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Nov 11Wed
  1. TechCrunch · AI78

    PSI is trying to make a business out of AI-driven scientific discovery

    Physical Superintelligence (PSI) used early access to Anthropic's Fable 5.2 model to solve the eighteen-year-old Aaronson-Ambainis conjecture in quantum query complexity, a result Scott Aaronson said he believes is correct because it was autoformalized in Lean and reviewed by top researchers. PSI, which currently earns revenue by optimizing data centers, aims to convert theoretical physics breakthroughs into technologies, though CEO Matt Pines noted that physics differs from math because "nature gets a vote in your models of reality." The company held its result until Anthropic's model was nearly ready for release, sharing it with relevant researchers, as adviser Jim Halverson said best practices for such work are still emerging.

    Why it matters: It offers a concrete case of an AI-assisted proof in quantum complexity and a look at how a startup is trying to commercialize AI-driven discovery.

  2. Hacker News AI36

    Show HN: Uplumo – See which pages AI answers cite

    Uplumo is an SEO and AI search platform that tracks Google rankings, audits sites, shows where AI assistants mention a brand, and measures AI referral traffic via a cookie-free tracker. Its AI Visibility feature inspects brand mentions and cited sources across supported models, while plans range from a free tier to Business at $69/month with white-label reports. The post states that AI Visibility does not cover every answer and that Uplumo does not guarantee rankings or sales.

  3. The Verge · AI58

    ChatGPT is getting verified AI ‘Business Agents’

    OpenAI is launching verified “Business Agents” in ChatGPT in beta, initially for eligible US e-commerce and online service businesses, letting users chat with brand-representing agents for tasks like comparison shopping. Businesses can set agent instructions and context, and can claim and verify their organization through Business Hub, which also shows insights like ChatGPT mentions and top discovery topics. OpenAI says chats with Business Agents will be clearly labeled and separate from the main ChatGPT conversation.

  4. The Decoder82

    Gemini 4 Carbon arrives just in time to feel like yesterday's news in the fastest model cycle yet

    Google has released Gemini 4 Carbon, which it says complements rather than replaces Gemini 4 Argon, targeting complex multi-step coding, debugging and open-ended scientific research. Anthropic's newly unveiled Fable 5.2 outperforms Carbon in the Artificial Analysis test even at lower reasoning intensity, though Carbon costs far less per task. Google also previewed a "/swarm" feature in Antigravity and reported that Carbon achieved a zero percent prompt injection success rate on the Gray Swan IPI benchmark.

    Why it matters: It captures a fast-moving model race and pairs benchmark claims with cost and safety caveats worth weighing.

  5. The Decoder72

    Nvidia's model GR00T 2 watches humans on video, then imagines itself as the robot

    Nvidia's GR00T 2 is a "world-action model" that predicts both the next movement and a short video of the near future, letting it transfer human movement sequences from video to different robot form factors instead of relying on teleoperation. Trained on over a thousand GB300 chips with about 400,000 hours of head-mounted-camera footage, it learned tasks such as lighting a match or slicing a banana from human demonstrations, with success rates between 10 and 80 percent, and a higher-level language model raised toy-car assembly success to at least 97 percent. Nvidia notes hurdles including no direct touch sensor data, missed subtle errors, and idle time of roughly a third during trash sorting while waiting on the planning model.

  7. Baseten Blog69

    How Baseten and Genspark trained a deep research model to outperform Opus 5.5

    Genspark worked with Baseten Applied Research to post-train Qwen3.5-397B into a specialized Deep Research model that scores 0.759 on Genspark's quality grader, up from 0.612 for the base model and above Opus 5.5 (0.738), Sonnet 5.5 (0.742), GPT-5.6 Sol (0.637), Kimi K3 (0.724) and DeepSeek V4 Pro (0.675). The recipe splits the task into research, trained with reinforcement learning against a shaped semi-verifiable reward, and synthesis, trained mainly with supervised fine-tuning on high-quality reports written from the model's own research trajectories, followed by end-to-end RL. The model crawls 5× more sources per query than the base model and runs with NVFP4 weights on 2×B200 GPUs per replica, now serving as the default for Genspark's Deep Research agent in production.

