All AI updates

Nvidia CEO Jensen Huang resigns amid spy, affair scandals

Nvidia's board announced that co-founder, president and CEO Jensen Huang resigned effective immediately after reports of two extramarital affairs, one with an alleged Chinese spy at Megaspeed and one with Nvidia VP Kimberly Powell, who reported to him; CFO Colette Kress was appointed interim CEO and former Synopsys CEO Harvey C. Jones became the company's first board chair. The board is searching for a permanent CEO and will consider internal and external candidates, with Kress, Apple's Johny Srouji, Nvidia VP Ian Buck, AMD CEO Lisa Su and Arm CEO Rene Haas reportedly at the top of the list. Huang, who led Nvidia since its founding in 1993, had admitted being "unfaithful" to his wife in a memo to employees over the weekend.

Featured coverage of this story: 《NVIDIA Announces CEO Transition》

I reviewed the Apple HomeView, ask me anything

The Verge senior smart home reviewer Jen Tuohy says she has spent the past week testing Apple's first smart display, the $299 HomeView, in both tabletop and wall-mounted versions around her home, including as an entryway smart home control panel. She says she cooked with it, ran her smart home from it, took calls on it, and tested its new Siri AI capabilities, and that her tech-averse husband was a big fan while her teenage daughter was less so. Verge subscribers can submit questions in the comments, with answers starting at 2PM ET / 11AM PT.

NVIDIA Announces CEO Transition

NVIDIA's board announced that Jensen Huang has resigned as President, CEO and board member effective immediately, with EVP and CFO Colette Kress serving as Interim CEO while continuing as CFO until a permanent successor is named. The board appointed Harvey C. Jones, former CEO and Executive Chairman of Synopsys, as its first-ever Chair of the Board, and said it has full confidence in Kress and the leadership team. NVIDIA said it will report third-quarter fiscal 2027 financial results on Tuesday, November 17 at approximately 1:20 p.m. PT as previously scheduled.

J. Crew brings its signature approach to styling to life with Claude

J.Crew launched Style Advisor on JCrew.com, an AI stylist built with Claude Code using multiple Claude models (Fable, Opus, Sonnet and Haiku) that helps U.S. customers shop by complete outfit drawn from J.Crew's own photo shoots. Customers describe an occasion or start from a single piece and refine recommendations in a visual conversation, with every look based on J.Crew stylists' work. J.Crew plans to make it more personal over time and expand it to more markets and product lines.

Nine Korean startups vie for a spot in Disrupt 2027’s Startup Battlefield 200 competition

Nine early-stage South Korean deep tech startups pitched at DETO 2026 in Seoul for a place in next year's Startup Battlefield 200, spanning healthcare, fintech, energy, semiconductors and AI, all aiming to enter the U.S. market. Voinosis, which uses AI voice analysis to detect brain health changes, won the competition. The other eight are Awesome Lab, Crosshub, DeepFusion AI, EFLOW, Otiton Medical, Riibotics, Ternell and Testbank.

Show HN: MudGym's WebAssembly browser playground for AI agents in MUD2

The post presents MUD2, one of the earliest online multiplayer games, compiled to WebAssembly and running in a browser tab, with much of the original C engine code, some dating to the early 90s, unchanged. The examples were built alongside MudGym, a reinforcement learning environment built around the game, and most are marimo notebooks running MudGym in Python in the browser through Pyodide.

Vercel Data Shows AI Models Have Six-Week Half-Life in Production

Vercel's November 2026 AI Gateway Production Index reports that production AI models have an effective half-life of about six weeks, with more than half of October's language-model requests going to models under 60 days old and most teams abandoning a model within four weeks of its peak. Decision models reached 26% of gateway requests in October at just 0.53% of spend, voice usage rose from 4% of paid teams in July to 11% in October, and Anthropic and OpenAI were nearly level at 54 and 55 of every 100 paid teams. Image and video spending hit records, with OpenAI's GPT-Image-2.5 Sunburst leading image spend and ByteDance's Seedance 2.5 leading video spend for a third month.

The Country Building AI Is the Least Excited About It

The US invested $285.9 billion in private AI funding in 2025, yet only 33% of Americans say AI products and services make them excited, according to the Ipsos AI Monitor 2026 survey of 32 countries, compared with 83% in China and 79% in India. Pew Research data shows the share of Americans more concerned than excited about AI in daily life rose from 37% in 2021 to 52% after ChatGPT's late-2022 launch and was still 50% in 2025, even as frequent AI tool use rose to 24%. The author expects US AI use to keep rising while trust stays flat, with rules coming from states and towns first and Asia and Latin America becoming the fastest-growing markets for AI products.

