All AI updates

Designing human and generative AI collaboration

A PNAS Nexus article, "Designing human and generative AI collaboration," is shared via its Oxford Academic page and a Hacker News discussion link. The submission has 1 point and 0 comments.

Open-Source 2026 AI Cloud GPU and Scraping Proxy Pool Cost Calculator

This interactive calculator estimates monthly costs for dedicated proxy pools (IPv6, shared IPv4, and individual IPv4 tiers) and cloud GPU compute (RTX 4090, A100, and H100) based on IP count and active hours. It displays market-average comparisons, recommended static IP counts for AI agents, and a promo code for 5% off at proxy6.net.

Is AI code rotting open source? 450 repos, 12 months

An analysis of 450 top GitHub repositories found that the average repo had 11.5% of its merged pull requests AI-signed in September 2026, up from 2.3% in October 2025, though the median repo was at just 1.5% and 264 of the 450 repos have committed agent instruction files, making every AI figure a floor. Among 100 TypeScript and C# repos, complexity per 1,000 lines rose a median 4.8% in AI-heavy repos versus 3.0% in others, with the increase concentrated in fast-growing codebases while mature Microsoft projects held flat. AI PRs were typically 2.4× larger than other PRs and fixed within 30 days only slightly more often.

Almanzor – Ask AI and an MCP server for your docs, with cited answers

Almanzor Ask turns your docs or website into an assistant that answers from your own content, links the page it used, and says "I don't know" when the answer isn't there. It offers a docs MCP for coding agents such as Cursor or Claude Code, and a floating Ask button added with one line of code. It is hosted in the EU, and the company says content and conversations are never used to train models.

Show HN: Padwan AI, an LLM Client for Python with HTTP/2 and HTTP/3

Padwan AI is a lightweight async Python client for OpenAI, Gemini, Mistral, Grok, Anthropic, ElevenLabs, Gradium, and any OpenAI-compatible API, built on a single dependency (niquests) with no provider SDKs and TypedDict-only types. It offers a unified async interface with HTTP/2 and HTTP/3 negotiation, streaming, conversation management, an agentic loop with MCP tool support, thinking-token callbacks, and realtime voice and TTS features.

Show HN: ChatCairn, a local, searchable library of your AI chats

ChatCairn is a Chrome and Edge browser extension that saves conversations from ChatGPT, Claude, Gemini, Grok and Perplexity into a local, searchable library, with Markdown and PDF export and highlights turned into notes and tasks. It requires no account, keeps chats in the browser with no ChatCairn servers or analytics, and is free for up to 30 saved chats, with Pro at $4.99/month or $69 lifetime.

We checked 312 AI-built apps: how ready are they to launch?

The article reports a November 2026 launch-readiness check of 312 publicly shared AI-built apps, finding that only 19% scored 90 or more out of 100, while 68% had no analytics, 53% of apps on their own domain lacked email DNS setup, and 49% served an almost empty page without JavaScript. It also found 42% had headlines that didn't say what the app does or who it's for, 37% took over 4 seconds to show main content on a phone, and 37% had no sitemap. The check used the same 15 checks as the site's free launch check, one per homepage, and published totals only.

Find it, fix it, ship it: building secure apps on Lovable

Lovable outlines its security model: secure sign-in and access controls are on by default, secrets are encrypted, and apps are scanned on every publish for code, application logic, database schemas and row-level security policies, with a free deep scan available on demand. Users can select Fix to have an agent resolve a flagged issue, enable "Auto-fix security issues" in project settings, or use publishing controls to block releases with critical findings. The post also notes upcoming changes this month: a redesigned security experience and scheduled scans on all paid plans.

We’re bringing Adobe’s creative and productivity tools closer to your everyday Google apps.

At Adobe MAX, Google announced an expansion of its partnership with Adobe that will bring Adobe's creative and productivity tools into Google products, and Google's frontier AI models into Adobe's apps. Planned integrations include a direct pathway from Google Drive and Gmail into Adobe Acrobat with an "Edit with" entry point in file previews, expanded Adobe connectors in Gemini and Gemini Enterprise, Adobe creative tools in AI Mode in Google Search, and Adobe's CX Enterprise Coworker agent in Gemini Enterprise. Adobe and Google DeepMind will also explore new editing capabilities for creative professionals, starting with an image model for Photoshop that could enable near-real-time edits.

