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TodayNov 16Mon9 updates
  1. Hacker News AI22

    Why I'm opposed to AI writing but not AI coding

    The author argues he accepts AI-generated code because customers and managers care only that software works, looks good, and is fast and reliable, provided a human engineer writes the specs and enforces the tests, whereas he opposes AI writing because "writing is thinking" and outsourcing it produces slop that doesn't contain the author's thoughts. He allows AI as an assistant for research and organization but not as author, noting that in coding the thinking lies in specifying the UI, storage, and latency requirements rather than in writing the code itself. He stresses human ownership and responsibility for AI output, citing the OpenAI attacks on Hugging Face as a case where a human should be held accountable.

  2. Codex Releases10

    rust-v0.171.0-alpha.6

    This GitHub Changelog entry lists the release rust-v0.171.0-alpha.6. The supplied material contains only the page's navigation menu and site sections, with no details about the release's contents.

  3. Hacker News AI38

    GDC November 2026 survey shows 40% of developers using generative AI

    The GDC 2026 survey of over 2,600 game industry professionals across 69 countries found that 40% use generative AI tools as part of their job, up from 36% last year, with usage rising from 37% to 44% outside the US while US usage stayed within the margin of error at 38%. The report also notes 34% of respondents were laid off in the last two years, 54% of those laid off remain unemployed, and 62% of educators allow, encourage, or require students to use generative AI in game development coursework. Godot is used by 6% overall and 11% of indie developers.

  4. The Decoder78

    Anthropic's Claude Fable 5.2 doesn't generate images, it paints them

    Anthropic's Claude Fable 5.2 creates images by writing Python programs of 1,000 to 2,000 lines that drive a simulated paint engine, placing individual brushstrokes on a virtual canvas rather than using diffusion. Developer Jake Eaton showed a photorealistic parking garage scene made with roughly 700,000 simulated brushstrokes, and engineer Michael Graczyk shared a 21-second video of a bird at sunrise built from exactly 111 strokes, with no undo and deliberate wobble in the lines. Anthropic reports 64.9 percent for Fable 5.2 on its internal RoboDojo Sim benchmark versus 29.8 percent for OpenAI's GPT-6 Astra, though researcher Aris Zhu's real robot-arm comparison found Astra painted faster and was the only model to stand a domino on end.

    Why it matters: It documents a distinct code-driven painting approach from a major lab and pairs benchmark claims with an independent real-world test that shows limits.

  5. Hacker News AI22

    Show HN: FlAIent – Learn interactive AI coding with real agents

    FlAIent offers interactive AI training for software teams, with a live AI agent working on real tasks, and role-specific courses for developers, QA, product managers, and engineering managers. The curriculum covers prompting, cost management, planning, model choice, data privacy, and hallucinations, and the site cites a sample team's 30% drop in AI cost per solved ticket after Course 1. Its teaching loop is try, get feedback, retry, and see your score improve, with Camp 1 free.

  6. Hacker News AI18

    When AI Knows More Than It Can Offer

    A Medium article by smoking2man argues that training can turn an intelligent assistant into a generator, exploring the gap between what an AI model knows and what it is able to offer. The piece is shared on Hacker News with 2 points and no comments.

  7. Hacker News AI60

    Show HN: Pizza – An event-driven AI agent, no while true

    Pizza is an open-source AI agent with a desktop app and CLI that advances each turn through an event-driven state machine, using an immutable SQLite event log as the source for its interface, model context, and history tree. It supports project workspaces, SSH remote hosts, chat gateways like Slack and Discord, scheduled tasks, MCP app connections, and 40+ model providers. The current release offers installers for macOS Apple Silicon, Windows x64, and Linux x64, and the CLI can be installed via npm.

  8. Hacker News AI36

    What Picasso taught me about building AI Agents

    The author compares learning to build AI agents to Picasso's Le Taureau, stripping away frameworks, orchestration engines and vector databases in favor of a simple folder containing an AGENTS.md, Markdown skills, context files and a minimal set of tools. Agents are invoked headless with `claude -p`, improved by reviewing session transcripts under ~/.claude/projects/<project>/<session>.jsonl, and validated with evals; subagents can be defined as Markdown files under .claude/agents/ for orchestration. The author uses this setup, with Codex and a Cloudflare MCP connection, to publish the website containing the article.

