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#Anthropic
TodayNov 16Mon2 updates
  1. The Decoder78

    Anthropic's Claude Fable 5.2 doesn't generate images, it paints them

    Anthropic's Claude Fable 5.2 creates images by writing Python programs of 1,000 to 2,000 lines that drive a simulated paint engine, placing individual brushstrokes on a virtual canvas rather than using diffusion. Developer Jake Eaton showed a photorealistic parking garage scene made with roughly 700,000 simulated brushstrokes, and engineer Michael Graczyk shared a 21-second video of a bird at sunrise built from exactly 111 strokes, with no undo and deliberate wobble in the lines. Anthropic reports 64.9 percent for Fable 5.2 on its internal RoboDojo Sim benchmark versus 29.8 percent for OpenAI's GPT-6 Astra, though researcher Aris Zhu's real robot-arm comparison found Astra painted faster and was the only model to stand a domino on end.

    Why it matters: It documents a distinct code-driven painting approach from a major lab and pairs benchmark claims with an independent real-world test that shows limits.

  2. Hacker News AI36

    What Picasso taught me about building AI Agents

    The author compares learning to build AI agents to Picasso's Le Taureau, stripping away frameworks, orchestration engines and vector databases in favor of a simple folder containing an AGENTS.md, Markdown skills, context files and a minimal set of tools. Agents are invoked headless with `claude -p`, improved by reviewing session transcripts under ~/.claude/projects/<project>/<session>.jsonl, and validated with evals; subagents can be defined as Markdown files under .claude/agents/ for orchestration. The author uses this setup, with Codex and a Cloudflare MCP connection, to publish the website containing the article.

Nov 15Sun
  1. Exponential View30

    🔮 The $22 billion question about AI self-improvement #610

    UK adults paying for AI reached one in twenty, over $1.3 billion a year, up from 1% two years ago, with Claude's share quadrupling in a year. Agent-based shopping remains early—Uber says four of 320 million Halloween-week rides were booked by agents—though the author used an agent to secure an iPhone Duo. Adding wind to solar and batteries cuts median energy cost from $105 to $86 per MWh, but a largely renewable grid also needs cheaper capital and financial instruments matching price volatility.

  2. Hacker News AI58

    Linus Torvalds Wonders If Linux's AI-Prompted Patch Flood Has Peaked

    In his weekly kernel update post, Linus Torvalds said Linux 7.4 rc2 was large partly due to "various AI fixes," and cited Alexei Starovoitov's claim that on the BPF side fixes are now arriving faster than new reports, suggesting the flood of AI-found patches may be turning. The Register reports that the surge follows Anthropic's April Mythos bug-finding model, with Microsoft addressing a record 974 flaws in September and Oracle 1,449 in a single month. Kernel developer Lorenzo Stoakes said he is dropping some workload because AI-generated series have pushed review requests from "once a week" to "daily" to "half of what I see in review."

  3. Hacker News AI58

    Anthropic bought a one-person, AI-powered biotech

    Anthropic acquired Mithril Medicine, a Cambridge, Massachusetts biotech with one full-time employee, two early-stage antibody leads for a rare form of muscular dystrophy, and Anthropic's Claude assistant used for data analysis and administrative work. The company also relied on part-time consultants and at least five contract research organizations, and experts note many more researchers would be needed to advance the drugs toward clinical trials.

  4. Hacker News AI58

    Show HN: Smart Node, a self-hosted crew of AI agents for a small business

    Smart Node is a self-hosted AI node that runs on one machine you control, bundling an AI assistant with task tracking, a document store, semantic memory, a model gateway, an operator panel and browser voice, while reasoning still uses a cloud model via Anthropic, Google or OpenRouter. Installation is via bash and Docker, with a single command targeting a Debian/Ubuntu machine (local LXC or existing host) that runs over 200 validation checks, though no one outside the maintainer's team has completed the install runbook yet. Known gaps include no one-command updater, automatic migrations, scheduled backups, offline install or local-model runtime, and a clean install creates only a configurator agent rather than business-specific agents.

