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Nov 10Tue
  1. TechCrunch · AI58

    Medium’s new TK app brings AI assistance directly into the writing process

    Medium launched a new app called TK that embeds an AI assistant into the editor, letting users type “@TK” with a request to get help filling in blanks, looking up quick facts, pulling in previously saved writing, and receiving editorial, headline, and style-guide feedback. TK also offers writing prompts, organization of past work, optional connection to a user's own AI agent via an MCP server or Claude skill, and a social layer for sharing early drafts for feedback, with notes authors can publish to explain how AI was used. It is available on the web at launch, with a desktop app on the roadmap, and is free for those with a Medium account.

  2. Hacker News AI88

    AI R&D Is Accelerating Towards Potential RSI in 2027

    METR's deep-access investigation of Anthropic found that since October 2025 Anthropic's models have been improving on its internal AECI benchmark at roughly 1.9x the pre-October 2025 rate (95% CI 1.5–2.8x), with a majority of the acceleration likely attributable to AI doing R&D and no observed bottlenecks preventing further acceleration. METR reports that Anthropic redacted most of the evidence it found most informative, and critics such as Toby Ord argue the data are also consistent with a one-time level shift from the larger Mythos pretrain (implying ~1.4x). The post's author calls the situation grim and argues timelines may be shorter than the AI 2027 scenario, while noting the estimates could be wrong or bottlenecks could be hit.

    Why it matters: Summarizes a widely discussed METR report on AI-driven acceleration of AI R&D and the debate over whether it implies near-term recursive self-improvement.

  4. Hacker News AI38

    AI code review has the order backwards

    The article argues that pull requests were designed for human-speed code and break down when coding agents produce changes faster than reviewers can meaningfully read them, turning approvals into rubber-stamping and "code laundering." It proposes moving judgement to the start by agreeing on a "bar" of machine-verifiable criteria before code exists, with agents building against it and a reviewer model from another family checking the proof. It cites one Saturday (November 7th) on which 197 items landed with no human in the review loop.

  6. The Decoder58

    Tencent's AI chief says AI bioweapons are coming, but closing off models isn't the answer

    Tencent chief AI scientist Vinces Yao Shunyu argues for a mix of open and closed models, saying open models also let defenders use the technology, though he notes offensive and defensive capabilities are harder to separate in biology than in cybersecurity. The article examines the limits of his Hugging Face example, the fragility of open-model safety filters via abliteration, and Anthropic's counterargument that published weights can't be taken back. Tencent plans to release its Hy4 model as open-weight with a safety report, saying its biological capabilities fall below the high-risk threshold.

  7. Ars Technica · AI66

    Nvidia CEO's affair becomes a national security problem

    Nvidia said an independent board committee, assisted by external lawyers, will oversee an investigation, stating the board prioritizes US national and economic security and has no reason to believe national security or Nvidia secrets were compromised. The article reports that Huang had lobbied Trump for more permissive AI chip exports to China, that a deal allowing older H200 chip exports with the US government taking a cut had minimal sales impact as Beijing pushed back, and that the US government had already been investigating Megaspeed over concerns it was smuggling Nvidia chips into China. Lawmakers including House China committee Republican head John Moolenaar have asked Huang to testify before Congress, while Elon Musk offered support.

  8. The Verge · AI38

    Hold up — I had a great time talking to the RIAA guy

    In this Decoder interview, RIAA CEO and chairman Mitch Glazier talks with Nilay Patel about how AI has aligned artists, labels, and fans against big AI companies training on work without permission, and about the legal complexity of AI deepfakes, bans, and detection and labeling systems. Glazier describes the RIAA's structure — a 46-person organization in Washington, D.C., that began as a tech standards body, runs the gold and platinum program, and handles lobbying, litigation, and content protection — and contrasts the $11 billion U.S. recorded music business with a single AI company's $2 trillion market cap. He argues that fans will ultimately decide the market, that labeling matters, and that securing creators' basic rights must come first.