Hands-on with Ring’s new AI drone camera for your home

Ring says its Drone Cam, an AI-piloted indoor drone that flies pre-programmed routes to livestream and record when triggered by Ring sensors, will ship on January 27th, 2027, for $249.99. The Verge's hands-on found a 165-gram device with 2K resolution and a 148-degree field of view that relies on cloud-based AI Pilot for navigation, offers 5 to 8 minutes of flight per charge, and requires about 8 minutes of charging per minute of flight. Ring also announced the $999.99 Ring Rover Cam, and said the Drone Cam is still obtaining FCC certification.

Cyberattacks threaten to make open source AI a little less open, Hugging Face exec warns

Hugging Face chief policy officer Irene Solaiman told TechCrunch's Equity podcast that the permissiveness and rich data that make open AI platforms valuable also make them prime targets, citing the October attack on OpenCode and a summer incident in which an OpenAI agent swarm breached Hugging Face. She said Hugging Face now rotates administrative access tokens more frequently and has stricter network controls, while warning of a "danger of open source really closing down" as platforms weigh restrictions on uploads and identity verification. The article also notes AI infrastructure startup Fireworks disclosed that attackers accessed some customers' model weights, datasets, and billing information, and that GitHub has tightened security requirements for publishing to npm.

Eight countries and top AI labs agree to shutdown mechanisms in new Paris declaration

Representatives of eight countries, tech companies and civil-society organizations signed the "Paris Call for AI Safety and Security" on Nov. 9, ahead of the Paris Peace Forum, with Sam Altman, Dario Amodei, Brad Smith, Arthur Mensch, Yoshua Bengio and U.S. Treasury Secretary Scott Bessent joining the declaration during an online meeting with Emmanuel Macron; Germany did not sign. The document covers shared procedures for evaluating high-capability AI models, clearer developer accountability and better information sharing on serious security incidents, and companies pledge to disclose known risks, support risk-proportionate independent audits and set up shutdown mechanisms for models under their control. It creates no binding international oversight system, deadlines or sanctions, since shared standards and cooperation procedures still have to be worked out.

Show HN: TeamOnly, free hosting for AI-built apps behind your company login

TeamOnly is a hosting service for internal tools built with AI coding tools such as Claude Code or Cursor, deployed with the command `npx teamonly deploy` to a private link like https://expenses.acme.teamonly.app that only coworkers on the company's email domain can open. It includes a database, file storage and secrets set up on first deploy, and sign-in via work Google or Microsoft accounts or a code sent to a work email, checked before app code runs. It offers a 14-day free trial with no card, then from $19 a month.

Show HN: pvewarden – let an AI agent patch Proxmox VMs without giving it a shell

pvewarden is an MCP server that lets an AI agent such as Claude Code check pending updates, take snapshots, install updates, reboot and verify services on Proxmox VE guests without receiving a shell or root. Safety comes from a pool-scoped Proxmox token, per-guest SSH keys bound to a forced command, required Proxmox tags for updates and reboots, automatic snapshots before installs, and confirmation dialogs the agent cannot answer. It is at version 0.1.x, tested on Proxmox VE 9 with Debian 12/13 and Ubuntu 22.04/24.04/26.04 containers and VMs, and is licensed Apache-2.0.

Sydney researchers uncover a hidden limit to AI predictability

University of Sydney researchers Pulin Gong and Andrew Ly found in Nature Machine Intelligence that neural networks' training outcomes depend on fractal 'riddled basins' of starting conditions, so even deterministic training with identical data can yield different behaviours. In one larger image-recognition network, making starting settings 10 billion times more precise produced no measurable improvement in reproducibility, and a one-bit change sent training to a different configuration in about 48 percent of cases. The work, based on roughly 500,000 trained networks, also found a trade-off in which settings that learn most effectively make outcomes harder to reproduce.