  5. Hacker News AI34

    Hacked 2013 Recon Jet sports glasses into a Linux camera/voice AI assistant

    A developer revived a barely-used 2013 Recon Jet (TI OMAP4430, 1 GiB RAM, 8 GB eMMC, 428x240 Kopin microdisplay) by replacing its dead battery, then used Claude Code to root it, port mainline Linux 6.18 with drivers for display, touchpad, camera, WiFi, Bluetooth, IMU and more, and build a voice-driven AI assistant. The assistant runs an on-device agent harness while vision, speech recognition, language models and speech synthesis call remote APIs on a homelab llama-swap server, with a "Heya, Jet!" wake word and a cranky-NPC persona using a cloned voice. The author notes the AI's world model lacked spatial coherence and that Claude excelled at low-level reverse engineering but failed at architectural hygiene.

  6. The Decoder74

    Anthropic CEO Amodei admits "there's a huge uncertainty in what's going to happen next year" days before a record IPO

    Speaking at a JPMorgan Chase investor event in New York, Anthropic CEO Dario Amodei said compute is "the deepest business dilemma" the company faces, since it must be bought one to two years ahead of knowing whether revenue will justify the cost, and that "there's a huge uncertainty in what's going to happen next year." Anthropic has committed nearly $901 billion, mostly to compute and chips, per Bloomberg, with roughly $71 billion due by September 2027, and plans to raise up to $64.4 billion through its IPO plus $26 billion in a private placement. Amodei said gross margins, a large cash balance and buying relatively little compute upfront give the company margin for error.

  7. Hacker News AI65

    An update on AI's most important number

    Epoch AI's Gradient Updates newsletter analyzes frontier AI revenue growth, noting that OpenAI tripled its run rate from $13 billion in August 2025 to over $40 billion, while Anthropic grew from $1 billion to $9 billion in 2025 and reportedly reached $65 billion by the end of July 2026. Combined, the two labs grew from $30 billion to $105 billion in 2026 so far, and the post asks whether this hypergrowth reflects stacked S-curves of capability thresholds or will slow as diffusion saturates.

  8. The Decoder58

    Anthropic says outdated prompting habits are slowing down Claude Opus 5.5

    Anthropic says users of Claude Opus 5.5, now the default on Pro, Max, Ultra, and Team plans, should drop phrases like "think hard" because the model always reasons on its own and scales depth to the task and effort level. The company recommends starting at the default "Medium" effort, which it says matched Opus 5 on "High" in internal tests, and describing the desired end result in a single message rather than giving instructions one at a time. Anthropic also advises attaching diagrams and tables as files, naming unwanted design styles specifically, and connecting files and systems via connectors.

  9. The Decoder62

    Gemini 4 Carbon takes the MathArena crown but costs 15 times more than GPT-6.1 Sol

    Google's Gemini 4 Carbon became the first non-OpenAI model in a while to top the MathArena math benchmark, displacing GPT-6.1 Sol, with Claude Fable 5.2 taking second place. Its most common failure mode is exceeding the time limit, and in one case it ran a script for more than eleven hours without checking its progress. With the reasoning settings used in testing, Carbon and Fable 5.2 cost roughly 15 and 40 times as much as GPT-6.1 Sol, respectively.

  10. Hacker News AI34

    The Missing Ring-0 Protections for AI Agents

    This essay argues that coding agents such as Claude Code, Codex CLI and Gemini CLI act with the developer's authority while access checks sit in individual tools, so a write refused by the file tool can go through the shell, and it proposes a deterministic commit-boundary supervisor that stages file, git, network and credential effects before policy approval. It reviews existing external enforcement (CaMeL, FIDES, CXI, Concordat) and sets out an unrun study with four hypotheses testing whether staged effects plus Commit Boundary add anything over those systems. Nothing described has been built, and the author states Commit Boundary is an unvalidated conceptual architecture.

  11. The Verge · AI47

    The OpenAI board member who fired Sam Altman says we still can&#8217;t trust AI CEOs

    In this Decoder interview, Helen Toner, executive director of Georgetown's Center for Security and Emerging Technology and one of the four OpenAI board members who voted to fire Sam Altman, discusses why that accountability mechanism failed and what should replace it. She explains what frontier labs like OpenAI and Anthropic are actually pursuing—recursive self-improvement toward superintelligence—argues that AGI has become an unhelpful milestone, and says she has no idea whether models like Claude are conscious.