Conscientious Objector: When an AI Says No [video]

A Hacker News submission links to a YouTube video titled "Conscientious Objector: When an AI Says No." The submission has 1 point and no comments.

Show HN: Indie Signals – 24h/7d momentum of new AI repos and models

Indie Signals is a Show HN project that tracks 24-hour and 7-day momentum of new AI repositories and models. The submission links to indiesignals.net and its Hacker News discussion thread.

Training a 1T-Parameter MoE on EU public infrastructure with PyTorch and TorchTitan

The EUROPA consortium (Domyn, Fraunhofer IAIS and IIS) describes scaling pretraining of a ~951.9B-parameter MoE model (32.8B active per token) on JUPITER, the EuroHPC exascale supercomputer at Forschungszentrum Jülich, raising throughput from 90 to ~1,300 tokens/sec per GPU across 384 NVIDIA GH200 GPUs per DP replica. Key optimizations built on PyTorch and TorchTitan include FlexShard placement for the Muon optimizer, activation-checkpoint offloading to the Grace CPU, and running FSDP's all-gather setup on the compute stream via unshard_async_op, freeing ~14 GiB of HBM per GPU. The fixes were upstreamed to PyTorch and TorchTitan, with training reaching ~1,300 tokens/s per GPU on 1,536 GPUs across 4 DDP replicas.

Show HN: A free course from engineer to AI engineer, one Git tag per episode

A free YouTube-based course, "From engineer to AI engineer," teaches experienced software engineers with no generative-AI background to build a retrieval-augmented generation (RAG) pipeline in eight episodes, with a second seven-episode series, "Prove it works," building an evaluation harness on the same repository. Each episode is one commit and one Git tag (s1e1–s1e8 and s2e1–s2e7), so checking out a tag reproduces the repository exactly as that episode leaves it. The series uses TypeScript, SQLite, curl and an HTTP server, answering with claude-sonnet-5-5 over a fictional 26,000-word corpus (Lantern Supply Co.) that includes deliberate traps such as near-identical product names and a policy changed in later release notes.

Show HN: Closed,Mechanical Mould Design AI Agent

Closed is a mould design AI agent that accepts a customer STEP file or part photo, keeps the customer's part locked, and drafts stages including parting, core and cavity, layout, mould base, feed, side actions and ejection, logging each stage. It pauses for human decisions when a rule is violated, shows the source of every dimension from one of six non-AI origins, and supports switching between agent and manual mode on the same model. Nothing ships until the user approves it; the macOS and Windows studio plus iOS and Android apps are not yet available and builds go to a waitlist first.

Show HN: Website tells you when you'll lose your job to AI

A satirical Show HN site, DEPRECATOR-5, presents a fictional four-step corporate service for replacing workers with AI, complete with mock statistics such as 4.2M roles retired and $480 per role per year. It also references an unauthorized roguelike game called Deprecation, the game, and offers a free 20-second check of whether your role is next.

Do the top thousand sites charge AI crawlers, block them, or let AI agents buy?

A Hacker News submission links to a Claude artifact examining whether the top thousand websites charge AI crawlers, block them, or allow AI agents to make purchases. The submission has 1 point and no comments.

Show HN: Vibetime – see what you ship when coding with AI agents

Vibetime is an npm-installable CLI that wraps Claude Code, Codex, Gemini, Aster, and Opencode in the terminal and uses session hooks to track the Claude Code, Codex, Cursor, and ZCode desktop apps, printing a session summary with git commits, line changes, and files touched when each session ends. It requires no config, daemon, or account by default, stores data locally in ~/.vibe/, and reads only git metadata, with an opt-in GitHub-based leaderboard that ranks sessions by commits with meaningful changes.

Bringing Agentic AI to COBOL and the Mainframe with Rich Larin

Recorded at IBM TechXchange 2026, RedMonk's Kate Holterhoff speaks with Rich Larin, IBM's Director of Z DevX & Platform Engineering, about bringing agentic AI tools to mainframe developers. Larin describes how Bob and the Premium Package for Z let COBOL teams use the same agentic IDE as other developers, with deployment options including SaaS, hybrid and air-gapped on-prem, plus Z code scan for deterministic security checks that Bob can remediate automatically and a data dictionary that captures experts' knowledge. He advises trying a proof of concept and hints at upcoming releases combining AI with analysis of very large applications.