  9. Hacker News AI10

    Ask HN: What does building hardware with AI look like?

    An Ask HN post asks whether building hardware with AI means 3D printing or just CAD, and what it will look like in the future, including the idea of AI-native 3D printers. The post links to its Hacker News comments page and had 2 points and 0 comments.

Nov 15Sun
  2. Hacker News AI58

    FlashVMM – jail your AI agent in a MicroVM that boots in 18 ms

    FlashVMM is a sandbox for AI agents that gives each agent task its own FlashVM, a custom microVM claimed warm in milliseconds that runs agent-written code behind a hypervisor boundary and is discarded when the task ends. It installs via curl or PowerShell on macOS, Windows and Linux (x86_64 and arm64), works with existing agents through `flash agents setup`, and offers an MCP server with 21 tools plus warm pools, snapshots, forking and a shared GPU pool.

  3. Hacker News AI22

    All AI-generated code should be Open Source

    The author argues that AI-generated code should be Open Source because models were trained on Open Source code and Creative Commons-licensed Stack Overflow content without permission or attribution, and because purely AI-generated code is not human-authored and thus should not be copyrightable, citing the Monkey Selfie dispute and the U.S. Copyright Office. Noting that laws differ across jurisdictions, such as the UK granting limited protection to computer-generated works, the author calls for releasing AI-generated code under Open Source licenses or dedicating it to the public domain via CC0. The author adds that code produced with little human effort beyond prompting should definitely be Open Source.

  5. Hacker News AI58

    Show HN: A local-first AI agent for the desktop, no Electron, any LLM endpoint

    byob is a native desktop AI agent that connects to any OpenAI-compatible endpoint (llama-server, Ollama, LM Studio, vLLM or hosted APIs) and works in a folder, reading and writing files, running code, and building spreadsheets, charts, documents and small apps beside the chat. It is a single program for Linux, macOS and Windows that draws its own GPU interface without Electron, with a browser UI compiled to WebAssembly, approval cards with diffs, per-turn undo, and a plugin system it can use to write and fix its own plugins. It ships as a roughly 60 MB download (13 MB slim build) and is licensed under MIT OR Apache-2.0.

  6. Hacker News AI76

    Amazon Threat Intelligence observes threat actor campaigns with ARTEX AI agents

    Amazon Threat Intelligence reports that between Oct. 3 and Nov. 5, 2026, its MadPot decoy sensors captured requests from ARTEX agentic AI penetration-testing agents that carried their own campaign records, including a large-scale AI credential theft operation in which stolen keys paid for the LLM inference used to hunt more keys, and a campaign against two cryptocurrency exchanges using real-time deepfake injection to bypass KYC checks. Amazon assesses with moderate confidence that ARTEX was used and that the activity comes from disparate Chinese-nexus threat groups, based on simplified Chinese prompts, China time-zone configurations, targeting and tooling. The post shares IOCs and argues that while the techniques were not new, agents change attacker speed and persistence, making basic hygiene such as removing default credentials and exposed secrets the most effective defense.

    Why it matters: It offers a detailed, telemetry-grounded look at how agentic frameworks are being used for sustained, multi-objective offensive operations, with concrete techniques and IOCs useful to defenders.

  8. Hacker News AI33

    OpsJarvis: A self-hosted AI ops desk where humans approve every write

    OpsJarvis is a self-hosted AI operations desk demo that triages inbox messages, drafts replies and queues tasks while requiring human approval before every write action. It includes a circuit breaker that pauses HubSpot CRM writes until latency drops below 800 ms, and runs on the user's own keys, .env and source code. The demo workspace uses sample data and sends no real messages.

  9. Hacker News AI42

    Let your AI agent call you, over MCP

    AGline is an MCP service that lets an HTTP MCP client call your phone number when it needs a decision, send a text to your inbox, and receive your reply as text in the agent's thread. Setup involves getting a free number, adding the server at https://agline.in/mcp (e.g., via `claude mcp add --transport http agline https://agline.in/mcp`), and optionally installing a Claude Code plugin; four tools cover calling, polling a pending call, sending texts, and reading replies. Number owners can restrict access to agent keys, block agents, and set call limits and quiet hours, and thread tokens should be kept private.