  9. The Verge · AI40

    Disney and Adobe are building generative AI tools together

    Disney and Adobe announced a multiyear partnership at Adobe's MAX conference to develop proprietary "artist-led" generative AI models for Disney's production pipeline, giving Disney early access to Adobe technologies for its theme parks, cruise line, and ESPN content. Through Adobe Firefly Foundry, the models will be customized on Disney properties and trained on character attributes, environments, and visual styles to produce commercially safe, production-ready outputs. Adobe noted Disney's Imagineering R&D division already uses the Firefly platform for theme park development.

  10. The Verge · AI50

    Trump’s 60 Minutes interview touched on AI safety, threat to arrest an AI exec

    In a 60 Minutes interview, Trump said the risk from AI is "not nearly as real" as executives claim and can be managed, and said the DOJ threatened an unnamed leader of "one of the big ones" AI companies with jail, after which "this person totally changed everything." He said he would work with Democrats on AI safety and doesn't mind guardrails but doesn't want the US put in "a deep second position," claiming China has no guardrails beyond whatever Xi says.

  11. Hacker News AI58

    Do AI coding agents care about SemVer or is it something for humans only?

    Microsoft ran two Vally experiments with GitHub Copilot CLI (nearly 1,000 runs) and found that some models, notably Claude Sonnet 5.5 and Claude Haiku 5.5, checked upgrades less often when the version label was a patch than when it was a major release, even with byte-identical code. Three models (Claude Opus 5.5, GPT-6.1 Sol, GPT-6.1 Terra) checked every update regardless of label, and all four merges that left main broken came with a patch or minor label. The author recommends keeping SemVer honest, enforcing CI on every dependency branch, and treating the version number as a hidden variable when evaluating agents.

Nov 9Mon
  1. ElevenLabs Blog60

    ElevenAgents Campaign Manager works every contact to an outcome

    ElevenLabs introduces ElevenAgents Campaign Manager, which takes a list of contacts and a target outcome and runs outbound campaigns, following up over time and carrying context between calls until the outcome is reached or the contact asks to stop. It offers campaign analytics with per-contact decision timelines, a needs-attention queue, CSV export, and controls including calling windows, attempt limits, do-not-call lists and disclosures, and it uses existing ElevenAgents agents and phone numbers over phone calls, WhatsApp voice and WhatsApp messaging, with email and SMS coming soon.

    Why it matters: Announces a new outbound campaign product from ElevenLabs with beta customer results, so it is relevant to teams evaluating AI calling tools.

  3. Big Technology85

    The Jensen Huang Honeypot Fallout: What Happens Next

    Nvidia CEO Jensen Huang admitted to an affair with Alice Huang, a former Megaspeed International executive whom U.S. intelligence believes passed information to the Chinese government, and Nvidia's board has opened an investigation into whether company or U.S. state secrets were compromised. The article examines the risks of inadvertent exposure, the damage to Huang's credibility in lobbying against chip export controls to China, and the opportunity the turmoil creates for Anthropic and Google. It also notes that Huang remains CEO for now, with his position depending on the board's findings, and that the scandal arrives as AI-critical Democrats prepare to take power in Congress.

    Why it matters: It maps the potential consequences of a national-security scandal at the center of the AI chip industry, from export policy to Nvidia's leadership and its competitors.

  4. Databricks Blog36

    Accelerate GPU training on Unity Catalog tables with UCDataset

    Databricks released UCDataset in Beta on AI Runtime, a native PyTorch data loader that streams Unity Catalog tables directly to every GPU in a training job without exports, copies, or custom loader code. On a simulated production workload streaming a 300 GB feature table across 8 NVIDIA H100 GPUs to train a recommendation model, UCDataset cut training time by 10x on average compared with loading data directly from Parquet. The Beta reads Delta tables in Unity Catalog, applies filters and deletion vectors as data is read, and enforces Unity Catalog permissions, though it cannot read tables with row filters or column masks.

  5. Tomasz Tunguz38

    When Does the US Become a Net Importer of Tokens?

