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Nov 11Wed
  1. TechCrunch · AI69

    OpenAI, Anthropic face new oversight as New York’s AI safety law takes effect

    New York opened a registration portal on Tuesday requiring large frontier AI developers such as Anthropic and OpenAI to register by January 1, 2027, ahead of the RAISE Act taking effect at the start of the year. The law requires companies with more than $500 million in annual revenue to publish safety frameworks, report critical safety incidents within 72 hours, and issue public model transparency reports, with penalties up to $1 million for a first violation and $3 million for subsequent ones, overseen by the newly formed Office of Digital Innovation, Governance, Integrity, and Trust (DIGIT). Governor Kathy Hochul also launched the New York Center for AI Responsibility and Research at Binghamton University, which will independently evaluate advanced AI systems and work with DIGIT to review companies' safety frameworks.

  2. TechCrunch · AI40

    OpenAI acquires Odessia, travel startup created by Sonder founder

    OpenAI has acquired Odessia, an AI travel agent startup founded by Francis Davidson, who said in a post that he is now working for OpenAI on the future of travel; terms were not disclosed and OpenAI did not confirm the deal to TechCrunch. The year-old Odessia raised a $6 million pre-seed round led by Sequoia and launched its AI travel agent about five months ago, but the tool has already been shut down. Davidson previously founded Sonder, which went public via a SPAC, entered bankruptcy and wound down after a Marriott partnership fell through.

  3. Simon Willison82

    llm-gemini 0.36

    Gemini 4 Carbon, announced two weeks ago for "a subset of cyber defenders", is now available to everyone at launch prices of $2/million input and $10/million output, scheduled to double to $4/$20 on December 1st. The post shows three pelican test images for low, medium and high thinking efforts (defaulting to medium) and an Antigravity IDE test producing a Three.js animation of Yonkers as a mech stomping around Manhattan, Queens and Brooklyn using OpenStreetMap data. An update notes a YouTube demo in which Carbon's /swarm feature built an open-world 3D game exploring Google's Mountain View campus as a pelican riding a GBike.

    Why it matters: Useful for its concrete pricing and release details plus hands-on pelican and coding tests of Gemini 4 Carbon.

  5. Hacker News AI58

    An AI agent said the code was verified. The evidence said otherwise

    A blog post argues that when an AI agent implements, tests, reviews and reports on its own code, its claim of "verified" is untrustworthy, and proposes binding evidence (review, tests, human approval) to a specific Git tree hash so that changing the tree invalidates the evidence. It introduces Uncle (github.com/unclehq/uncle), an open-source tool that runs checks itself, records exit codes and tree identities, and distinguishes "verified," "signed" and "human looked at it" rather than blurring them. The author notes the tool does not establish correctness, is young, and is partly defeated by a hostile agent with unsandboxed shell access.

  6. Hacker News AI58

    My AI Agents Found an Unmapped Maya Site in Mexico

    The author describes using AI agents to analyze NASA lidar data covering about 1,200 km² of jungle, where the agents flagged structures including a hilltop site with a plaza, an oval pyramid at least 8–12 m tall, a raised courtyard and a possible water reservoir. After checking the literature and archives, the author sent a report to Mexico's INAH, which replied that no registered archaeological site was identified at the location. The author, who states he is not an archaeologist, offers to help with an INAH-led field check and notes the site's identification remains unofficial.

  7. Hacker News AI58

    Show HN: Aisync, advisory file claims so two AI agents don't edit one repo

    aisync is a local hub (~/.ai-sync/, a git repo) that lets Claude Code, Codex and Cursor share rules, a hash-chained journal and file claims, with an overlapping claim exiting with code 3 so an agent stops before colliding. Hooks inject what other tools just did into running sessions, and version 0.2.0 adds layered When/Do/Not rules, a progress_file for stable prompt caching, and an optional MCP server. It requires Python 3.11+ and git on macOS or Linux, uses only the standard library, and is MIT licensed.

  8. Hacker News AI20

    JetBrains back to square one on no-AI IDE installs

    A Hacker News submission links to JetBrains YouTrack issue IJAI-3469, titled "JetBrains back to square one on no-AI IDE installs," with the associated discussion thread. The supplied material contains only the issue and comments URLs, with no further details on the issue's content or status.

  9. Hacker News AI55

    Apple has new Mac app coming to make running local AI models easy

    Leaker Aaron Perris found evidence of a new Apple Mac app called Harbor that turns a Mac into a private AI inference server for running open-weight models locally on Apple silicon. Harbor can connect multiple Thunderbolt 5 Macs to pool unified memory for larger models and higher concurrency, and is currently in a private preview under Apple's Claris brand.

