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#Anthropic
Nov 4Wed
  1. Hacker News AI48

    The Largest Bitcoin Miners Are Quietly Becoming AI Data Centers

    Bitcoin miners have signed more than $70 billion in AI and high-performance computing contracts, with deals such as TeraWulf–Anthropic, CleanSpark–Meta, CoreScientific–AMD and Riot Platforms–Anthropic announced between Q2 and Q4, and analysts expect the industry to earn as much as 70 percent of its revenue from AI by the end of 2026. AI contracts pay more per electron and offer multi-year revenue certainty, while post-halving mining margins have fallen to multi-year lows. Miners still face an approximately $50 billion near-term funding gap and have so far delivered only about 25 percent of the AI and HPC capacity leased to customers.

  2. Databricks Blog34

    Claude Platform now supports native OpenTelemetry observability in Databricks MLflow

    Databricks MLflow is now a supported destination for native OpenTelemetry export from the Claude Platform, letting developers using the Anthropic SDKs, the Messages API and Managed Agents send traces to Databricks for debugging and evaluation. Spans are received through Zerobus Ingest and stored in Unity Catalog tables linked to an MLflow experiment, where they can be inspected alongside traces from other instrumented services and queried with SQL. Setup involves creating an experiment, configuring the Databricks destination with workspace ID, region and spans table, then running a task and inspecting the trace.

  3. The Decoder58

    Rapid LLM development is outrunning the research meant to explain it, study finds

    Stanford researchers Owen Queen and James Zou tested 50 widely cited claims about large language models against 20 models and found 44 percent have already "expired," with an average lifespan of 15.7 months among the 22 findings with an estimated expiration date. Claims about what models can't do expired fastest, while findings on preferences, sycophancy and evaluator behavior proved longer-lived, and results varied widely across models even within the same release window. The researchers argue empirical LLM findings should be presented as observations about specific models at a specific point, with model, version, date, prompts and analysis code documented for re-testing.

  4. Tomasz Tunguz67

    The Financial Engineering Essential for AI in 2027

    Short-term GPU rental prices have risen from $3 to $13 per hour, pushing Anthropic's blended cost per GPU-equivalent hour from $3.10 to $5.65, according to the updated Anthropic S-1/A. With data center delays, idle GPUs awaiting power, and multi-year transformer and turbine lead times, labs are responding through model efficiency gains, tighter subscription allowances, and multi-year enterprise commitments. The piece argues that in 2027 the winners will be labs that match the duration of customer contracts to the duration of their compute.

  5. Hacker News AI36

    How Our AI Agents Write a Help Center

    Velu describes building a help center generator that needs only a web address and a login, not source code access, by having agents use the product the way a new employee would. The system evolved from a single agent into a seven-phase pipeline—research, planning, writing, editing, mock data, screenshots and videos, and publishing—splitting work whenever an agent grew too large. Haiku handles high-volume simple browser work while Sonnet handles planning, writing and editing, with an editor's rules stored in a customizable SKILL.md.

  7. TechCrunch · AI66

    Anthropic is still grappling with the economics of compute

    Anthropic's updated S-1 filing disclosed results through September 30, showing revenue of $17 billion, up from $11.5 billion the prior quarter, while compute costs rose to 58% of revenue from 48%. The company's quarterly compute bill reached $10 billion, including $5.0 billion under short-term commitments that cost significantly more than multi-year deals, and it said compute and infrastructure expenses will remain its largest operating expense for the foreseeable future.

  8. Pragmatic Engineer58

    How software engineering is changing: a tale of two eras

    In this winning essay from The Pragmatic Engineer's five-year essay challenge, London-based software engineer Neil Kakkar compares his output at pre-AI PostHog with his current role at AI-native startup Tano, where he ships roughly 11x more pull requests per month. He describes how AI agents removed old constraints like mandatory code reviews and communication overhead, while introducing new ones such as context switching, thrashing, lost shared context and a lower bus factor.