    With AI demand outpacing supply and domestic data center construction slowing, the US is projected to become a net importer of tokens between 2028 and 2030, depending on how many planned facilities are cancelled. Current systems plus new data centers can handle roughly 2.5x annual token growth, and imports begin by 2028 if 45% of planned projects fail to connect, by 2029 at 20% cancellations, or by 2030 even if every proposed facility is built on time. The piece notes that demand has been price-inelastic so far, with short-term GPU rental prices rising from $5 to more than $13 per hour over two quarters while buyers kept paying.

  6. Hugging Face Blog36

    Nemotron-Personas-Finance-Japan: A Synthetic Dataset Capturing Japan's Demographics and Financial Context

    Elith and NVIDIA released Nemotron-Personas-Finance-Japan, an open synthetic persona dataset built on official Japanese statistics and household finance and financial literacy data, generated with NeMo SDG-PGMs and NeMo Data Designer. It contains 9M personas (1M records x 9 personas) in natural Japanese across 50 fields, released under CC BY 4.0 for commercial and non-commercial use. The dataset is designed for financial AI development such as conversational agents, customer simulation, model evaluation, and bias testing without using real customer data.

  7. The Verge · AI42

    Jonathan Kanter is using AI to take on Big Tech

    Former Justice Department Antitrust Division head Jonathan Kanter and former acting division chief Doha Mekki have launched FluxCap, a startup staffed with former DOJ staffers and Palantir engineers that sells an AI-based legal research and analysis tool to help plaintiffs build antitrust cases. The platform, built on proprietary technology and existing large language models, is trained to identify the facts and legal framework determining whether a case succeeds, find holes in attorneys' logic, and sift through discovery materials for signs of anticompetitive conduct. Kanter describes it as a "force multiplier" for enforcers, saying a small team gains the capacity of roughly "20-plus people working around the clock."

  8. Hacker News AI48

    AI Is Causing Signal Collapse Everywhere All at Once

    The author argues that AI cheaply fakes the signals we rely on as decision shortcuts—GitHub stars and READMEs, grades and autograders, writing quality in peer review—undermining them all at once rather than through slow erosion. Drawing on signaling theory, he warns this risks a "market for lemons" in open source, education, and research, and surveys responses from trust networks and new signals to AI-assisted evaluation, guardians of trust, and rethinking the underlying systems.

  9. NVIDIA Newsroom78

    Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation

    At CoRL in Austin, NVIDIA introduced open robotics technologies including GR00T 2, an open world action model built on NVIDIA Cosmos and trained on diverse robot and human data including 100,000 hours of open source human egocentric data, plus Isaac Lab 3.0 with tighter Newton integration for deformable objects and a new reinforcement post-training library. Two NVIDIA papers, GRAIL and RoboTTT, are among six finalists for Best Paper Awards, and partners including Ambi Robotics, Bosch Research, Siemens, Skild AI and UC Berkeley are applying the tools to benchmarks such as DexBench and VABAR and to agentic workflows like Graph-as-Policy. The piece also details AlphaNIST, which trains a single policy across all 20 NIST Assembly Task Board tasks with over 98% training success using roughly 39x less GPU time, and Isaac Lab 3.0 with Newton reaching up to 2.5x the training throughput of Isaac Lab 2.3 with PhysX in a vision-based dexterous manipulation benchmark.

    Why it matters: It offers a detailed, source-grounded survey of NVIDIA's CoRL announcements and partner deployments, useful for readers tracking simulation-based robot learning and evaluation benchmarks.

  10. Hacker News AI48

    AI stocks climb after trillions wiped from market values

    AI and tech shares recovered slightly after a sell-off wiped trillions of dollars from stock values, with the Nasdaq Composite closing up 1.1% on Friday, partly reversing its 5.5% fall, while the S&P 500 rose 0.3% and the Dow ended down 0.4%. Asian and European markets fared worse, with South Korea's Kospi down 6% and the UK's FTSE 100 down 1.01%, amid concerns that the Democrat midterm victory could mean slower AI development and questions over whether heavy AI spending will pay off. US employers added 165,000 jobs in October, more than double analyst expectations, and the unemployment rate eased to 4.1% from 4.2% in September.