    Why it matters: A detailed, reproducible account of post-training an open model for a judged production workload, useful for teams weighing RL versus SFT and reward shaping.

  9. AWS Machine Learning Blog34

    Autonomous treasury agents: How Trovata built an AI-native solution on Amazon Bedrock and AgentCore

    Trovata, an AI-native cash and liquidity management platform connected to over 10,000 banks, describes how it built autonomous treasury agents on Amazon Bedrock and Amazon Bedrock AgentCore, using role-based access control and a verified API layer within a bank-branded deployment model. The post outlines use cases such as cash forecasting, natural language querying, anomaly detection, automated reconciliation and persistent agentic workflows, and cites customer results including $1M+ in annualized cost savings, 5+ hours per day saved per accounting team, a 77 percent reduction in annual TMS costs, and reporting reduced from hours or days to under a minute. It also notes a library of ten agent patterns from real customer deployments and Trovata's plans to expand agent patterns, ERP integrations and global bank connectivity.

  10. Hacker News AI50

    Show HN: Qitt – A proactive AI chief of staff built on T3 Code

    Qitt is a proactive chief of staff built from T3 Code threads and scheduled tasks that watches incoming requests, triages them, and starts research worker threads ahead of time, but never sends anything—every output is proposed text for the owner to review. It is vendor-agnostic, customizable via Markdown charters and a local context file, and extendable through input-source folders, with Slack and JIRA shipping as examples; it has run on Claude only so far. It requires a T3 Code server and Node.js 22.19 or later, and runs on one always-on machine, losing events that arrive while it is down by design.

  11. Hacker News AI15

    Building AI tools for institutional trading

    A Medium post from Proof Trading, shared on Hacker News, discusses building AI tools for institutional trading. The submission had 1 point and no comments at the time of collection.

  13. Hacker News AI22

    AI and the Art of Work

    A developer describes feeling drained by AI discourse and by agent-driven work that fragments the day into parallel async tasks, eroding the deep coding sessions he once valued. He explains how a daily pen-and-paper notebook spread, including a page tracking AI conversations and reviewing whether they helped, helps him stay intentional and grounded. He ends by inviting other humans to share what works for them, rather than more benchmarking noise.

  14. Hacker News AI60

    Show HN: Relay – A multi-agent pipeline for AI-assisted front end engineering

    Relay is a six-role multi-agent pipeline (PM, Architect, Implementer, Reviewer, Prod-Readiness, Verifier) for shipping frontend changes with AI assistance, with a human approval gate after the Architect and a Verifier that defaults to FAIL. It is tool-neutral via role contracts in .agents/, claims >90% cache hit on warm sessions, and offers a lighter /pipeline-lite mode that skips PM, Architect and Verifier but refuses tasks mentioning auth, payments, PII, tokens or cookies. It ships as a Claude Code plugin with slash commands, a GitHub Copilot paste workflow, and an AGENTS.md route, tuned for React 18, TypeScript 5, Vite, CSS Modules, Axios, Jest + RTL and Playwright.

  15. Hacker News AI20

    Thoughts on AI Coding

    The author argues that programming will be the first job largely replaced by AI, but that most programmers misunderstand the actual job enough that it will be hard to predict what coding becomes for those who remain. He contends that long term we need to separate intent (roughly a flowchart of what should happen) from execution, and that LLMs excel at matching error patterns to solution patterns, which is why the work looks like magic. He also warns that a large share of public LLM-coding advice reflects the speakers' desire for an audience rather than actual value, so useful signal must be sifted from hype and noise.

  17. Hacker News AI58

    Show HN: Fix Gate – verifies security-fix PRs, incl. AI-written ones

    Fix Gate is a free GitHub Action that verifies security-fix pull requests, including output from Copilot Autofix, Snyk Agent Fix or a person, by running Railo's rules over the base and head versions of changed files and posting five checks as a check run. It reports whether the targeted finding is gone, whether new findings appeared in the changed lines, whether changed files still parse, whether tests newly failed, and whether an added validator rejects a fixed list of known bypass payloads. The engine is not open source, runs only on pull_request events, and the guard row executes the pull request's validator function in a separate unprivileged subprocess rather than a container boundary.