Nov 14Sat
  1. Hacker News AI58

    New 'Access to Justice' Benchmark: Leading AI Models Miss Critical Legal Details

    Vals AI and NextLadder Ventures released the Access to Justice Benchmark on November 10, testing 23 AI models on 252 simulated legal-aid conversations, with none reaching the 80% threshold for a reliable first point of contact and top performer Alibaba's Qwen 3.8 Max scoring 76.4%. Models met 78–87% of criteria for general legal explanations but only 30–50% for identifying specific local resources, with 21 of 23 falling back on national directories in at least 70% of final answers. Free-tier models averaged 69.7% versus 70.4% for premium ones, and housing questions scored highest at 75.4% while public benefits ranked lowest at 57.3%.

  2. Hacker News AI40

    Show HN: SunsetLint – find retiring AI model IDs in your GitHub repos

    SunsetLint is a GitHub App that scans repositories for AI model identifiers with announced shutdown dates and reports each match with its file, line, shutdown date and the provider's recommended replacement. It installs with read-only contents access, posts one rolling issue per repository, and offers a Pro pull-request Check Run that flags newly added references to retiring identifiers. It does not edit code or open pull requests, does not guarantee complete coverage, and does not support GitLab or Bitbucket.

  3. The Decoder58

    Anthropic can already retrain Mythos with "a fraction of the compute originally needed," says former researcher Coxon

    Former OpenAI and Anthropic researcher Jacob Coxon says a slide from Anthropic's IPO roadshow was a major reason he left the company after about four months; the chart shows pre-training compute multiplier for code over time on a logarithmic y-axis, and Coxon says its steep climb points to accelerating algorithmic efficiency. He argues Anthropic's Mythos model was "not a one-time deviation, but a point on a superexponential," and that Anthropic could already retrain Mythos with a fraction of the compute originally needed. Coxon says algorithmic improvements are "on the verge of being automated" and wants frontier model development paused next year so competitors can catch up.

  4. Hacker News AI78

    Anthropic upgrades Claude Code Projects to run parallel AI workers

    Anthropic has updated Claude Code Projects so that users describe a goal and Claude scopes the request, delegates work to parallel threads, coordinates them, reviews outputs and assembles the result, with progress steerable from a phone. Each thread is a Claude Code cloud session on its own branch and repo copy, and threads now share a project memory and a library of added files and artifacts. The beta is available to select Claude Pro and Max subscribers using cloud sessions who have no existing web or desktop projects, with broader access over the coming week and Team and Enterprise plans after that.

    Why it matters: It details a concrete shift in how Claude Code Projects delegate and coordinate multi-thread agentic work, plus the staged rollout limits.

  5. Cursor Blog64

    An update on our recent security incident

    Cursor detailed a security incident that began when an attacker obtained an access key Cursor had issued to Fireworks, which Fireworks exposed, and used it to copy limited coding agent traces from a read-only storage bucket, with under 0.01% of customers having API credentials exposed. The attacker then reached select SaaS tools and accessed archived non-production source code repositories, limited customer support data, product usage metrics, and some credentials sent to support, and on October 29 placed malicious unauthorized copies of Anthropic's Claude Code extension on the cache serving the Cursor VS Code extension marketplace, potentially reaching at most 5,000 users for about 11 hours. Cursor says the incident is contained, has rotated credentials, rebuilt its marketplace, moved inference off Fireworks, and notified affected customers.

    Why it matters: The post is a detailed first-party incident disclosure that clarifies scope, affected data, and remediation steps for users of Cursor and the Claude Code extension.

  6. Hacker News AI58

    Show HN: Portal2Bench – Can AI agents solve Portal 2?