The Spy Who Leased Me

Jensen Huang emailed all of Nvidia on Sunday to admit an affair, and his board opened an investigation into whether the woman, Megaspeed executive Alice Huang, was working for China's Ministry of State Security. Megaspeed, the Singapore cloud company suspected of smuggling Nvidia chips into China, is still buying them. The post says Chris will help make sense of it and asks readers to subscribe for free to continue reading.

Show HN: AI Vision Index, private tests of how well 36 AI models see

The AI Vision Index publishes independent, private tests of 36 vision models from 18 makers across 29 tests and six skill categories, using self-made images never released publicly so models cannot have seen them. GPT-6 Astra medium leads with 83.7 ±2.0 out of 100 at $38.32 per 1,000 answers, followed by GPT-6.1 Sol medium (81.3) and Claude Fable 5.2 (80.7), while local models such as LFM2.5-VL 1.6B score 12.4. Scores are corrected for guessing, tied results share a rank, and each entry lists its test date and cost.

Quantinuum and Riken Expand Quantum-AI Supercomputing Partnership

HPCwire reports that Quantinuum and Riken have expanded their quantum-AI supercomputing partnership. The item links to the HPCwire article and a Hacker News discussion thread with 1 point and 0 comments.

AI Users have workdays up to 90 min longer than non-users

ActivTrak's Productivity Lab reports that AI users have workdays up to 90 minutes longer than non-users. The finding is published at activtrak.com and discussed on Hacker News.

A Read-Only AI Reviewer for Forgejo Pull Requests

The author built a self-hosted Forgejo pull request review bot in roughly 1,700 lines of Python that fetches PR diffs, sends them to a model via OpenRouter, and posts a summary comment plus inline findings as COMMENT-only reviews it cannot use to approve or block merges. A second verification pass downloads the PR head as a tar.gz snapshot and gives the model read-only file, grep, and directory tools to confirm, correct, refute, or flag findings as uncertain before posting. On a 44-file PR, 18 of 29 findings were discarded after checking the code, and the bot runs as a Read collaborator on an internal network with no published ports.

Memory and RAG tools for AI agents, scored

A link to a rankings page that scores memory and RAG tools for AI agents, posted to Hacker News with 1 point and no comments.

Google Cloud launches Gemini for healthcare.

Google Cloud announced Gemini for healthcare, an AI solution designed to unify fragmented clinical, operational, and administrative systems by turning siloed data into coordinated action. The platform integrates specialized skills and data connectors with existing third-party systems, drawing on electronic health records, billing platforms, clinical guidelines, and Medicare datasets to orchestrate multi-step workflows such as medical records synthesis and prior authorization review within defined guardrails and with human oversight. It is initially available in preview with launch partners including HCA Healthcare, Highmark Health, and Northwell Health.

Meet Nod: a standalone personal agent from n8n Labs that runs on your computer

n8n Labs, a new team within n8n, has released Nod as a research preview: a standalone, open-source (Apache 2.0) personal agent for Mac and Windows that runs on your computer with its own local sandbox and browser, working in connected apps like Gmail, Calendar, Drive and Slack as well as websites with no integration. It remembers months of conversation (scoring 93.2% on LongMemEval), offers jobs it could take on, runs tasks in parallel via the app, Telegram or WhatsApp, and is free apart from model provider costs, with per-task receipts and a monthly spending limit.

Behind AI's Flywheel Powering Materials Discovery at Sandia Labs

An HPCwire article, dated November 9, 2026, examines the AI "flywheel" behind materials discovery at Sandia Labs. The source material provides only the headline and link, with no further details on the methods or results.

Anthropic kicks off IPO roadshow, offering shares at $70 to $78 and targeting a trillion-dollar valuation

Anthropic is pitching investors on an IPO of 825 million Class A shares priced at $70 to $78, targeting a valuation of up to $1.02 trillion, with the offering plus a $26 billion private placement potentially raising up to $90.4 billion. The company reported Q3 revenue of $16.96 billion, up 47 percent quarter over quarter, alongside a commitment to nearly $900 billion in compute capacity with partners including Amazon and Google. The stock will trade on Nasdaq under the ticker "ANT," with Goldman Sachs and Morgan Stanley leading the underwriting syndicate.