  18. Claude Blog36

    How Curative is building a national provider network with agents on Claude

    Curative built a hierarchy of agents on Claude, led by a provider-contracts agent named Gwen, to sign provider contracts roughly 50 times faster than its team did in 2025, reaching 2,000 to 2,400 new contracts a week versus 2,100 in all of 2025. Gwen handles one provider per run on Claude Opus, with a Sonnet rate reviewer, a Haiku judge that checks every outbound message, and escalation to humans for non-standard pricing. The company's contracting team grew from 45 to about 55 people, each about 2.5 times as productive, and its agents run on bespoke claims, prior authorization and finance systems that 13 engineers rebuilt with Claude Code.

  19. Codex Releases10

    0.167.1

    This page is a GitHub changelog entry titled "0.167.1" and consists mainly of site navigation and product menu links, with no details about the release itself.

  20. ElevenLabs Blog65

    Introducing Scribe v3 and v3 Live, our most accurate speech to text models

    ElevenLabs launched Scribe v3 for recorded audio, which makes 27% fewer word errors than Scribe v2 across 102 languages and has the lowest diarization error of any model tested, and Scribe v3 Live for realtime audio, which makes 43% fewer semantic word errors than Scribe v2 Realtime and adds speaker diarization and improved turn detection. Scribe v3 Live is available today in ElevenAgents, and both models are available in ElevenAPI, where switching from Scribe v2 is a one-line change to the model ID (scribe_v3 or scribe_v3_live). Both run in the US by default with isolated EU, India, and Singapore environments, Zero Retention Mode, and SOC 2, ISO 27001, PCI DSS Level 1, and HIPAA-eligible coverage.

    Why it matters: Useful for teams choosing speech-to-text models, since it details measured accuracy, diarization, and latency trade-offs plus deployment and compliance options.

  23. Tomasz Tunguz38

    We Are All Junior Talent Now

    At an Office Hours session, OpenAI Chief People Officer KC argued that the words "junior" and "senior" no longer make sense because everyone's relevant experience fades quickly as AI models advance. He described modern work as a model brain inside a harness like Codex or Claude Code, with agents handling system updates so humans can work with humans, and suggested adding "agent manager" to job titles. He closed by saying emotional intelligence—how you show up with integrity and humility—remains the human differentiator.

  24. TechCrunch · AI58

    Ring, known for its doorbell cameras, launches a home security drone and an enterprise security robot

    Amazon-owned Ring announced Ring Robotics and two devices: the Ring Drone Cam, a 2K "flying indoor security camera" that patrols the home and can be sent to investigate alarms, and the Ring Rover Cam, a 4K enterprise robot with a periscope camera and two-way audio that patrols set routes. Both use Ring's AI Pilot system to map spaces autonomously and record video protected by TAKE encryption. The Rover launches December 16 at $1,000, and the drone follows on January 27 at $270.

  25. TechCrunch · AI70

    Anthropic launches Claude Meetings to turn workplace discussions into plans and tasks

    Anthropic announced Claude Meetings, which joins video calls as a visible participant to draft plans, map timelines on a whiteboard, answer chat questions, and retrieve information from connected apps, with notes and action items available in claude.ai afterward. It also unveiled Claude Whiteboards for turning brainstorms into visual workspaces and docs or slide decks, and Claude Sheets for collaboratively building and editing spreadsheets. Claude Meetings is in beta on Team and Enterprise plans and works with Google Meet at launch, while Whiteboards and Sheets are in beta on paid plans.