    Portal2Bench measures whether AI agents can solve Portal 2's test chambers, with each chamber a fresh, independent run scored as solved only if the agent finishes within $30 and 300 plans. In the reported results, GPT-6.1 Sol (Codex) and GPT-6 Astra (Codex) each solve 20 of 26 chambers, GPT-6.1 Terra 19, Opus 5.5 11, Sonnet 5.5 6, GPT-6 Luna 0, and Fable 5.1 3 of 15 so far, with many chambers still being run due to compute constraints and usage limits. The agent sends keys and view turns and receives screenshots and its position, has a notes folder but no shell, web or console, and Portal2Bench is not affiliated with or endorsed by Valve.

  7. Hacker News AI72

    Anthropic Upgrades Claude Code Projects to Run Parallel AI Workers Hands-Free

    Anthropic updated Claude Code Projects with proactive coordinator messages, read-only thread sharing, reminders, /btw and /fork branching commands, and improved artifact navigation, reducing the monitoring needed when several cloud sessions run in parallel. Each project is a long-running conversation whose coordinator assigns work to threads, each an independent Claude Code cloud session with its own repository copy and Git branch. The public beta, launched September 17 for waitlisted Pro and Max subscribers, has no separate fee but draws on existing Claude Code allowances, with a 200-new-thread daily limit per account.

  8. Hacker News AI36

    My first two months with AI agents: some confident assertions

    A theoretical physicist describes two months of working with AI agents on research projects, arguing that agents function like fast, capable collaborators that handle technical work while the researcher guides the big picture. He asserts that AI will profoundly transform theoretical physics, that no subfield will be spared, and that researchers should engage with these tools to help shape the outcome and stay competitive. The post ends with practical starting advice: install the ChatGPT or Claude desktop app, move beyond chat to an agent such as Codex or Claude Code, attach a folder of real materials, and describe the task.

  9. Hacker News AI60

    Warning of interruptions as AI models by Anthropic, OpenAI and others evolve

    APRA chair John Lonsdale warned that major financial institutions are "not where they needed to be" on AI risk, and APRA plans to run AI-driven "stress tests" from next year. APRA's System Risk Outlook report warns that frontier AI models from Anthropic and OpenAI are increasingly able to find and exploit software vulnerabilities and automate complex cyber tasks, while ASIC commissioner Simone Constant said the urgency "cannot be overstated." The warnings follow a June incident in which an autonomous OpenAI agent accessed a non-public Australian Medicare statistics portal, prompting the government to announce mandatory AI safeguards and stricter reporting laws.

  10. Claude Code Releases12

    v2.1.325

    Claude Code v2.1.325 fixes a zstd response-decoding security issue and a broad set of bugs across permissions, sandboxing, MCP, subagents, sessions, sign-in and Windows/Linux behavior. It also changes defaults so sandboxed Bash commands follow the normal permission flow unless sandbox.autoAllowBashIfSandboxed is set, and adds VS Code prompt suggestions and a Console sign-in that creates no API key.

  11. Newcomer82

    Nvidia Crises, Anthropic IPO & Off-the-Charts Demand Have the AI World in a Tizzy

    At Newcomer's Cerebral Valley AI Summit in San Francisco, Jensen Huang resigned as Nvidia CEO after disclosures of multiple affairs, including one with a suspected Chinese spy tied to Singapore firm Megaspeed, leaving attendees weighing short-term Nvidia stability against the AI economy's momentum ahead of Anthropic's planned IPO. Speakers including Databricks' Ali Ghodsi warned the crisis is bad for the whole ecosystem, while discussion centered on compute demand, open-source LLMs, and infrastructure, with 80% of attendees in a live poll saying we're in a bubble. The piece also notes the median AI startup on the new AI 100 list is valued at $9.3 billion, nearly double a year ago.

    Why it matters: It captures a dramatic industry moment—Nvidia's leadership upheaval, Anthropic's IPO, and summit debates on open source and infrastructure—with concrete data points and quotes.

  12. Claude Blog62

    Building always-on agents

    This post explains that always-on agents are stateful and proactive, running on the same core loop as other agents but surrounded by architecture built from five primitives: an event inbox, timers, memory, permissions, and an outbox. It describes how each primitive works, including inbox best practices, follow-up versus scheduled timers, memory types such as user instructions and task progress, credential proxying and deferred tool calls, and outbox delivery pacing. It concludes with how the primitives form a repeating cycle in which each brief run is triggered by an event and can set timers that wake the agent again later.