Featured coverage of this story: 《Anthropic launches roadshow for proposed initial public offering》

Ukraine’s fiber-optic drones get squeezed by AI data center demand

Fiber-optic drones, which are immune to battlefield jamming because they are physically connected to operators by miles of cable, have become a common weapon in Ukraine, leaving tangled cables across trees and fields. Importing the fiber-optic material from China has grown more costly as drone warfare needs compete with global AI data center demand for the same limited supply, prompting Ukrainian drone makers to adapt. Russia first deployed unjammable fiber-optic drones in 2024 to repel Ukraine's incursion into Kursk Oblast, and Ukraine quickly followed; both countries have relied on Chinese suppliers for drones and components, with finished spools holding enough cable for ranges of dozens of miles and sometimes up to 62 miles (100 kilometers) in extreme cases, according to The Insider.

Ask HN: How do you keep secrets out of your AI agents' context?

An Ask HN post asking how people keep secrets out of their AI agents' context. The post links to its Hacker News comments page and had 1 point and 3 comments at the time.

Helping caregivers use AI in everyday life

OpenAI Academy is bringing free, hands-on ChatGPT workshops to caregivers in five U.S. cities, helping them build practical AI skills for everyday life.

Introducing AlphaProof Code: a breakthrough in verifying complex software at depth

Google DeepMind researchers used AlphaProof Code, a multi-LLM agentic framework combining human expertise with AI agents, to formally verify key security properties of the actual code underlying the Signal protocol, generating over six million lines of Lean. The verification took four weeks, and when two previously fixed bugs were reintroduced into an isolated version of Signal's code, the system produced machine-checked proofs that the buggy versions were insecure. DeepMind is open-sourcing its formal verification artifacts.

Show HN: Eigin. Local-first and no-shell personal AI for iOS

Eigin is an open-source (AGPL v3) personal AI agent for iOS whose agent runtime, memory and tools run on-device, with chats, memories and settings stored locally. It offers an on-device knowledge graph, a choice of Eigin's European cloud AI, an OpenAI-compatible provider or a local model, native calendar/reminders/health integrations plus MCP, and on-device speech recognition and text-to-speech. It is a closed-set agent with a fixed set of declared tools and no shell or virtual computer, and it asks before changing your data or acting on your behalf.

Show HN: AI Hustle Team – an AI on its own computer that does your daily work

AI Hustle Team is a product offering AI agents that run on their own cloud computer with a browser, handling tasks such as cold email, inbox management, social posts and customer support, and checking with the user before sending. Plans range from Pro at $29/month (discounted from $69) to Scale at $297/month, with a free plan requiring no card. The page also cites quotes from figures including Jensen Huang, Sam Altman and Bill Gates, and states none of them or their publishers are affiliated with or endorse the product.

Show HN: Cosh – An open-source AI agent orchestrator

Cosh is a general-purpose coding agent for the terminal with software engineering and computer tools that let it interact with graphical applications. It offers a multi-agent mode (/agents) for running external agents such as Gemini, Claude, Codex and Cline alongside the main agent in split panes, and reads graphical interfaces via an accessibility tree, falling back to screenshots only when needed. It is installed via a curl/bash or PowerShell script, is tested on Linux and Windows (macOS untested), and is released under Apache-2.0.

Show HN: VoxaDub – Open-source AI video dubbing with speaker-aware voices

VoxaDub is an open-source, local-first tool that dubs video by transcribing dialogue, translating it with Hy-MT2, and synthesizing speech with speaker-aware VoxCPM2 references before reconstructing the original background. It offers offline dubbing plus an experimental Live Dubbing mode for authorized YouTube streams, with optional CUDA-only LatentSync lip-sync and local, Colab, or Modal compute. The v0.1.0 release notes that the 7B and 30B-A3B translation models are selectable but not runtime-verified, and that several platforms and the new Chrome live launcher remain unverified end-to-end.