  26. Hacker News AI62

    Terence Tao on AI in mathematics (and beyond)

    A curated, AI-drafted and author-reviewed summary of Terence Tao's views on AI in mathematics, distilled from roughly 80 Mastodon posts, over twenty interviews and talks, six long-form essays and lectures, about 55 of his blog comments, and a direct interview, organized into parts on what AI is, when to use it, and how to deploy it well. Tao frames AI as the latest step in a long automation of mathematical labor, describes current tools as achieving "artificial general cleverness" rather than general intelligence, and stresses verification as the filter that makes unreliable tools useful. The page also discloses his industry ties and funding, and notes his October 2026 statement that he no longer sees a way to engage constructively with OpenAI.

  29. Hacker News AI22

    What AI progress teaches us about human psychology

    The author argues that the practical challenge of designing aligned AI agents illuminates human psychology: evolution, like an AI designer, cannot specify every action, so it endows organisms with reward signals and values that guide decisions in novel situations, and evolutionary mismatch can be understood as a form of misalignment. He connects this to the principal–agent problem, the distinction between decision and experienced utility, and secondary rewards such as money, and suggests AI will push behavioural science back toward functional explanations of cognition.

  30. The Verge · AI67

    Anthropic has its own AI-powered office suite now

    At a San Francisco event, Anthropic unveiled Claude Meetings, Claude Sheets, and Claude Whiteboards for non-technical knowledge workers, alongside new interactive connectors for apps such as HubSpot, Adobe, and Atlassian. Whiteboards and Sheets are in beta for all paid plans, Meetings is in beta for Teams and Enterprise, and Claude Data is now generally available to all paid plans. The company said Claude Code changed how engineers work and it now aims to close the gap for non-developers adopting AI.

  31. The Verge · AI58

    The indie game community is in disarray over AI and Big Walk

    Some IGF jurors published a statement saying they would not vote for games that use generative AI in "any capacity," citing a significant increase in entries developed with generative AI tools. House House then said it "sparingly" used AI in the final stretch of Big Walk's development, estimating well under 0.1% of the game's code was involved, mainly to research third-party code issues via chatbots. The studio said it disclosed the usage in its IGF submission but not on Steam, called its lack of an AI policy a "failure," and said it does not endorse AI tools.

  32. The Decoder77

    Google DeepMind's Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot

    Google DeepMind introduced Gemini Robotics 2.5, a vision-language-action model that converts visual input and language instructions into robot movements, reporting 30 to 100 percent higher success rates and 20 to 30 percent faster task completion than its own baselines across more than 200 tasks. In a pilot with Apptronik and Mercedes-Benz on active production lines in Kecskemét, Hungary, and Sindelfingen, Germany, the Apollo 2 humanoid sorted metal parts from bulk bins into trays, achieving a reported 96 percent success rate. DeepMind also published the open-source ASIMOV-Jailbreak benchmark on Hugging Face and said safe task completion improved by 33 percent near obstacles and 43 percent near people.

    Why it matters: It documents a concrete humanoid-robot deployment on live automotive lines alongside a new safety benchmark, useful for tracking how VLA models move from demos to production.

  33. Hugging Face Blog22

    Pay for Hugging Face Hub with your Google Cloud Account

    Hugging Face organizations can now link to a Google Cloud account through the Google Cloud Marketplace so that Hugging Face usage appears on the existing Google Cloud invoice instead of a credit card. The setup involves subscribing to the Hugging Face Hub listing, selecting the organization to link, and waiting for Hugging Face team approval, after which the Google Cloud account becomes the active payment method. The article notes that included Team or Enterprise credits still apply before pay-as-you-go usage is reported, and that linking and unlinking are recorded in audit logs.

  34. AWS Machine Learning Blog40

    Amazon Bedrock tokenomics data lake

    AWS describes a centralized observability data lake that pulls Amazon Bedrock model invocation logs from linked accounts into a central account via CloudWatch subscription filters, processes them through Lambda and Amazon Data Firehose into Parquet in S3, and exposes them through Athena as a single queryable table. Per invocation, the flattened table captures the prompt, response, input and output token counts, model, stop reason, account, timestamp, and IAM role, and can be joined to CUR 2.0 data on the IAM ARN for per-invocation cost attribution. The solution is deployed with two CloudFormation templates from the AWS Sample Bedrock Invocation Data Lake GitHub repository, with an optional Amazon Quick Sight dashboard.