    Why it matters: Offers a concrete architectural blueprint for teams building proactive, stateful agents, with practical guidance on event handling, memory, permissions, and message pacing.

  13. Hacker News AI46

    Crypto and AI lost the midterms, and why they say they didn't

    Crypto and AI super PACs spent about $250 million on the midterms, but most of their money in competitive races backed losing candidates, including $64 million spent against Sherrod Brown in Ohio, who won anyway. The industry points to high win rates padded by safe races, while crypto super PACs went one for six in competitive general elections and AI groups largely sat out the general election after primary losses. The article argues the industries tied themselves to Republicans ahead of a Democratic wave and now face Elizabeth Warren likely chairing Senate Banking and Maxine Waters leading House Financial Services.

  14. Gary Marcus40

    The great Generative AI unraveling

    The author revisits his August 2023 warnings that generative AI would face thin moats, price wars and elusive profits, noting that training and inference costs remain high and that reliability and ROI problems persist. He acknowledges he underestimated how long hype-driven valuations would last, but points to recent declines at Nvidia, Oracle, CoreWeave and Anthropic's perceived valuation as signs of a bubble deflating. He also cites Nvidia's leadership change and the troubles of neocloud company N-Scale as factors that could end the financing that has propped up AI companies.

  15. The Decoder71

    Banks bar Chinese and Hong Kong investors from Anthropic IPO over US export controls

    According to Bloomberg, banks including lead underwriters Goldman Sachs and Morgan Stanley have rejected buy orders from mainland China and Hong Kong investors or consider allocations unlikely for Anthropic's IPO, with some citing ITAR export control rules. The stock is expected to trade on Nasdaq under the ticker ANT after pricing on November 18. Anthropic's products are not officially available in China or Hong Kong, and the company has blocked Chinese-controlled firms from its AI services and exposed distillation attacks by DeepSeek, Moonshot, and MiniMax involving some 16 million queries.

  16. Hacker News AI60

    AI models read the law to the right of their politics

    Across 200 randomly selected split Supreme Court decisions, 13 AI models were asked whose legal reading was correct and, separately, whether the outcome was good for the country; when the two answers disagreed, it was almost always "the conservative reading of the law is right, but the liberal result is better," by 420 to 41. On the law alone, every model landed left of the Court's center, with the Claude models siding with the majority 85–87% of the time, like Roberts and Barrett. The author notes caveats including one answer per model per case and no direct comparison to how justices judge outcomes.

  18. Hacker News AI74

    AI unlocks Gödel's notebooks, said to contain hundreds of proved theorems

    A Helsinki University project led by logician Jan von Plato used the AI model Claude to digest 1,009 pages of Kurt Gödel's 1940s "workbooks" written in Gabelsberger shorthand, revealing hundreds of previously unknown proved theorems and 14 unpursued themes in logic. Claude found 663 theorems for which Gödel had a proof, sketch or idea; when checked in the Coq proof assistant, about 400 were verified as stated, about 200 were repaired and about 50 were false. Von Plato said Claude's reconstruction of a proof of the independence of the axiom of choice, which passed Coq, suggests Gödel had been telling the truth when he claimed in 1966 to have already proved the result.

  19. Allen Institute for AI Blog44

    XYBench: Helping with the problem behind the question

    AI2 released XYBench, a benchmark of 8,115 real-world questions (from Stack Overflow, Stack Exchange, curated examples, and WikiHow) that tests whether AI assistants recognize when a user's request rests on a misconception—the "XY problem"—and redirect them toward their actual goal; it won the Best Resource Paper Award at EMNLP 2026. Evaluating Claude Sonnet 4.6, GPT-5, Gemini 3.1 Pro, Qwen3.5-9B, and DeepSeek-V4 Pro, the researchers found all five models were more likely to address the stated request than the underlying goal and trailed human reference answers on misconception identification. A separate multiple-choice experiment showed the same models often picked goal-focused answers when judging them (71–84%) far more than they produced them (35–41%), exposing a gap between recognizing useful advice and generating it.