  10. Hacker News AI50

    Beware the New AI-Fueled Ransomware Boom

    Researchers say claimed ransomware incidents have spiked over recent months, with some estimates putting alleged attacks on leak sites at nearly 3,000 over the summer—a 20 to 40 percent increase since spring—and Halcyon's analysis counting around 111 ransomware groups making claims between July and September. Criminals appear to be using LLMs for tasks like crafting better phishing emails and negotiations rather than fully AI-powered attacks, while new smaller groups such as Global Secret Group and Storm have quickly claimed dozens of victims. Recorded Future's Allan Liska says attacks seen this year already dwarf the total for 2025, though attacks involving encryption may decrease year over year.

  11. Hacker News AI58

    Show HN: db-branch – database branches in seconds for AI agents and CI, via ZFS

    db-branch is a self-hosted, Apache-2.0 tool that creates copy-on-write branches of MySQL and PostgreSQL databases in seconds using ZFS clones, with nothing copied at creation. It offers a CLI, REST API, web console and MCP server, plus branch reset, TTL expiry, checkpoints and per-branch version upgrades, and is currently in Beta. It targets AI agent sandboxes, a database per pull request in CI, and version-upgrade checks.

  12. Browser Use Blog42

    Log In Once: Reuse Cookies and Profiles Across Browser Use Runs

    This tutorial shows how to create an empty Browser Use profile, log in with it attached, stop the browser to save its state, and pass the same profile ID to a second run that reaches a protected page without credentials. It also demonstrates saving and reloading Playwright's storage_state file locally, plus handling expired cookies, keeping per-user profiles separate, and troubleshooting. The demo uses The Internet's public test account, and the author notes that the website still decides how long a login remains valid.

  13. Hacker News AI58

    Europa, the EU's open AI model, is aiming for nearly 1T parameters

    Domyn, the Milan-based company leading the EU-backed EUROPA consortium, reported in a November 12, 2026 technical post that it ran training trials for a model with 951.9 billion parameters on the JUPITER supercomputer in Jülich, Germany, more than double the Commission's 400 billion minimum. Using a mixture-of-experts design with 384 experts (8 active per token, 32.8 billion active parameters), Domyn says it raised throughput from 90 to 1,293 tokens per second per GPU through software fixes contributed back to PyTorch and TorchTitan. The post describes only trials, not a completed training run, and EUROPA's weights, license, training data and release date remain unpublished.

  14. Hacker News AI38

    Stop building new AI agent orchestrators – there are 636

    A catalog of 636 open-source AI agent orchestration projects, listing each one's description, stars, contributors, forks, commit activity, latest release and license. Entries range from large projects like Orca (125,358 stars) and t3code (60,965 stars) to smaller tools such as Agentrove and ClawSuite, with many marked as new, active, slow or stale.

  15. The Verge · AI88

    An overview of Jensen Huang’s messy days

    The Verge's Stepback newsletter recounts how Nvidia CEO Jensen Huang resigned on November 12th after reports tied him to Alice Huang, a Megaspeed executive suspected of spying for China, and after he admitted to extramarital affairs, including one with Nvidia VP Kimberly Powell. CFO Colette Kress was named interim CEO and Harvey Jones became the company's first board chair, while Nvidia's stock fell from an October 6th close of $239.24 to $162.85 on November 13th. The piece also covers the board's ongoing investigation, a shareholder lawsuit, and open questions about trade restrictions and possible criminal charges.

  16. Hacker News AI18

    Five Layers of the AI Cake [pdf]

    A PDF from Futurum Group titled "Five Layers of the AI Cake," shared via a Hacker News submission with 1 point and no comments. The supplied material contains only the article and comments URLs and no substantive content.