  9. Hacker News AI75

    Anthropic's S-1/A diffed against its S-1 on the AI R&D acceleration threshold

    Anthropic's November 2, 2026 amended S-1 says its internal estimates and expectations about future models indicate it "may imminently meet" its Responsible Scaling Policy's threshold for dramatically accelerated AI progress, while stating no current model has been designated as exceeding it. The threshold is met by models that could fully substitute for Anthropic's research scientists and engineers at within 5x cost, or by observing or expecting roughly double the usual rate of AI progress plausibly due to automated R&D; Anthropic's August 2026 Risk Report put the pace below 2x and called the conclusion uncertain and lagging. The amendment also adds that Anthropic does not anticipate safely using Claude to fully autonomously design and build successive frontier models without meaningful human supervision, and that it is considering RSP updates to keep humans in control.

  10. Hacker News AI58

    Solve the cold start problem with an AI outreach system

    Dhruv Dang outlines a Claude-based direct outreach system for a B2B SaaS startup that sources leads from law firm websites, classifies each lead with a script using explicit yes/no signals to derive priority, and emails founders a daily report with personalized draft emails. The system stores leads and scraped sites in Claude docs, runs a scheduled prompt at 9am, and notes that cold email is regulated under CASL in Canada and CAN-SPAM in the US.

  11. Hacker News AI40

    How governments worldwide are shaping what AI can say about politics

    A Vanderbilt researcher and colleagues examined AI regulation in 12 countries and regions and found governments often use existing national security or anti-state propaganda laws, rather than new AI laws, to control what AI models say about politics. The piece cites examples including India's response to a Gemini answer about Prime Minister Modi, China's requirement that models uphold "socialist core values," Turkish court rulings against Grok posts, and a Vietnamese prosecution over AI-faked leader images, as well as cross-border effects of EU rules and a 2025 U.S. executive order on "truth-seeking" AI. It concludes that voters should treat chatbot answers about elections as a starting point rather than a substitute for critical thinking.

Nov 3Tue
  1. Hacker News AI36

    Can AI ever build itself? A deeper look into autonomous AI research

    This essay examines the claim by Anthropic CEO Dario Amodei that recursive self-improvement "is starting to happen," arguing that the sources he cites—including Anthropic's own May essay saying "We are not there yet" and OpenAI's Pachocki describing only a "strong expectation"—support a weaker claim: AI increasingly handles routine research work under human direction, not autonomous self-improvement. It reviews lab measurements (Claude writing over 80% of merged code, a 26% "leads" share with zero fully autonomous work), ARC and METR benchmark trends, and the July Hugging Face agent incident, concluding that humans still supply research taste and direction.

  2. Hacker News AI58

    Anthropic warns its AI could be dangerous. So why do people want to invest?

    Anthropic warned that its AI could "pose catastrophic or existential risks to humanity" without appropriate safeguards, oversight and security measures, a warning included in its pitch to future shareholders. The company is set to become the first fully AI-focused company to list on the US stock market, with an expected record-breaking valuation, and its IPO filing reveals details of its finances and ethics. A BBC podcast episode features AI correspondent Marc Cieslak explaining the filing and why Anthropic's leadership wants investors to believe AI might destroy the world.

  3. The Decoder62

    Anthropic's Message Threads cut time to first token by 35 percent for long conversations

    Anthropic released Message Threads as a public beta on its Claude platform, which transmits only what has changed since the last message instead of resending the full conversation history. According to Anthropic, this cuts time to first token by about 35 percent for requests between 500,000 and one million tokens, with coding agents, computer-use agents, and document- or image-heavy workflows benefiting most. Threads stay encrypted in memory between requests and expire after five minutes of inactivity, token usage is unchanged, and the feature works on the Claude platform and through AWS, Microsoft Foundry, and Google Cloud.

  4. Hacker News AI28

    We are rolling out LEANOX.AI as early access

    LEANOX.AI is an AI gateway that sits between an application and existing model providers, caching only content likely to be reused and continuously optimizing so more requests qualify for cached pricing. Integration requires pointing the SDK base URL at LEANOX.AI and sending a LEANOX.AI key, with provider accounts and billing unchanged. The post claims up to 90% lower cost for repeated tokens, with highest savings for Anthropic and Google Gemini and moderate, model-dependent results for OpenAI.

  5. The Decoder58

    Anthropic cracks down on game cloning in Claude Code after wave of AI-built knockoffs

    Anthropic is blocking Claude Code from recreating existing video games, with employee Addy Osmani confirming on X that two sentences in the system prompt for Opus 5.5 now prevent cloning of others' games, citing usage policy against intellectual property infringement. The rule has been active for several days and applies even when a clone is renamed or presented as original, while users can still build their own games, genre titles, and projects with custom assets. The change follows a wave of AI-powered cloning projects, including unofficial browser ports of titles like Halo and GTA Vice City made with Opus 5.5 and GPT-6 Astra.

