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#Anthropic

All collected and published items, ordered by time. Picks are a selected subset.
10/9Fri
  1. The Decoder78

    Mathematicians call for a boycott of OpenAI as AI-generated proofs flood the field

    Some researchers in mathematics are calling for a boycott of OpenAI after the company released more than 700 AI-generated mathematical proof files at once. Fields Medalist Terence Tao reposted an AHM statement on his blog, saying the move was a display of power rather than an academic showcase. He argued that once problems are solved at scale by AI, the process cannot be reversed and may contaminate other lines of research.

    Why it matters: The backlash in mathematics to OpenAI's release of more than 700 AI proof drafts at once highlights tensions between AI and the academic community over attribution, verification, and pace.

  2. TechCrunch · AI38

    Anthropic updates usage policy to ban model abuse, election interference, and prolonged verbal abuse of Claude

    Anthropic updated its usage policy with new rules against election interference, weapon software, and surveillance, and explicitly prohibited prolonged verbal abuse of its models. The policy applies only to extreme cases in which users repeatedly and maliciously attack a model without a clear purpose; it does not cover ordinary user frustration, disagreement, or dark creative themes. It also prohibits using Claude to operate fake accounts, fabricate news outlets, or deceive voters.

  3. TechCrunch · AI78

    Google brings agent capabilities to Gemini, starting with enterprise customers

    At a Google Cloud event, Google announced a unified agent for Gemini that can accept goals rather than just instructions, plan tasks on its own, call custom skills and tools, and connect to internal enterprise systems.

    Why it matters: Google is turning Gemini into a unified agent that can be assigned goals and call tools autonomously, launching first for enterprise customers. Readers can use this to assess how enterprise agents are taking shape.

  4. Epoch AI · X42

    Can AI automate Epoch? We're introducing Epoch Automation Reports to evaluate frontier models on realistic, open-ended tasks drawn from our own work. Claude Fable 5.1 and GPT-6 Astra lead, yet they are far from fully automating Epoch’s work.

    Can AI automate Epoch? We're introducing Epoch Automation Reports to evaluate frontier models on realistic, open-ended tasks drawn from our own work. Claude Fable 5.1 and GPT-6 Astra lead, yet they are far from fully automating Epoch’s work.

  5. The Verge · AI58

    Anthropic updates usage policy to prohibit persistent abuse of Claude

    Anthropic updated its usage policy for the first time in more than a year, adding a ban on "persistent and needless abuse or cruelty" toward Claude. It says ending a conversation remains the primary enforcement measure. The clause applies only to extreme cases in which users repeatedly mistreat the model cruelly without an apparent purpose; it does not cover ordinary frustration, disagreement, dark creative themes, or model testing and research.

10/8Thu
  1. MIT Technology Review · AI22

    AI advances in robotics will not change your life anytime soon

    An article produced by MIT Technology Review with Aventine says that while Elon Musk claims Tesla Optimus could eventually automate nearly all human labor for as little as $20,000 per robot and predicts public sales before the end of 2027, many robotics researchers are skeptical. Yann LeCun said at Davos that no humanoid robotics company knows how to make robots smart enough to be truly useful.

  2. Latent Space82

    Anthropic releases Claude Haiku 5.5 at GPT-6 Luna pricing

    Anthropic released Claude Haiku 5.5, the first Haiku-series update in about a year. Its pricing matches OpenAI's GPT-6 Luna. On the same day, Anthropic also cut prices for Sonnet 5.5 and its subscription plans.

    Why it matters: The report brings together Haiku 5.5 pricing, independent evaluations, and token-usage data to help assess cost tradeoffs for small models in agent workflows.

  3. 量子位80

    Anthropic releases Claude Haiku 5.5, matching GPT-6 Luna on benchmarks while cutting prices by 90%

    Anthropic released Claude Haiku 5.5. Its official benchmark scores exceed GPT-6 Luna across the board, making it the new small-model gatekeeper, replacing DeepSeek V4.1 Flash and GLM-5.3-Flash.

    Why it matters: The source provides Haiku 5.5 benchmark scores, tiered pricing, and a migration checklist, helping readers judge which execution-layer tasks it can take on.

  4. Simon Willison78

    Anthropic releases Claude Haiku 5.5 at GPT-6 Luna pricing

    Anthropic released the fast, low-cost Claude Haiku 5.5 at $0.10 per million input tokens and $0.50 per million output tokens, exactly matching GPT-6 Luna, released by OpenAI last month. Above 100,000 tokens, Haiku 5.5 rises to $0.50/$2.50, while Luna does not rise to $0.20/$0.75 until 272,000 tokens.

    Why it matters: The author tested Haiku 5.5 pricing, tokenizer changes, and the cost and latency of different reasoning tiers, offering a basis for weighing it against GPT-6 Luna.

  5. The Decoder82

    Anthropic releases Claude Haiku 5.5 with prices cut by up to 90%

    Anthropic released Claude Haiku 5.5, its fastest and least expensive small model so far. Average prices are about 75% lower than Haiku 4.5; for prompts under 100,000 tokens, prices are up to 90% lower, while prompts above that threshold cost five times as much.

    Why it matters: The source provides Haiku 5.5's pricing table and comparisons across several benchmarks, helping readers assess the tradeoffs for cost-sensitive tasks.