  10. Redwood Research Blog58

    We don’t understand whether GDM intentionally trains on CoT

    Redwood Research researchers note that the Gemini 4 Safety report appears to say GDM uses auxiliary rewards that observe chain-of-thought content, citing Kaufmann et al. on training on CoT, while a GDM blog post says they never penalize what the model writes in its CoT and GDM staff said they weren't training on CoT but couldn't explain details. The authors argue that "orthogonal" CoT rewards are a weak guarantee and that avoiding training against monitors is insufficient to preserve CoT integrity, and they present an appendix experiment in which five LLMs rated transcripts with hack acknowledgments removed 20-50 points higher than the originals. They conclude they suspect a misunderstanding but want clarification and greater transparency.

  11. n8n Blog22

    Batch processing patterns for workflow automation at scale

    This guide explains how batch processing in workflow orchestration differs from stream processing and presents three patterns—chunking, rate limiting, and per-item error handling with retry—for handling large loads without hitting memory limits or API quotas. It describes how n8n's Split Out, Aggregate, Loop Over Items, HTTP Request, Wait, and Remove Duplicates nodes support these patterns, and notes n8n was tested with up to 220 workflow executions per second on a single c5a.large instance running a two-node workflow. It also covers idempotency, checkpointing, and choosing batch sizes, plus sub-workflows and queue mode for scaling.

  12. n8n Blog15

    Microservices best practices every automation engineer should know

    This article outlines microservices best practices, including defining clear service boundaries via domain-driven design and the single responsibility principle, and building resilience into service-to-service calls with circuit breakers, retries with exponential backoff, and bulkheads. It also covers routing traffic through an API gateway and making failures observable with distributed tracing and centralized logging, noting how n8n workflows can orchestrate and monitor service calls.

  13. Hacker News AI48

    Tim O'Reilly – The New Knowledge Artifacts of the AI Economy

    Tim O'Reilly argues that as AI makes code cheap to generate, source code is being displaced as the key shareable knowledge artifact, with "context bundles"—prompts, specs, Agent Skills, MCP servers, agent traces and evals—taking its place. Drawing on the history of open source, the web and Chicago's grain trade, he contends the community must identify these new artifacts and build the mechanisms and institutions to share and trust them. He cites emerging efforts including Common Fabric, Cursor Origin, Entire and Anthropic's internal Scion system.

  14. Hacker News AI60

    In open-weight AI, America is the one playing catch-up

    According to Village's LLM Atlas, which scores 857 models on a single capability scale, China's best open-weight models have led America's every day since September 2024, when Meta's Llama 3.1 405B last matched Alibaba's Qwen2.5. The 12 record-setting US open models since 2025 arrived a median of 3.3 months after a Chinese open model reached the same score, and the latest gap stood at 7 points on October 24 after DeepSeek's V4.1 Flash and Moonshot's Kimi K3.1 Pro widened a lead Meta's Muse Spark Open had cut to 2.9 points. Both countries' open models still trail the best closed models, by about five months for China and nine for America.

  15. The Decoder70

    OpenAI turns ChatGPT into a business directory with AI agents that handle customer questions

    OpenAI is launching a beta feature called "Businesses in ChatGPT" that lets companies register and manage business profiles through a Business Hub, update information, add product feeds with prices and availability, and track mentions and website clicks. Eligible US e-commerce and online service providers can create "Business Agents" that answer customer questions, help with product comparisons, and serve as targets for ChatGPT ads, and Shopify merchants can connect their store directly. OpenAI says user conversations aren't shared with businesses and that ChatGPT reaches 1.2 billion users per week, with plans to expand to more markets and industries over time.

  16. Ars Technica · AI22

    What happens to mathematics when AI becomes an oracle?

    Applied mathematicians Steven Strogatz and Alex Townsend have written a new book, Big Math: The Hidden Codes That Run Our World, examining how "big math" enabled by computers, large language models, and eventually quantum computing is beginning to outstrip its human creators. The article notes Strogatz's background, including his 1998 paper with Duncan Watts on small-world networks, his study of the Millennium Bridge wobble, and his popular books such as Sync and Infinite Powers.

  17. Latent Space50

    Designing for Agents — Zeno Rocha, Resend

    This podcast episode features Resend co-founder and CEO Zeno Rocha discussing Agent Experience Optimization, including an AEO study in which Claude Code picked Resend first in 64 of 102 email recommendations, and how React Email templates and a pricing page readable via a .md URL helped Resend reach developers before models. Rocha describes growing Resend's MCP server from roughly 20 tools at launch to more than 80, weighing that against Cloudflare's two-tool Code Mode server, and explains why Resend introduced custom tracking domains to keep one customer's blocklisting from affecting others. He says Resend had 4.3 million users and 120,000 paying customers at recording time.