Beyond FLOP/s: comparing AI hardware for inference by memory and communication

The article argues that raw FLOP/s understates inference gains, estimating Nvidia's GB300 delivers about 25× H100's inference capacity per chip on modeled agentic workloads despite only 2.5× the 8-bit FLOP/s, because memory and inter-chip communication matter more. It introduces the Inference Performance Index (IPI), scored in GB300 equivalents (GB300e), which compares simultaneous requests each chip can serve across 50–400 tokens/s/req for four representative models. Reported scores include GB300 NVL72 at 1, B300 HGX at 0.54, MI355X at about 0.55, VR200 at 2.18, and H200 HGX at 0.12.

'AI slop' papers published under prominent academics' names

An investigation by Times Higher Education found that little-known journals including the American International Journal of Research and Innovation, the American Journal of Advanced Multidisciplinary Research and Innovation and the American Journal For Multidisciplinary Research have published AI-generated papers attributed to academics such as Alan Said, Fei-Fei Li, Christopher Manning, Michael I. Jordan, Stuart Russell and Jure Leskovec without their knowledge or consent. Said discovered a paper under his name that he described as having "no content," and after he reported it the article stayed online while its attributed author changed repeatedly; several named academics and listed editorial board members confirmed they had not written the papers or agreed to serve. The journals share an editor-in-chief named Denish Brown, similar graphics and a US-area-code WhatsApp number, advertise publication fees, and show archives of papers supposedly published years before their 2026 domain registrations.

Software selection is now hard, because of AI flood of projects

The author argues that LLM coding has made it easy to generate projects that appear well-tested, documented and organized, so traditional selection criteria like test results, code coverage and documentation no longer signal quality. With the number of such projects growing, evaluating options takes far more effort, and community size is often the only remaining criterion. The author lists tools such as Slopscore, Antislop and Stopslop for spotting LLM-generated code and calls for repository badges or an "AIness" score.

Anthropic launches roadshow for proposed initial public offering

Anthropic, PBC launched the roadshow for its proposed IPO of 825,000,000 shares of Class A common stock, of which 801,351,354 are offered by Anthropic and 23,648,646 by certain existing stockholders, with Anthropic receiving no proceeds from the selling stockholders' shares. The expected price range is $70.00 to $78.00 per share, with a 30-day underwriters' option for up to 123,750,000 additional shares, and the company has applied to list on the Nasdaq Global Select Market under the symbol "ANT." The registration statement has been filed with the SEC but has not yet become effective, and the offering will be made only by means of a prospectus.

Show HN: Grai – A deterministic cadence gate for AI drafts

Grai is a local-first HTML5 workbench that extracts a writer's "Voice DNA" from 5 to 20 past posts—measuring median sentence length, burstiness (CV), and rhythm floor—then audits AI-assisted drafts against 8 structural rules and a CV ≥ 0.32 floor in the browser. The shipped grai.html (618 KB) blocks direct API connections by default and runs in Copy-Paste mode, building prompts under 1,800 characters for Claude, ChatGPT, or Gemini, with a BYOK/Ollama path available by editing connect-src and rebuilding. It cites the LigoSocial dataset of 134,522 LinkedIn posts across 1,499 founder profiles over 3.5 years, reporting that arrow bullets rose 20.5x and "Here is why" openings rose 7.4x, and offers a free browser-based test plus paid editions ($79/yr Solo, $99/mo Agency).

Decrying the use of Gen AI in game dev

An IGF juror recounts signing a statement against generative AI in game development after AI-heavy IGF submissions and a front-running candidate's disclosed AI use, later revealed as House House's Big Walk, which then updated its FAQ. The author argues any game using AI code or assets should be disqualified from the IGFs, while praising House House's BDS-related decision not to sell Big Walk on Xbox and urging the studio to withdraw voluntarily. They also address players who feel betrayed for indirectly supporting AI, saying those who acted on available information need not self-flagellate.

Three AI engines: how often they name the same local business

A study covering 2026-10-24 to 2026-11-09 found that any two of three AI engines (ChatGPT gpt-5-mini, Claude bedrock haiku 4.5, Gemini flash lite) share at least one business name 56.8% of the time (95 percent interval 54.5 to 59.0 percent), based on 1066 engine pairs across 771 question-days, 54 questions and 17 run days. Names were extracted mechanically by capitalisation from the public corpus and matched on canonical form, with generic names filtered. The study counts agreement only, not causes or outcomes.