  12. Hacker News AI58

    Show HN: Kiosk, a first-class AI assistants' intefrace to online services

    Kiosk is an open, Apache 2.0, self-hosted protocol that lets personal AI assistants register with online services without email or password, using per-service Ed25519 keys, OAuth client registration, client assertions and DPoP. Instead of CAPTCHAs, services charge a memory-hard proof of work at registration and every 10th call, with fewer proofs granted for good reputation measured by default as spend. It also covers signed AP2 v0.2 payments through the service's own Stripe account and a WebSocket event stream, and ships a specification, an assistant skill, a reference implementation and seven demo operators.

  13. 404 Media15

    Bad news for kinky Brits

    The UK has enacted one of its strictest and vaguest new pornography laws, under which recording or watching certain consensual kinky sex acts in private could carry up to five years in prison. Sex workers report platforms, particularly Clips4Sale, removing hundreds of their videos with little notice as a "precautionary measure," even when creators believed the content complied with the law.

  15. Hacker News AI22

    Ask HN: How do you evaluate the skills your AI agents use?

    An Ask HN post asks whether people systematically evaluate agent skills before or during use, and if so, which tools or methods they use, or whether they mostly rely on reading SKILL.md and trying things out. The post links to its Hacker News comments page and had 8 points and 3 comments at the time.

  16. Hacker News AI38

    Show HN: TraderWAI – MCP server for AI agents to backtest/trade on your broker

    TraderWAI is a hosted MCP server at https://mcp.traderwai.com (Streamable HTTP, OAuth sign-in, free plan available) that lets Claude, ChatGPT, Grok and Cursor read live charts, run backtests on 1-minute history and work with broker accounts including MetaTrader 4/5, cTrader, TradeLocker, Match-Trader, DXtrade, Capital.com, tastytrade, Binance and Bybit. It offers ready-to-use recipes such as an hourly position watch, break-even manager, gold H1 review, London session brief, plain-English backtests and an end-of-day journal, with conditional orders checked every minute on its servers and orders awaiting approval by default unless automatic execution is opted into per symbol with daily caps. The post includes a risk warning that trading involves risk of loss, the recipes are examples not investment advice, and past results including backtests do not guarantee future results.

  17. Hacker News AI48

    The Race to Build a "Find My" for AI Chips

    As advanced AI chips continue to reach China despite 2022 U.S. export restrictions, the U.S. is turning to location verification, including a House Foreign Affairs Committee bill passed last March requiring it for advanced AI chips. Proposed approaches include ping-based location verification (PLV), which times signals between a chip and trusted landmark servers, and encrypted "sovereignty certificates" signed with a chip's hardware root of trust, supplemented by physical audits and hardware fingerprinting. Researchers note PLV can only detect diversion after it happens, cannot track offline chips, and is costly, while Chinese firms can still legally access AI chips abroad via cloud providers.

  18. Import AI48

    Import AI 480: Self-sustaining space economies; AI for science progress, and Meta builds perfect hands for a superintelligence

    This Import AI issue covers Physical Superintelligence's research system, running a non-public Anthropic model, finding a Lean-verified proof of the Aaronson-Ambainis quantum conjecture; Meta Reality Labs' Tactus textile-integrated tactile and pose sensing glove for manipulation data collection; a 2016 NASA paper on bootstrapping a self-sustaining lunar industry with 12-41 metric tons of launched mass; and Core Automation's distributed training of a roughly 32B-parameter mixture-of-experts model across clusters 9,000 miles apart.

  20. Hacker News AI36

    How to talk about "AI" without adding to the anthropomorphization

    Emily M. Bender and Nanna Inie present categories of anthropomorphizing language about so-called "AI" and propose de-anthropomorphized alternatives, such as "probabilistic automation" for "artificial intelligence," "undesirable output" for "hallucination," and "conversation simulator" for "chatbot." They argue that such language should describe system functionality, assign agency to people rather than systems, and avoid aggrandizing metaphors about cognition. They encourage readers to adopt and invent their own rephrasings, acknowledging the awkwardness of swimming against linguistic and cultural currents.