  19. Mastra Blog31

    $25 Starter Plan on Mastra Platform

    Mastra introduced a $25 Starter plan that raises monthly allowances for compute, data, and observability events and includes one Small dedicated server whose compute is covered by the $25, with usage beyond the allowances billed on top. Compute measurement is changing and allowances are being updated on every plan, while a serverless agent remains free to run on all plans including Free. Projects run serverless or on Small, Medium, or Large servers, and Mastra Connect now has a connection allowance on each plan (5 on Free, 10 on Starter, 50 on Team, $0.50 each additional) with egress from those connections counting toward plan egress usage.

  20. Hacker News AI58

    Show HN: Zeus – Claude Code for AI voice agents

    ThunderPhone v3 introduces Zeus, a fully agentic harness that configures, tests and tunes voice agents for a business's use case, replacing the retired Spark, Bolt and Storm pre-baked stacks with one unified architecture. ThunderPhone says its multi-model architecture, which runs multiple transcription models and combines faster and slower LLMs turn by turn, scores 99.4% on Big Bench Audio. Zeus is free for now, and ThunderPhone uses cost-plus pricing with margins from 17% to 25%.

  21. Artificial Analysis Articles60

    Multimodal Knowledge Agent (MKA) benchmark: testing knowledge work capabilities with complex visual files

    Artificial Analysis partnered with Google DeepMind to launch the Multimodal Knowledge Agent (MKA) benchmark, comprising 200 private real-world visual tasks across 10 industries in which agents work from dense visual files like architectural drawings, engineering schematics, and clinical scans to produce deliverables such as slide decks, spreadsheets, PDFs, Word documents, and marked-up images. Tasks are graded against expert rubrics averaging ~70 weighted criteria split into Regression and Climb checks, with the headline Climb WSR score, run in the open-source Stirrup agent harness with up to 250 turns and graded by GPT-6 Luna (medium) as an agentic judge. Claude Fable 5.2 (max) leads with 57% Climb WSR, followed by Gemini 4 Carbon (high) at 54% and Claude Opus 5.5 (max) at 53%, while Claude Fable 5.2 averages $31.97 per task versus $6.29 for Gemini 4 Carbon and $1.11 for GPT-6.1 Sol.

    Why it matters: The results offer a useful cost-performance and per-vertical breakdown for anyone choosing models for agentic knowledge work over complex visual files.

  22. Hacker News AI12

    Render is adding Anthropic, TypeSafe AI and others to its Subprocessors

    Render's subprocessors list now includes Anthropic, PBC and TypeSafe AI, Inc. under the purpose "AI / Machine Learning," both based in the United States, alongside Grafana Labs (Monitoring / Observability) and Temporal Technologies Inc. (Workflow Orchestration). The page also lists AWS, Google Cloud Platform, Cloudflare and ClickHouse Inc. as hosting/cloud platform subprocessors.

  23. Hacker News AI83

    Anthropic says a key AI safety alarm has been triggered, days before its IPO

    In an amended prospectus tied to its IPO price range, Anthropic said it has met a Responsible Scaling Policy threshold, based on expected future models and its overall rate of progress rather than observed current models, that is triggered when AI roughly doubles the pace of its model improvements. Crossing the line means more safeguards rather than a shutdown, and the company says humans remain in charge. Anthropic set a price range of $70 to $78 per share, valuing it at as much as about $1.4 trillion, with trading possibly starting as soon as Nov. 19.

    Why it matters: It documents a frontier lab formally crossing its own safety threshold just before a record IPO, a concrete data point for readers tracking AI safety commitments against commercial pressure.

  24. TechCrunch · AI58

    Oura to acquire AI-native primary care startup Counsel Health for $625M

    Oura announced it will acquire AI-native primary care company Counsel Health for $625 million, expanding the partnership that integrated Counsel's chat-based medical AI and physician access into the Oura app in June. Counsel CEO Muthu Alagappan will join Oura as chief clinical AI officer with the company's 70 employees, and Counsel will continue serving enterprise partners. The deal is expected to close before the end of 2027, and Oura also reported quarterly revenue of $533 million, up 153% year-over-year.