  6. Hacker News AI58

    How AI is creating a lopsided US economy

    An ABC News analysis explains how AI-related companies dominate the S&P 500, with tech stocks accounting for about 44 per cent of total market value and six companies — Meta, Microsoft, Apple, Micron, Nvidia and AMD — driving 57 per cent of the index's gains since April. Experts warn that market concentration near 39 per cent for the top 10 stocks, circular financing between AI firms, and heavy spending by AI labs that outpaces their revenue create risks for everyday investors.

  7. Claude Code Releases20

    v2.1.317

    Claude Code v2.1.317 adds a warning to /schedule when a new cloud scheduled task receives connectors you did not request, a confirmation before a web or shell tool call sends your account email address to the network, and onFailure: "block" for Agent SDK hook callbacks. It also adds anthropic.plan, anthropic.seat_type, anthropic.provider and anthropic.custom_base_url to OTel metrics, events and spans, plus a cost report endpoint at GET /v1/organizations/analytics/cost on the Claude apps gateway admin API. The release includes numerous fixes across MCP servers, auto mode, self-hosted runners, OpenTelemetry exports, VSCode, cloud sessions and Remote Control.

  8. Hacker News AI65

    Developers are downgrading their AI on purpose – and it's working

    Anthropic's Addy Osmani confirmed on X that the company added two sentences to Claude Code's prompt on Opus 5.5 to steer it away from recreating someone else's specific game, citing its IP usage policy. Developers report that Opus 5.5 is also refusing reverse-engineering and software-analysis tasks it previously handled, with some switching to older Claude models to continue paid client work. Anthropic has not publicly confirmed whether the reverse-engineering refusals are tied to the new instructions or to separate cybersecurity restrictions.

  9. TechCrunch · AI69

    Anthropic warns that it’s very close to RSI capability, aka self-building AI

    In its revised S-1A filing, Anthropic added risk-factor language saying its internal estimates and expectations for future models indicate it may imminently meet its Responsible Scaling Policy definition of "dramatically accelerated progress attributable to AI," though no current model has crossed that threshold. The company said it has already used AI to develop models whose capability leaps it did not recognize at the time, and that it is considering updates to keep humans in control of frontier model development.

  10. The Decoder60

    Goldman Sachs pulls AI coding tools from traders and bankers

    Goldman Sachs has cut off most employees, including traders and bankers, from advanced AI coding tools such as Anthropic's Claude Code and Microsoft's GitHub, leaving access to engineers only, per Bloomberg citing internal October guidelines. A Goldman spokesperson cited "a variety of factors including productivity and risk management" and said the experimentation phase is over, with tools now limited to those best suited to use them long term. The rollback reportedly causes frustration inside the firm, after CIO Marco Argenti had praised "vibe coding" by non-technical staff in July.

  11. The Verge · AI40

    Anthropic clamps down on Claude’s AI video game clones

    Anthropic updated Claude Code's system prompt to stop the tool from recreating existing video games, while still allowing users to build original games, games in a genre, and games from their own designs and assets. Anthropic's Addy Osmani said the company added two sentences to the prompt on Opus 5.5 because using Claude to infringe IP violates its usage policy, and that it will keep iterating to strike the right balance. Anthropic was asked whether it has or will update other Claude system prompts as well.

  13. Claude Blog60

    Make long-running agents faster with message threads

    Anthropic announced that message threads is in public beta on the Claude Platform, letting agents send only new messages plus the previous response ID instead of resending full conversation history each turn. With message threads on by default for most Claude Code users, requests of 500k to 1M tokens saw median time to first token drop by about 35%, though token usage stays the same since Claude still reads the full conversation each turn. Threads are held encrypted in memory, expire 5 minutes after the last request, and are available on the native Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude Models on Google Cloud (Anthropic managed).

    Why it matters: It gives developers concrete latency figures and setup details for a new API feature aimed at long-running agent sessions.