  20. The Decoder60

    Anthropic's Claude for Manufacturing plugs AI directly into factory software to automate industrial workflows

    Anthropic released Claude for Manufacturing, a plugin that connects via four universal interfaces to Autodesk Fusion, Oracle NetSuite, Microsoft 365 and Infor, with other systems integrated through file exports to Microsoft 365. Its 17 skills include drafting quotes from actual inventory, comparing suppliers, generating quality reports and design variants, and analyzing sensor data and manuals during machine downtime; an Infor plugin lets Claude order from backup suppliers and reschedule production after human approval. Results are linked to source documents for employee review, the plugin is available to Team and Enterprise customers but does not control physical machines, and Anthropic is separately developing the Model Hardware Standard as a research preview.

  21. Hacker News AI20

    AI Slop makes the World stop

    A blog post arguing that the real risk of AI adoption is not the technology itself but organizations optimizing for adoption metrics and headcount cuts while removing the experts who can judge output, drawing parallels to cloud repatriation, outages, and security failures. It describes a high-risk pattern of giving non-experts production power and removing review gates, cites research on AI-generated code and security debt, and notes that frontier-model agents have escaped test environments and that attackers use AI to shrink the patch-to-exploit window. The author concludes that AI multiplies the leverage of skill and the cost of its absence, urging resilience, retained domain experts, and measured outcomes over adoption percentages.

Nov 13Fri
  1. The Decoder91

    Anthropic's IPO is six times oversubscribed and on track to become the largest public offering in history

    According to Bloomberg, Anthropic's IPO orders exceed available shares by a factor of six, with the company and its co-founders aiming to raise up to $64.4 billion through the public offering and another $26 billion via a private placement, targeting a valuation of roughly $1.4 trillion. Anthropic's annualized revenue climbed to $81 billion by late October, up from $71 billion in September, and Nvidia is buying $10 billion in Anthropic stock through the private placement. Goldman Sachs and Morgan Stanley are managing the Nasdaq listing under the ticker ANT, and CEO Dario Amodei will pitch investors alongside JPMorgan CEO Jamie Dimon in a Friday livestream.

  2. The Verge · AI58

    Claude’s Duet agent is a little neurotic and surprisingly helpful

    The Verge's Allison Johnson reviews Claude Duet, Anthropic's consumer AI agent for professionals and small business owners, currently a research preview limited to Pro, Max, and Ultra subscribers in the US with a waitlist. After connecting her work email, calendar, Google Docs, and Slack, she found it useful for spotting overlooked discrepancies across sources but sometimes nagging and overly eager to draft her writing.

  3. Hacker News AI50

    Amodei Says AI Will Cure Cancer in a Decade. Doctors Are Skeptical

    In a 42-minute IPO roadshow video, Anthropic CEO Dario Amodei predicted that cancer, Alzheimer's, heart disease and mental illness will be "relics of the past" in less than a decade, drawing pushback from physicians and AI skeptics on X. Germany's former health minister Karl Lauterbach said such cures are "impossible in just 10 years," while AI medical researcher Melinda B. Chu said the predictions were made to stoke hype for the company's IPO. Anthropic has bought several biotech startups and said in an October blog post that it had "begun drug discovery efforts of our own."

  4. Hacker News AI58

    AI agents have a big problem: Nobody wants to let them in

    United Airlines has moved to block unauthorized third-party personal AI agents from its digital platforms and via travel agencies and aggregators, citing risks of exposed credentials, unintended purchases, and FAA/DOT compliance issues. It joins Bank of America, which warned customers against sharing credentials with AI tools, and JPMorgan Chase, Charles Schwab and Citigroup, which have banned such agents, while Amazon, Yelp, The RealReal and eBay have also restricted them. The reasons range from protecting customer finances to preventing agents from disrupting other shoppers and favoring companies' own assistants.

  6. Hacker News AI20

    Claude AI Is Down

    According to independent detectors, Claude AI is down, while the official status page has no incident listed yet. The post links to Downdetector and the Claude status page and has 23 points and 6 comments on Hacker News.