  6. Mike Krieger · X76

    Claude Haiku 5.5 joins the 5.5 family with lower running costs

    Mike Krieger highlights Claude Haiku 5.5 as built for speed and efficiency, costing 75% less than Haiku 4.5. He describes Opus handling heavy thinking and Haiku handling high-volume work. The quoted @claudeai announcement calls it its cheapest, fastest, and most capable small model, with average running costs around 75% lower than Claude Haiku 4.5. https://twitter.com/claudeai/status/2107894039626277339

    Why it matters: The comparison with Haiku 4.5 gives a concrete cost reference for high-volume work, alongside the author's suggested division of labor between Opus and Haiku.

  7. Anthropic · X65

    Anthropic releases Claude Haiku 5.5

    Anthropic released its latest model, Claude Haiku 5.5. According to a post by @claudeai cited in the source, it is the company's cheapest, fastest, and most capable small model so far, with average operating costs about 75% lower than Claude Haiku 4.5.

    Why it matters: Anthropic officially released Haiku 5.5, highlighting an approximately 75% reduction in operating costs compared with the previous generation.

  8. Claude · X74

    Anthropic releases Claude Haiku 5.5 small model

    Anthropic introduced Claude Haiku 5.5, describing it as the cheapest, fastest, and most capable small model it has released. The company says running it costs around 75% less on average than Claude Haiku 4.5. No pricing figures, benchmarks, or availability details were given in the post.

    Why it matters: Anthropic's own announcement states the cost and speed positioning of Claude Haiku 5.5 relative to Haiku 4.5, giving readers the vendor's headline claims for the small model tier.

10/7Wed
  1. 量子位22

    Do any AIs still speak like people? Claude and GPT chain-of-thought reportedly use 'caveman language' to save tokens

    A QbitAI article complains that models such as Claude and GPT have become difficult to understand in coding contexts, using phrases such as 'ledger 15/15 all green' and 'one leg failed'. Online commenters suggest the main cause is chain-of-thought being compressed into 'caveman language' to save tokens, using 70% fewer tokens than plain language. The article says Opus 5.5 has improved its language ability, while Gemini is praised as one of the few models that still speaks naturally. CaveMan Skill, a GitHub project that teaches AI to speak in jargon, has 104K stars.

  2. Latent Space88

    OpenAI's internal model releases 722 math papers, claiming to solve 90 of 500 open problems

    OpenAI published mathematical results from an unreleased internal frontier model through a blog, GitHub repository, and posts. The release includes 722 manuscripts grouped into 372 related result families, drawn from an evaluation of about 4,000 research questions. Each result used an average of about three hours of ChatGPT Pro reasoning compute.

    Why it matters: OpenAI is producing mathematical results in bulk with an internal model, giving readers a view of the scale, compute cost, and outside criticism surrounding the work.

  3. Claude · X35

    The Every team runs as much work as possible through agents. To help the whole team share skills when a new model comes out, they built a company agent on Claude Managed Agents that everyone uses in Slack. Once it caught on internally, they released it to their subscribers.

    The Every team runs as much work as possible through agents. To help the whole team share skills when a new model comes out, they built a company agent on Claude Managed Agents that everyone uses in Slack. Once it caught on internally, they released it to their subscribers.

  4. Boris Cherny · X54

    Boris Cherny explains how he prompts Claude with goals, effort, and verification

    Boris Cherny recommends talking to Claude the way you would a coworker. For most tasks, he says there is no need for overly scaffolded or prescriptive prompts; give Claude a goal, and it will figure it out. He says prompts mattered a lot in the Sonnet 3.5 days. Now, he emphasizes communicating what you want it to do, how much effort it should spend, and how it should verify that it did the right thing.

  5. Anthropic · X58

    Anthropic expands Cyber Verification Program to give security professionals access to Claude Mythos 5.1, Opus 5.5, and Sonnet 5.5

    Anthropic announced an expanded Cyber Verification Program, giving verified security professionals access to Claude Mythos 5.1, Opus 5.5, and Sonnet 5.5 with safeguards tailored to defensive work. A new tier also permits authorized offensive security work such as penetration tests and red-team exercises.

  6. Boris Cherny · X24

    I asked Opus 5.5 to make an interactive website companion for the latest @AcquiredFM Home Depot episode. It came out pretty nice! Water color illustrations all drawn by Claude, too: https://claude.ai/artifact/RdE6uE7WozcP2MLfx3BDky Episode here: https://www.acquired.fm/episodes/home-depot

    I asked Opus 5.5 to make an interactive website companion for the latest @AcquiredFM Home Depot episode. It came out pretty nice! Water color illustrations all drawn by Claude, too: https://claude.ai/artifact/RdE6uE7WozcP2MLfx3BDky Episode here: https://www.acquired.fm/episodes/home-depot

  7. Simon Willison22

    Simon Willison tests Claude Opus 5.5's musical composition: generating playable text music

    Simon Willison asked Claude Opus 5.5 to design a simple text-based music format and build a playable artifact at the level of the original The Secret of Monkey Island soundtrack. The result was more evocative of Monkey Island than expected and surprisingly good. He speculates that a text model's ability to compose music may be an emergent capability, like 3D graphics in the past, that appeared only in recent months, but says more experiments with new and older models are needed to confirm it.