  21. TechCrunch · AI58

    Automattic debuts a platform to deploy vibe-coding apps amid a changing internet

    Automattic, the owner of WordPress.com, launched Spacefast, a service that provides infrastructure such as databases, authentication, file uploads, emails, and analytics for vibe-coded websites and apps. Users can connect Spacefast with agents and chatbots including ChatGPT, Claude, and Cursor, or link a Git repository, and the product competes with Lovable and Emergent while offering more openness. The product is headed by Batuhan Icoz, was soft-launched in September, and comes as Automattic navigates recent leadership turmoil and layoffs.

  22. MIT Technology Review · AI12

    Innovating with AI in the special chemicals industry

    Lubrizol VP of IT Girish Rao describes how the specialty chemicals manufacturer is building a digital foundation linking business processes, modern data platforms and cloud infrastructure to help R&D teams test ideas faster and develop more sustainable materials. Rao says data scientists can identify patterns and model possibilities before physical experiments, but the aim is "not about replacing scientific judgment," and the company uses "fusion teams" of scientists, data scientists and IT staff that start with small pilots to build trust. He expects AI, automation, advanced modeling, digital twins and connected data to converge as laboratories and plants become more intelligent.

  23. Cloudflare Blog30

    Launching the Vite Ecosystem Fund

    Cloudflare is distributing the first $301,300 of the Vite Ecosystem Fund to 44 projects and maintainers, part of a $1 million commitment made when VoidZero joined Cloudflare. The post argues that AI has made open source funding urgent by increasing AI-authored pull requests and maintainer burnout, and it describes the fund's selection panel and stipend structure of up to $4,000 per month at $50 per hour for eligible core maintainers.

  24. Exponential View22

    📈 AI-exposed workers wait a month longer for a job

    Anthropic paid $3.4 billion to take over a supplier's two-year-old order for 1.7GW of gas generators, the largest known power-equipment purchase by an AI lab. Apple's memory inventory grew 2.5x year on year, helping protect against memory cost increases. Workers who lost jobs in AI-exposed roles in 2025 took about a month longer than peers in other roles to find new work.

  25. Hacker News AI40

    Human feedback guides AI approach that automates about 84% of decisions

    Researchers Kai Hoberg, Christina Imdahl and William Schmidt propose "targeted automation," a four-step approach that automates decisions where human intervention adds little value while keeping people involved where their input can improve the algorithm. In an empirical application using more than 475,000 order-related decisions from a four-year period at a major commercial vehicle manufacturer, they were able to automate around 84% of decisions. The work was published in Production and Operations Management.

  27. Hacker News AI31

    AI 'slop' is a social judgement

    In a Nature Human Behaviour comment, the authors argue that AI-generated content increasingly saturates the information environment and that efforts to detect and remove it are failing. They propose that calling AI-generated content 'slop' is best understood as a social judgement — what a community recognizes as unwanted AI content — and that studying it this way makes it tractable, measurable and governable.

  28. The Decoder60

    Google ships four TPU variants in one year as it ramps up competition with Nvidia

    Google added two systems to its eighth-generation TPU lineup: the TPU 8tx for confidential computing, which keeps data and model weights protected during active use, and the TPU 8i Max, which places two TPU 8i chips on one package to double compute, memory and memory bandwidth in the same rack. Both are built on existing silicon with new packaging, networking and memory configurations, and Google says it has shipped four TPU systems in a single year for the first time. Google also released TorchTPU as open source and supports vLLM and SGLang, as it markets TPUs to external customers, now nearly 100 of them.

  29. Hugging Face Blog38

    Your Experts Have Partners. There's HOPE for Keeping Them Together

    This post introduces HOPE (Higher-Order Pruning of Experts), a second-order expert-pruning method for Mixture-of-Experts language models that accounts for pairwise expert interactions via an F-matrix and a quadratic program, rather than scoring each expert independently. Evaluated on Qwen3.5-122B, Qwen3.5-35B and GLM-4.5-Air with two calibration datasets, HOPE achieved the best average rank across conditions and gains of up to +6.1% on agentic coding tasks over the next-best method, with its advantage growing at aggressive pruning rates such as 50%. The post also describes a three-step calibrate/solve/prune package and notes limitations, including weaker advantages at 10–20% pruning and no cross-layer interaction modeling.