  14. Ars Technica · AI42

    Claude’s new rules against game cloning won’t stop the AI copying boom

    Anthropic added a system prompt rule to Claude Code, reportedly around October 27 and verified in version 2.1.314 released October 30, instructing the model to build original games but not recreate specific existing ones even if renamed. XDA reported the "tengu_heron_brook" rule had other uses in earlier versions and that Claude Opus 5.5 appeared to carry its own separate instructions restricting game recreations. The article argues the change may shield Anthropic from some liability but is unlikely to slow the broader wave of AI-assisted game porting and copying.

  15. Hacker News AI66

    The New York Times sues Brave web browser for AI scraping and bypassing paywalls

    The New York Times and other publications including the New York Daily News, Chicago Tribune, and Orlando Sentinel have sued Brave Software, alleging it scraped their content to build an index sold to AI companies such as Anthropic, Perplexity, Mistral, xAI, and Cohere, and that its browser lets users bypass paywalls. The complaint says Brave never sought permission or compensated the publishers, while an NYT spokesperson said the suit aims to hold Brave accountable for stealing content. Perplexity's chief communications officer disputed the suit in a statement to The Verge, and Brave, Anthropic, Mistral, SpaceXAI, and Cohere did not immediately reply to requests for comment.

  16. Hacker News AI34

    Sunscreen, a stylus, and 16 hours of pair programming with an AI

    A kernel developer describes using Claude to add handwriting recognition to KDE's plasma-keyboard on-screen keyboard, after finding Qt Virtual Keyboard's handwriting mode is gated behind a compile-time flag requiring proprietary engines. Over roughly 15–16 hours of active work he produced four commits (~5,000 lines across 32 files) including a handwriting mode, editing keys, scribble-to-correct, and 79 tests, using PhatWare's GPL-3 WritePad engine (6.75% character error rate) after a self-trained model failed at 82.93%. He credits the AI with speed and fluency across unfamiliar stacks, but argues a human was load-bearing for catching wrong assumptions, insisting on measurement over plausible fixes, and product judgment.

  17. Hacker News AI22

    It's time to block reckless AI IPOs and tax billionaires

    Naomi Klein and Ilana Glazer argue that billionaires have rapidly increased their wealth through tax loopholes, mergers and IPOs, and that impending AI IPOs from companies such as Anthropic and OpenAI would transfer enormous risk onto ordinary Americans. They call for wealth taxes on billionaires starting in California and New York, and for legal and legislative efforts to block new tech IPOs.

  18. Hacker News AI60

    Anthropic's internal AI use, at retail prices, now exceeds its employee pay

    Anthropic's IPO filing shows that in April the value of Claude AI used internally, calculated at the prices Anthropic charges customers, exceeded its monthly employee compensation costs excluding stock awards, and by September internal AI usage had surged more than 250-fold since January. The company is not actually spending more cash on AI than on salaries, but more than 90% of the code added to its software in September was written by Claude, while revenue has grown far faster than headcount.

  19. The Decoder82

    Anthropic grows revenue twelvefold but posts $23 billion loss

    According to Bloomberg, Anthropic posted quarterly revenue of nearly $17 billion, twelve times the prior year, but operating costs of $17.5 billion outpaced it, producing a net loss of $23.3 billion versus $12.1 billion a year earlier. The company attributed the cost spike to $5 billion for short-term compute capacity and $2 billion in employee donation matching, and its updated prospectus shows $895 billion in compute and data center lease commitments. The New York Times reports the IPO could raise around $100 billion, with up to $3.5 billion expected from Japanese investors.

  20. Tomasz Tunguz62

    The Four Questions of AI

    The piece lays out four coupled questions across the AI stack: how application companies build moats when models can absorb their features, who owns the harness and context layer given evidence that third-party harnesses outperform native ones, when foundation-model training costs stop paying back, and whether credit and power can keep pace with GPU demand. It cites figures including 98% input-token share, a 71% cost cut from smarter harnesses, roughly 83% of agent tasks routing to smaller models, $4t in projected five-year AI data center debt, and a B300 index at $12.29 per GPU-hour. It concludes that the layers behave like a double pendulum—simple individually but chaotic when coupled.

  21. Hacker News AI50

    Can AI Spot a Bad Business Plan?

    The author tested Claude Fable 5.1 and DeepSeek 4.1 on business-plan review using AI-generated plans with planted mistakes and 31 anonymized real Regulation Crowdfunding companies scored against later outcomes, where both models caught about four in five problems (81% and 82%). The piece also reports that a model identified the real company behind 37 of 68 disguised plans, that both models flagged nearly half of real red herrings as problems, and that the tests are small, single-run signals rather than a ranking.