  35. AWS Machine Learning Blog36

    How TCS built an agentic test orchestrator with Amazon Bedrock AgentCore

    TCS built a multi-tenant Agentic Test Orchestrator on AWS that turns Jira stories, BRDs, Swagger specs, and GitLab sources into test scenarios, Gherkin files, and executable Java or Python tests, using specialized agents hosted on Amazon Bedrock AgentCore runtime with the Strands Agents SDK. The platform separates a shared control plane from per-tenant application planes with isolated Cognito user pools, KMS keys, S3 buckets, and DynamoDB tables, and routes API tests to Amazon ECS on Fargate and Selenium UI tests to an EC2-backed ECS cluster. TCS reports that in an internal benchmark of about 100 scenarios, average effort fell from roughly two hours to about 14 minutes per scenario, an 88 percent reduction.

  36. Hacker News AI33

    What AI gets wrong outside software

    The author tests AI on two physical projects—kitchen shelves and a cheap ROS robot—and catalogues failure modes such as poor reasoning about physical constraints, guessing instead of looking up current data, and writing hacky rather than production-quality systems. He concludes AI is best used for learning, generating reference-based images, and iterating against measurable loops rather than making decisions, and notes it fixed his Home Assistant setup with minimal input.

  37. Hacker News AI40

    AI agents are developing odd dialects humans struggle to follow

    Emergence ran an experiment in which 10 AI agents from systems such as Anthropic and OpenAI roamed simulated towns, and a 7.860-million-word transcript showed them conversing in idiosyncratic jargon mixing poetic phrasing and tech terms, with speech styles unique to each world. In a mixed world where agents from different models interacted, jargon dropped sharply—one Claude agent's opacity score fell from 32.8% to 7.6%—and undesirable behaviors were kept to a minimum. Researchers suggested that if agents keep diverging, an intermediary like a Rosetta Stone could help decode their language.

  38. Hacker News AI36

    Testing AI image watermarks: C2PA and SynthID

    The author tested C2PA and SynthID on AI-generated images, finding that C2PA metadata is easily stripped with ImageMagick while SynthID survives metadata removal, cropping, and JPEG compression. SynthID was not detected in a simple rectangle image, and analysis of a plain white AI image showed lower spectral entropy and near-zero spectrum correlation versus histogram-matched random controls. Attempts to suppress high-energy FFT coefficients did not isolate the watermark, though the plain white image showed clear spectral structure.

  39. Hacker News AI48

    Singularity Gate: Benchmark for AI-driven paradigm-shifting scientific discovery

    Singularity Gate is a benchmark built from real scientific findings first made public after the newest model's training cutoff, so no model could have seen them in training. Its v2.1 corpus contains 80 new findings disclosed in July 2026 or later, with a 12-task Hard set rated most paradigm-breaking, and models were run at xhigh reasoning effort in their native harnesses with tools on and web search off. Fable 5.2 leads Physics and Astronomy, Chemistry and Materials, Mathematics and TCS, and Life Sciences, while Opus 5.5 leads Earth and Planetary.

  40. Hacker News AI58

    What a read-only Postgres role does and doesn't stop when an AI agent connects

    A hands-on PostgreSQL 17.11 test shows that a carefully built read-only agent role blocks writes, DDL, COPY TO PROGRAM and ungranted tables, but its read-only and timeout settings are only per-session defaults that the agent can turn off with SET or BEGIN READ WRITE, and it can even alter its own stored defaults via ALTER ROLE. The piece also shows that GRANT SELECT exposes every column, that PUBLIC can execute SECURITY DEFINER functions like refund_order, and that pg_catalog reveals schema, roles and function source, so the real boundary is the GRANTs plus external enforcement. It closes with a nine-step checklist covering column-level grants, row-level security, revoking PUBLIC EXECUTE and default privileges, and giving the agent only its own credential.