps Release NotesAI score72

    Claude Cowork moves into every conversation, adding designs, slides, and docs

    Claude now makes Cowork capabilities available from any conversation without choosing a mode first, with chats, tasks, projects, connectors, and skills carrying over. Users can also create designs, decks, and docs in any conversation, including Claude Code and the Artifacts tab, and edit them with Claude.

    AIWhy it matters: The release merges Cowork tasks into ordinary chats and adds design, slide, and doc creation, changing how Claude users start larger work.

Sep 1

Sep 1Tue
  1. Anthropic · YouTubeAI score78

    Anthropic releases Claude Fable 5.1, an upgrade to its most capable model class

    Anthropic has released Claude Fable 5.1, the latest upgrade to its most capable class of models, and it is available everywhere today. The company says it handles complex, long-running, multi-step work and avoids shortcuts when fixing root causes of software issues. At lower effort levels, Fable 5.1 can match or beat Fable 5 at a much lower cost, according to Anthropic's benchmarks.

    AIWhy it matters: The source names the upgraded model class and its cost tradeoff at lower effort levels, which helps readers weigh it against the earlier version for their own workloads.

  2. Anthropic · YouTubeAI score72

    Anthropic releases Claude Fable 5.1 for complex, long-running tasks

    Anthropic has released Claude Fable 5.1, an upgrade to its most capable model class, and says it is available everywhere today. The company reports that at lower effort levels, Fable 5.1 can match or beat Fable 5 at a much lower cost. It is described as strong at complex multi-step work, such as long proofs and contracts with hundreds of cross-references, and at fixing root causes in software issues.

    AIWhy it matters: The source reports cost and effort-level tradeoffs for long-running tasks, helping readers judge whether the upgrade changes their workloads or budgets.

Aug 31

Aug 31Mon
  1. Claude Apps Release NotesAI score72

    Anthropic launches Claude Fable 5.1 and Claude Mythos 5.1 models

    Anthropic has launched Claude Fable 5.1 and Claude Mythos 5.1, which it describes as the world's most advanced models for coding and knowledge work. The release notes link to a blog post with more details, but the notes themselves give no benchmarks or specifications.

    AIWhy it matters: The source names two new model versions and points to a companion blog post, so readers can compare the release details there.

Aug 27

Aug 27Thu
  1. Epoch AI · The Epoch BriefAI score62

    Anthropic and OpenAI's 2026 revenue growth raises the question of how long it lasts

    Combined annualized revenue for OpenAI and Anthropic reached $105 billion by August 2026, up 3.5 times from $30 billion at the start of the year. The author argues the key question is whether this growth comes from continued capability progress or from diffusion that will saturate. At the 3 times annual pace, frontier AI revenue would take about six years to reach today's world economy size.

    AIWhy it matters: The piece tests whether OpenAI and Anthropic's hypergrowth reflects a temporary coding-agent spike or durable progress, using revenue scale to frame the question.

  2. Anthropic · YouTubeAI score62

    Anthropic and HHMI Janelia launch Model Hardware Standard for AI lab equipment

    Anthropic is building the Model Hardware Standard (MHS), a common way for AI models to connect to lab and manufacturing equipment and operate it with safety limits built into each device. MHS started as a collaboration between Anthropic and HHMI Janelia Research Campus and is launching as a research preview with partners across science, robotics, and manufacturing.

    AIWhy it matters: The source describes a standard for connecting AI models to lab and manufacturing hardware, which matters for anyone building automated experimentation workflows.