Venzx is a Show HN project that intercepts AI agent tool calls and returns a verdict of allow, block, or pause for a human before the action proceeds. Its demo shows an agent attempting to send a refund confirmation email to a customer, and it writes a signed audit log for every decision that reports which row was altered if the log is edited.
Disney and Adobe announced a multi-year partnership at Adobe's MAX conference, under which Disney gets early access to new Adobe technology for its theme parks, cruise line, and ESPN content. Adobe will use Firefly Foundry to build custom models trained on Disney characters, environments, and visual styles to produce commercially safe, production-ready output, while Disney's Imagineering division already uses Firefly for theme park development. The deal also covers Walt Disney Studios' StudioLAB and ESPN Edge, where AI is meant to boost fan engagement for sports content and unlock new uses for ESPN's archive.
Latent Space's first deep dive with an AI data company examines Handshake's AI training business, which went from launch to $1 billion in gross annualized revenue in roughly a year. The episode walks through live demos of reinforcement learning environments across finance (Project Falcon's Excel grader), life sciences (the VIALS benchmark for scientific images), and safety/alignment simulations, with segments on how frontier labs buy and evaluate data.
A Texas Observer article, shared via Hacker News, examines the AI boom's connection to nuclear energy, climate change and Texas data centers. The Hacker News submission had 1 point and 0 comments.
Portals, previously available in orbs, now work on local machines, letting you ask Amp to start a dev server or build a website and open it from the thread's Portal tab regardless of location. Enable them via Allow Portals under Settings › Runner in the macOS app or by starting your runner with amp --no-tui --remote-control-portals; portals on your runner are accessible only to you. To share them with your workspace, start a shared runner with --share or turn on Share With Workspace in the macOS app.
A Rest of World article reports on a rare strike in Taiwan that it says exposes labor unrest beneath the global AI boom. The piece is at restofworld.org/2026/taiwan-labor-strike-ai-profits/ and was submitted to Hacker News (item 50427856).
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.
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.
A CEPR VoxEU column argues, using 140 years of data on new jobs, that fear of AI-driven job displacement is overstated and identifies what should be worried about instead. The item links to the article and a Hacker News discussion thread.
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.
Bloomberg reports that the EU is planning a crackdown on addictive social media and AI chatbot features under a draft law. The article is available at the linked Bloomberg URL.
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.
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.
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.
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.
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.
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.
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.
A link to an article titled "AI-Assisted Coding: Working Well with Coding Agents" at nokku.payanai.com, submitted to Hacker News with 2 points and no comments.
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.
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.
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.
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.
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."
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.
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.
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.
A blog post describes an experiment in which AI is used to remaster the 2006 game Eets, as a way of testing AI's capabilities. The post is linked from Hacker News, where it had 2 points and no comments at the time.
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.
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.
A Hacker News submission links to a Scott Aaronson blog post titled "Aaronson-Ambainis Conjecture proved (By AI, of course)" at https://scottaaronson.blog/?p=10295. The submission has 1 point and 0 comments.
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.
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.
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.
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.
Askaboard is a free canvas tool that lets you connect Claude, ChatGPT or Cursor over MCP using your existing subscription, so your agent can draw, write and make shapes on the board. The agent sees what you write, checks your work and explains concepts until they click.
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.
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.
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.
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.