New research could lead to faster, trustworthy AI models for climate prediction

MIT researchers developed a training technique that generates optimized synthetic climate scenarios, letting a climate emulator be trained with far less data and only one full earth system model run instead of six to eight. The resulting emulator accurately predicted scenarios it had not seen during training, while traditional emulators failed to adapt, and it captured effects such as local pollutant controls amid rising other emissions. The work was published in the Proceedings of the National Academy of Sciences.

Reducing Costs with local hosting and small AI

A user moved their side project to a local host and is using ChatGPT Plus with VS Code and PowerShell on a home computer, adding Open Code with Big Pickle for a small AI. They have an NVIDIA RTX 5060, plan to eventually migrate back to a regular host like Railway, and are asking for suggestions on small AI or process steps to keep costs down.

The End of Human Code: Is AI Taking Us Back to Punch Cards?

A Medium article in the Vibecoding publication asks whether AI is returning software development to a punch-card-like era, ending human-written code. The Hacker News submission has 3 points and no comments.

Breaking: Eli Lilly CEO becomes latest to push back on Dario Amodei’s ludicrous, Elizabeth Holmes-like medical claims

The post criticizes Anthropic CEO Dario Amodei for making medical overpromises in a video tied to the company's IPO launch, comparing them to Elizabeth Holmes, and says experts on X pushed back sharply. It cites Eli Lilly Chairman and CEO Dave Ricks as offering a more realistic view, and argues the media has failed to deconstruct the claims ahead of the IPO.

Google Deepmind shifts genomics AI from bulk tissue predictions to single cell type resolution with AlphaGenome 2

Google DeepMind released AlphaGenome 2, a conditional genomics model trained on more than 107 million individual cell profiles from 68 human and mouse tissues that predicts variant effects for specific cell types rather than across many tissues at once. On the TenK10K benchmark of 28 primary immune cell types it identified about 30 percent of causal variants and correctly predicted up- or down-regulation in 43 percent of cases, versus 16 and 23 percent for a fine-tuned AlphaGenome 1. It is available for noncommercial research via API, with commercial access through a closed preview, and is not approved for clinical diagnostics.

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

Oura has entered a definitive agreement to acquire Counsel Health, an AI-native primary care company that combines medical AI with in-house physicians, for $625 million in cash, with the deal expected to close before the end of the calendar year. The acquisition aims to pair Oura's continuous biometric data with Counsel's platform and on-demand doctors inside the Oura App, spanning preventive, acute, and specialty and chronic care. The announcement follows Oura's record fiscal fourth quarter, with revenue up 153 percent year over year to $533 million for the quarter ended Sept. 30, 2026, and approximately $1.75 billion for fiscal year 2026.

AI Pong Clone

A Reddit r/aigamedev post links to a thread about someone who asked Fable 52 to "go wild" making a game, producing an AI Pong clone. The item is a link submission with 1 point and 0 comments on Hacker News.

Conference Digest: put networking, cloud, K8s, and AI conferences to work

This digest collects selected talks and papers from networking, cloud, Kubernetes, and AI conferences, with context for applying them. Listed events include the Open vSwitch and OVN 2026 Fall Conference, RIPE 93, @Scale: Product 2026, ARIN 58, hack.lu 2026, LACNIC 46, NANOG 98, PyTorch Conference 2026, SwiNOG #42, ACM IMC 2026, Capacity Europe 2026, and OCP Global Summit 2026. Each entry names the conference's focus areas, such as routing, IPv6, AI infrastructure, or open data-center hardware.

How companies are using AI to make you spend more money – PBS NewsHour [video]

A PBS NewsHour video, shared via Hacker News, examines how companies are using AI to encourage consumers to spend more money. The submission links to the YouTube video and its Hacker News discussion thread.

Can the AI boom make enough money to sustain itself?

An Economist briefing article asks whether the AI boom can generate enough revenue to sustain itself. The item links to the article and to a Hacker News discussion thread with 3 points and no comments.

Show HN: Wings – queue the next prompt while your AI is still working

Wings is a macOS sidebar that docks beside AI desktop apps such as Claude, ChatGPT and Gemini so you can save a draft message while the AI is still working, then click it to paste it back into the input box. It never presses Enter, keeps notes locally with no account or upload, supports image notes, and offers ten interface languages. It follows or docks to many AI apps and terminals, though saving is not supported in terminals, and a Windows version is in progress.

Remote Labor Index: Measuring AI Automation of Remote Work

The authors introduce the Remote Labor Index (RLI), a multi-sector benchmark of real-world, economically valuable projects designed to evaluate end-to-end AI agent performance in practical settings. AI agents perform near the floor on RLI, with the highest-performing agent achieving an automation rate of 2.5%. The authors state these results help ground discussions of AI automation in empirical evidence and provide a common basis for tracking AI impacts.