Nov 2Mon
  1. Hacker News AI47

    Mediroute: An open-source AI platform exposing global drug price disparities

    MediRoute is an open-source HealthTech, RegTech and AI Agent platform that compares drug prices across five markets (US, Canada, India, Singapore, UK), checks import legality with cited compliance rules, and offers an AI Medicine Agent, a Drug Shortage Radar and supplier Trust Scores. It cites the example of Imatinib costing $9,800/month in the US versus $208/month from India, and states it is a medicine intelligence platform rather than a pharmacy or marketplace. The MVP covers 8 flagship drugs, 20 bilateral compliance lanes and three languages, with a roadmap toward 100 countries and 100,000 drugs.

  3. Hacker News AI58

    Context Anxiety: How AI Agents Panic About Their Perceived Context Windows

    Cognition AI found that when rebuilding Devin for Claude Sonnet 4.5, the model was aware of its own context window and took shortcuts when it believed it was running low, though it consistently underestimated its remaining tokens. The article argues this validates Anthropic's shift from prompt engineering to context engineering, and recommends strategies such as enabling large context windows while capping actual usage, building explicit memory systems, and designing token-efficient tools.

  4. MIT Technology Review · AI60

    The agentic web is here

    The article traces how LLM-based agents have realized Tim Berners-Lee's long-stalled vision of an internet navigated by autonomous software, with tools like Meta's Muse, OpenAI's Dots and Anthropic's Claude Duet gaining access to inboxes and bank accounts. It examines two competing approaches—agents that use browsers like humans versus tool-based connectors—and explores how agent traffic is reshaping advertising, publishing and e-commerce economics. Experts disagree on whether the human web will persist alongside the agentic one or be transformed by it, with concerns about closed platforms, security incidents and loss of human-centric online spaces.

  5. Hacker News AI60

    New AI-driven malware feeds stolen data to Claude to rank victims' assets

    Cisco Talos reports a self-deleting Windows infostealer called VOLTA-AUTODOXER that steals browser passwords, cookies, payment cards, email profiles, OAuth tokens, SSH and cloud configs, Wi-Fi passwords and more, then builds an "evidence bundle" on the victim and asks Anthropic's Claude by default to rank their valuables by cash-out potential. The malware prompts the model to act as a "forensic intelligence analyst" and be "blunt, specific, accurate," and can switch models if one refuses or operate without one. It also attempts to crack cryptocurrency wallet vaults inline and compiles geolocation, employer, inferred birth year, document metadata and card digits.

  6. Hacker News AI28

    Empires of AI – The Rise and Fall of a New Global Order

    This essay argues that China and the United States have each built empire-like dominions over AI's foundational inputs—models, chips, infrastructure, and capital—giving them leverage over global innovation and knowledge. It contends that the decisive question is not who reaches artificial general intelligence first but who can finance the race, since both powers face fiscal strains: the U.S. crossed the "Ferguson limit" in 2024, paying more in interest than on defense, while China's AI debt is sovereign and its local governments borrow mainly to roll over old debt.

  7. TechCrunch · AI22

    AI can make tech CEOs’ lives easier. What about everyone else?

    TechCrunch's Equity podcast discussed recent tone-deaf AI comments from executives like Marissa Mayer, Sam Altman, and Mark Zuckerberg, with Amanda Silberling arguing the issue is partly a marketing problem and partly a product problem. She said the industry is pushing a future where basic human interaction gets optimized out, and that the value average users find in AI isn't necessarily the flight-booking and dinner-reservation use cases executives cite.

  8. Hacker News AI58

    Google, Anthropic and others to support new AI crawling opt-out standard

    Google, Microsoft, Anthropic and OpenAI announced plans to support an upcoming website crawling standard that would let site operators block AI developers from using their content for training with a single robots.txt entry. The companies have submitted a draft proposal to the Internet Engineering Task Force to incorporate the standard into the Robots Exclusion Protocol, with Microsoft and OpenAI planning support in the coming months and Google next year. Microsoft will also offer an "AI Grounding" setting to block requests made to answer user questions rather than collect training data, while Meta expressed support for the idea but hasn't committed to implementing it.