  25. TechCrunch · AI62

    All 7 Anthropic founders will each cash out about $250M in IPO

    Anthropic's new S-1 filing discloses that each of its seven co-founders plans to sell 3,378,378 shares in its IPO, which has an initial price range of $70 to $78 a share, putting each founder's proceeds at roughly $236 million to $264 million. Board members Reed Hastings and Christopher Liddell have indicated they want to buy $300 million and $3 million worth of shares, respectively. After the sale, each founder will own about 3.2% of outstanding Class A shares, and collectively the founders will control 51.1% of votes through supervoting Class F stock.

  26. Hacker News AI40

    My Keynote at SeaGL and LLM-Gen-AI-Assisted Reverse Engineering

    The post notes a growing number of reports of people gaining access to their own locked-down devices, nearly all of which mention LLM-gen-AI, and cites the Zyxel XS1930 network switch being upgraded to OpenWrt via its web UI, where LLM-gen-AI was used only to understand the stock firmware's binary image format. It also references other reverse engineering efforts covered in the author's SeaGL keynote (a guitar amp, the Meta Quest bootloader, music gear, and the Nintendo Switch 2) and quotes Jason Koebler's warning that poorly coded, insecure software will end up on critical hardware. SFC says it has reached out to these projects to offer help and connections with member projects, and encourages companies to intentionally make their devices open to software modifications.

  27. Hacker News AI45

    Doc2Harness: Benchmarking how well AI builds agent harnesses

    The authors propose Doc2Harness, a two-stage benchmark that evaluates long-horizon harness engineering: a build model constructs a candidate harness from an interface-only contract skeleton and a development document consolidating behavior across twelve frontier harnesses, and the frozen harness is then run per test case by a scripted mock model and scored via four observable channels. Across nineteen frontier models, each with three independent builds on 328 test cases, GPT-6 Astra achieves the highest pass rate at 53.05% while the weakest model reaches 27.44%, and failures cluster around how cross-cutting functionality is split across modules. The authors describe it as the first deterministic benchmark for measuring long-horizon harness engineering.

  28. The Decoder73

    Anthropic turns Claude into a full workspace with Plugins, spreadsheets, whiteboards, and soon Meeting notes

    Anthropic is adding collaboration features to the Claude app: Claude Sheets for creating and editing spreadsheets with AI assistance, Claude Whiteboards for brainstorming with Claude summaries, and Claude Data (formerly Dashboards) for connecting to tools like Snowflake and Salesforce to build dashboards and visualizations. It is also launching Interactive Connectors, letting partners such as Adobe, Atlassian, and Salesforce embed their apps into Claude, similar to ChatGPT's plugins, and says Claude Meetings, which can join calls and take notes, is launching "soon." Enterprise customers get security controls including audit logs, isolated virtual machines, and a compliance API.

  29. The Verge · AI80

    The US is winning the AI race. Jensen Huang could have blown it

    A Verge report says Nvidia CEO Jensen Huang admitted to an affair with a woman suspected of being a Chinese spy, reportedly while US intelligence and President Trump knew of the suspected spying. Experts told The Verge the fallout could disrupt the US AI industry, threaten national security, and erode America's fragile lead over China, since Nvidia's chips are a key bottleneck and Huang holds unusual influence over policy. The article also notes companies linked to the alleged spy, Alice Huang, reportedly enabled at least $7 billion of Nvidia chip sales to China, and that the scandal could raise the odds of AI chip control legislation passing Congress.

    Why it matters: It offers a detailed look at how a single company's leadership crisis could ripple through US AI competitiveness and export-control policy.

  30. Latent Space60

    NaiveAI Promises 2,100 Tokens per Second. How Well Does It Code?

    Latent Space benchmarks NaiveAI's open-weights Naive-N0.5-Flash, a MiMo-V2.5 derivative adapted to DeepSeek Sparse Attention with about 3.25T extra training tokens, against DeepSeek V4.1 Flash 1017 and GLM 5.3 Flash on speed, verbosity and three app-building prompts. It reports peak throughput near 2,100 tokens/s and a median response time of 3.1 seconds versus 5.3 and 10.1 seconds, but far higher thinking-token use on hard questions and mean times similar to DeepSeek. In the apps, Naive-N0.5-Flash produced the best solar system, tied DeepSeek on the tree model and trailed it on ray-tracer efficiency, while its no-thinking variant failed to build a usable tree app.

  32. Hacker News AI18

    MAMIXcite is AI visibility+SEO+AEO+GEO+ Business improvement. is this useful?