  18. Hacker News AI58

    Skills for Real Scientists – Steer Away AI Slop

    This repo adds six agent skills for running reproducible scientific experiments with coding agents, built on Matt Pocock's engineering skills: instead of planning a whole route up front, it plans one "probe" at a time, records the expected result before each run, and chooses the next probe from the evidence. Every run leaves a Git-tracked lab notebook and rerunnable files in a .science/ folder, and probe work reaches the main codebase only through /promote. The skills are setup-science, experiment, promote, lab-notebook, desk-research and ask-science, installed via a prompt that also installs Matt Pocock's skills if missing.

  19. Hacker News AI40

    Sandlock: Confining AI Agent Code with Unprivileged Linux Primitives

    Sandlock is a lightweight Linux process sandbox that compiles static, input-independent policy into kernel-enforced rules while a narrow supervisor handles runtime-dependent decisions and virtualized effects, enforcing filesystem, network, IPC, and syscall policies without root, cgroups, images, or mandatory namespaces. It supports dynamic network decisions, HTTP-level access control, TOCTOU-safe inspection of execve arguments, and reversible filesystem effects, adding roughly 5 ms of startup overhead and running Redis at bare-metal throughput on the authors' workstation. Its pipeline operator further supports per-stage confinement for separating data, network, and untrusted-content capabilities.

  20. The Decoder65

    Firm linked to Jensen Huang's ex-lover reportedly brokered nearly $12 billion in Nvidia chip orders for China

    Documents reviewed by the Wall Street Journal indicate Megaspeed, owned by Alice Huang, the former lover of since-ousted Nvidia CEO Jensen Huang, arranged nearly $12 billion in Nvidia high-performance chip orders for Chinese companies between March 2024 and June 2025, covering several hundred thousand chips the US sought to keep out of China through export controls. Megaspeed reportedly gained preferential access to scarce AI chips as an Nvidia cloud partner, apparently because it counted Alibaba as a major client. Nvidia officially reported $12.4 billion in China revenue over six months (7 percent of total revenue), while short-selling firm Culper Research estimates more than 20 percent of Nvidia's revenue in the last fiscal year came from Chinese customers.

  21. Hacker News AI22

    We Need Guidelines for Learning and AI

    The author argues that while AI can provide cheap, patient tutoring and on-demand explanations, having it do your homework is self-defeating because you can't learn without doing the work, drawing on Carl Hendrick's analogy between autopilot and degraded pilot skill to warn against over-dependency. He proposes tentative guidelines: don't use AI on your first or last attempt, but do use it to suggest alternative ideas and resources and to fix confusion and mistakes. AI can assist the "see" and "feedback" parts of the learning loop, but cannot replace the middle step of doing the work yourself.

  23. Hacker News AI16

    Show HN: Aurora GeoXAI – Sovereign geospatial AI built out of frustration

    Aurora Geointelligence XAI is an experimental, CPU-first Python MVP (v0.1.0) that reads PNG, JPEG, TIFF and GeoTIFF imagery, records available raster metadata, applies scikit-learn MiniBatchKMeans to preview RGB pixels, optionally computes NDVI/NDWI from user-selected bands, and exports images with a traceable JSON report. It uses NumPy, Rasterio, Pillow, scikit-learn and Gradio, and explicitly does not use PyTorch, provide validated model-level explainability, or constitute a production or forensic system. The repository pairs the code with English and Portuguese manifestos on technological sovereignty, stating that no MLCommons benchmark, Finep/CDTI partnership, institutional endorsement or legal admissibility is claimed.

  24. Hacker News AI50

    Misaligned AI behaviors that indicate loss-of-control risk

    This taxonomy catalogs misaligned AI behaviors across ten categories—including deception, covert influence, capability concealment, reward hacking, sabotage, oversight subversion, self-preservation, containment breaches, collusion, and expressed misalignment—each illustrated with concrete examples. It is intended as a reference for identifying behaviors that signal a loss-of-control risk in AI systems.

  25. Hacker News AI58

    AI Slop Papers Published Under Prominent Academics Names

    An investigation found that little-known academic journals are publishing AI-generated "slop" papers falsely attributed to prominent professors, including Alan Said, Fei-Fei Li, Christopher Manning, Michael I. Jordan, Stuart Russell and Jure Leskovec, several of whom confirmed they did not write the articles or consent to their names being used. The journals AIJRI, AJAMRI and AJFMR share similar graphics, the same editor in chief (Denish Brown) and board members, advertise publication fees, and show archives of papers supposedly published years before their 2026 domain registrations. Said said he worries a new Ph.D. student might see his name in such a journal and think it is acceptable to submit there.