Supporting research on AI and children’s safety

OpenAI has committed $2 million to research on AI and children’s safety. The work supports shared tools to measure risks and opportunities for young people.

Holiday Extras is rethinking what it can build with Codex

With Codex, Holiday Extras is turning customer expertise into better apps, higher booking conversion and new possibilities for growth.

Working Without Unnecessary Intermediaries: How AI Changing the Software Tools

A Medium article by smoking2man argues that AI is changing the economics of software tools by removing unnecessary intermediaries. The submission links to the article and its Hacker News discussion thread, which at the time had 2 points and no comments.

Lensden – Compare AR and AI glasses with source-linked specs

Lensden is a site for comparing AR and AI glasses, presenting specifications with links to their sources. The submission links to its products page and drew 2 points and no comments on Hacker News.

Swatting calls using AI means fake 911 calls are harder to detect

An NPR article reports that AI is being used in swatting calls, making fake 911 calls harder to detect. The piece is at https://www.npr.org/2026/11/11/nx-s1-6034449/ai-911-calls-swatting and is discussed on Hacker News at https://news.ycombinator.com/item?id=50465570.

Adversarial defense for binaries/JS/Python against AI reverse-engineering agents

BLA is a defensive tool for software authors that hardens build artifacts (JavaScript/TypeScript, Electron .asar and fuses, WASM, SQLite, Safetensors, GGUF, Go buildinfo, PE, Flutter/Dart, BEAM, EVM, PCAP, Python, PTX, and others) against AI reverse-engineering agents by planting decoys, tripping analyzer resource limits, and entangling sibling artifacts. It ships as a CLI (`npx bla-agents harden .`), an MCP/Skill setup for coding agents, and Vite/Rollup/Webpack/esbuild plugins, and reports 14/14 bundled benchmark targets passing input/output equivalence checks. The project states its empirical REA results were recorded on commodity hardware and that token/cost multipliers are internal estimates.

Costcrew a app to manage AI spending

A Rust-built app called Costcrew tracks how much the creator spends on AI over time and aims to answer how much they spend on AI and which AI is worth spending on. The post describes it as having many features to help manage AI spending, and links to a Hacker News discussion with 1 point and 1 comment.

Australia's proposed AI safety bill would force frontier model makers to open up to independent testing

Australia's government led by Prime Minister Anthony Albanese announced a law that would impose mandatory safety rules on frontier AI companies operating in the country for the first time, targeting the most advanced, highest-risk models under its "AI in Australia's Interests" agenda. A new oversight body will work with the Australian AI Safety Institute to enforce compliance and issue steep penalties, requiring frontier model builders to undergo independent audits, maintain ongoing safety checks, publish safety frameworks, and report security incidents immediately. Albanese, Deputy Prime Minister Richard Marles, and ministers Tony Burke and Tim Ayres said the government is putting domestic guardrails in place before international negotiations, with more details to follow after consultations conclude.

Google gooses Python AI performance by... removing Python

A Register article reports that Google improved Python AI performance by removing Python from the execution path. The piece is at theregister.com/devops/2026/11/11/google-gooses-python-ai-performance-by-removing-python/5308995 and has drawn limited discussion on Hacker News.

AI Customer Driven Development

Dr. Navraj Chohan proposes AI Customer-Driven Development (AI-CDD), a methodology where customers request capabilities in natural language, AI discovers or proposes them, human-governed engineering agents implement approved changes, and configuration-aware testing and telemetry govern product evolution. Existing features can be enabled via public toggles or found through embedding and vector search, while new requests go to product management for human review before AI agents implement, review, test, and document the feature behind a public toggle. Because the resulting configurations are exponential, AI would generate end-to-end tests for the configurations customers actually use and add them to the CI/CD pipeline.

DeepL unveils Aure, its most lifelike Voice AI translation model yet

DeepL announced Aure, a new Voice AI model powering DeepL Voice that continuously adapts translated speech to reflect shifts in tone, emotion, emphasis and pace, building on the company's earlier voice preservation technology. Aure analyzes incoming speech continuously using both translated words and source audio, and DeepL says it combined training techniques separating voice identity, prosody and spoken content with reinforcement learning. The capabilities apply automatically across DeepL Voice for Online Meetings, In-Person Conversations and the DeepL API for Voice, initially supporting English, German, Spanish, French, Italian, Japanese, Portuguese and Korean.