    MAMIXcite is a platform that observes how answer engines such as ChatGPT, Gemini, Perplexity, Claude and Google AI describe, compare and recommend a business, then diagnoses competitive gaps, prioritizes improvements, supports owner-approved execution and measures before-and-after change. It adds a "Business Excellence Intelligence" layer aimed at the business itself — service quality, customer experience, operations and credibility — and states it cannot guarantee AI recommendations. It is positioned for businesses in the UAE, starting with dental and healthcare clinics, property maintenance and home services, real estate, and agencies.

  33. Hacker News AI48

    Linus says AI fixes drove most of the progress in latest Linux kernel

    Linus Torvalds said that "much of this was driven by various AI fixes" in the latest Linux kernel changes, which he split among graphics, networking and sound drivers; networking and BPF; and miscellaneous changes. He noted the kernel's BPF portion saw more AI fixes than reports, suggesting the flood of AI bug reports may be settling, and appeared to underscore that AI-written contributions should be embraced so long as they face the same quality control.

  34. Hacker News AI18

    Ask HN: Should I be stockpiling goods because of AI and cybersecurity?

    An Ask HN poster says non-prepper friends are stockpiling goods citing "AI and cybersecurity," and asks whether this is unsubstantiated panic or something worth more attention. They note being deeply familiar with AI developments and cite reports of countries issuing notices and the Pentagon's 90-day off-grid plans, while saying the prepping feels "a little Y2K" to them.

  35. Hacker News AI40

    AI's impact will be bottlenecked by institutions more than by capabilities

    Sayash Kapoor, Rishi Bommasani and Arvind Narayanan announce STABL, a new non-profit research organization arguing that AI's societal impact will be limited more by the pace of institutional and organizational change than by capability progress. STABL outlines four research directions: empirically testing recursive self-improvement claims (including open-ended evaluations via CRUX), expanding AI safety beyond alignment and non-proliferation toward control, downstream defenses and societal resilience, measuring AI's economic impacts and steering toward augmentation, and studying how knowledge work and institutions should adapt.

  36. Hacker News AI58

    Woolly, a local memory shared by all your AI tools

    Woolly is a local, private memory layer that runs on your computer and gives MCP apps like Claude Code, Claude Desktop and Cursor one shared memory stored as plain Markdown files. It also adds memory to Ollama and OpenAI/Anthropic-compatible apps via `woolly proxy`, keeps facts current by replacing outdated ones, and lets you review, edit or delete memories through `woolly ui`. Installation is via a curl script, Homebrew, Windows PowerShell, or `go install`, with a Python SDK available as `pip install woolly-ai`.

  37. Hacker News AI22

    Try our new AI that was built with it's user in mind

    Olo is a Mac intelligent companion, free with in-app purchases, that answers questions from sources you can open and checks each sentence as supported, contradicted or not covered. It can be invoked with Option+Space in any app or via Services > Ask Olo on selected text, and it accepts PDFs, Word documents, notes and chosen folders. Olo Starter (£19.99) and Olo Growth (£49.99) are auto-renewable monthly subscriptions, and the app requires macOS 14.0 or later.

  38. Databricks Blog47

    Unity Catalog Metric Views, now in Power BI: one unified, governed semantic layer for all your reporting and AI

    Databricks introduces Publish to Power BI, which connects Unity Catalog metric views to Power BI semantic models so each metric view becomes a table, its dimensions become columns and its measures become DAX measures, with Power BI querying the metric view itself. Publishing can be done on demand from Catalog Explorer or automated via Power BI tasks in Lakeflow Jobs, and DirectQuery queries honor Unity Catalog access controls. The feature is available in Private Preview.

  39. Google Blog AI55

    Gemini Intelligence: New features, on more devices

    Google announced that Gemini Intelligence is expanding to more devices, including the motorola signature 27 (pre-order in the U.S. from November 19) and Pixel 10, Pixel 10 Pro XL and Pixel 10 Pro Fold via today's Pixel Drop. New and expanded features include Create My Widget for building custom widgets from a prompt, Device Assistance for controlling and fixing your device by asking, Rambler on additional devices, and task automation expanding to the UK, India and Japan. Gemini Intelligence is also coming to Android Auto for proactive suggestions and to Pixel Watch for Create My Widget in the coming weeks.

  40. TechCrunch · AI48

    OpenAI rolls out new business profiles, making ChatGPT just a little bit more like Google

    OpenAI launched a beta Business Hub where companies can create verified business profiles and, if eligible, a specialized business agent that ChatGPT users can ask about the business and its products. The hub also offers limited business insights such as profile views, business mentions and website clicks, and businesses must verify their profiles through a process OpenAI did not detail. The move follows the company's earlier e-commerce effort, which it retired in March.