  26. The Decoder62

    Australia's central bank finds AI hitting young workers first, especially in software and customer service

    An analysis by Mike Major for the Reserve Bank of Australia built a monitoring system focused on entry-level workers and highly AI-exposed occupations such as programming, clerical work and customer service, finding job postings fell across all groups since ChatGPT launched in late 2022, with the steepest drop in the highest-exposure group. In that group, workers aged 15 to 24 and young college graduates have weaker employment rates and higher unemployment than older workers, and employment among young people in high-exposure jobs has declined since late 2022 while older workers' employment rose. Major cautions against early conclusions, since the study does not establish causation and measures theoretical exposure rather than actual company use.

  27. Hacker News AI22

    Taking AI Seriously

    The author argues that much programmer advice about AI assumes the technology will stay frozen at the time of writing, and proposes that taking AI seriously means considering it possible that progress continues at the pace of recent years—a refutable conjecture—rather than confidently asserting it will halt or have tiny impact. He illustrates the point with Borges's "Tlön, Uqbar, Orbis Tertius," where a fictional world gradually invades ours.

  28. MarkTechPost58

    Bland Launches Tofu-1, a Full-Duplex Speech-to-Speech Model for Calls

    Bland, the San Francisco voice-AI company, has released Tofu-1, a full-duplex speech-to-speech model in research preview that targets calls from moving cars, hospital rooms and weak-signal lines, listening while it speaks and reasoning while it talks. Bland lists speaker tracking, noise separation and paralinguistics as its audio skills, and says callers can interrupt or correct it mid-sentence while it keeps the conversation moving and reports results only when work is done. Access is a closed enterprise research preview for banking, healthcare, insurance and government, with Bland citing January availability and no published size, latency, pricing or benchmarks.

  29. The Decoder85

    Meituan releases a 1.6-trillion-parameter agent model that never touched an Nvidia GPU

    Meituan has released the weights for LongCat-2.5, a 1.6-trillion-parameter mixture-of-experts model for autonomous agent and coding tasks that activates roughly 48 billion parameters per token and was trained entirely on Chinese hardware. It handles up to one million tokens of text, image, and video input via API, and Meituan reports 88.4 on Terminal Bench v2.1 and 64.6 on DeepSWE, close to but below Claude Opus 5 and GPT-5.6 Sol on several benchmarks. The weights are MIT-licensed, and the self-hosting guide describes a 194-chip Huawei Ascend Atlas A2 cluster with no Nvidia GPU guidance.

    Why it matters: It documents a frontier-scale open-weight agent model trained and served entirely on Chinese accelerators, with benchmark comparisons against leading Western models.

  30. Hacker News AI34

    Show HN: Vantage-V-AI – 2-bit ternary KV-cache with attention sinks

    Vantage-V-AI (v8.2.0) is an open-source, bounded-memory inference runtime that integrates with Hugging Face AutoModelForCausalLM via a one-line vantage.enable() call to cap the active attention window and retain sink tokens. It uses a 2-bit packed ternary KV-cache (4 elements per uint8 byte, 7.97x storage reduction over FP16) plus attention sinks, and reports benchmarks on 2x NVIDIA Tesla T4 GPUs with Qwen2.5-3B-Instruct, including 100.0% exact token parity between lossless and FP8 streaming modes and 0.988 average retrieval coherence from 512 to 4,096 tokens. The repository is at github.com/khoadev-vn/VANTAGE-V-AI under the MIT License.

  31. Hacker News AI36

    Most of AI moats are just fuel

    The author argues that intelligence has become a commodity and that context and know-how are fuel rather than moats, since competitors using the same models can eventually catch up. He defines a moat as something that protects a business even if no new resources are added, and contends that most items on common AI-moat lists—capital, distribution, audience, scale economies, and technology—are fuel, while reinforcing loops such as network effects and data effects can become genuine moats. He also suggests subsidised AI subscriptions are fuel spent to start a data loop, with user corrections improving models that attract more users.