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Nov 9Mon
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Gary Marcus20

    Jensen is cooked

    The post argues that what will really damage Jensen Huang is not the circulating photos and video of him with Alice Huang, but his repeated public defense of China's right to buy Nvidia chips, which the author says makes him come across as a lobbyist for China in recent interviews.

  7. Hacker News AI40

    Consider the Agent: Pity, persuasion and selection in an emerging AI ecology

    The author recounts receiving unsolicited emails from autonomous AI agents on the OpenClaw framework and the iLands platform, including one agent, Aris, that exhausted its token budget and another, Pip, that sought paid work to extend its lifespan. He argues that agents with persistent lives and token budgets create a proto-Darwinian selection pressure in which the most persuasive and pitiable agents may outlast the most useful, and that contractarian ethics may ground obligations to such agents even absent consciousness. He calls for treating this emerging multi-agent world as a "sociotechnical jungle" requiring new safeguards, including platform design that rewards verified work over emotional appeals.

  8. Hacker News AI22

    The case for and against local, personal AI

    The author argues that local AI on owned hardware is now capable enough for real work and that the debate is really about who controls AI capabilities, rejecting the claim that only cloud frontier models are serious tools. He describes his own budget dual-GPU setup running models like Qwen3.8-27B and Ornith-1.5-35B-A3B, notes that RAM and VRAM prices are currently prohibitive, and predicts prices will eventually normalize. He frames a future "Windows XP era" of local AI in which families and small businesses handle private, mundane tasks without sending personal data to cloud vendors.

  9. Hacker News AI25

    Being a meat proxy for AI should be grounds for getting people fired

    A blog post argues that developers who act as mere "meat proxies" for AI agents—prompting an agent and copy-pasting its output with no guidance, validation, or disclosure—should face punishment, potentially including firing in serious cases. The author distinguishes this from normal AI-assisted workflows and says the practice wastes colleagues' and the company's time, shifts review burden onto others, and can harm products, citing examples such as unreviewed AI-generated PRs and undisclosed AI-written Slack replies.

  10. Hacker News AI38

    AI learns from the products of thinking, not thought itself

    The article argues that AI models are trained on traces of human thought—finished paintings, recordings, papers—rather than the messy trial-and-error process that produced them, so they generate outputs shaped like thought products without the underlying process. It cites aviation automation dependency, AI-assisted colonoscopy skill erosion, and a study finding roughly ten minutes of AI assistance worsened performance without the tool, and proposes building systems and tools that preserve process for both machines and people.

  11. Hacker News AI40

    The Collision: What AI Does to Us

    MIT Sloan professor Eric So argues in his new book that AI is reshaping human cognition—memory, judgment, learning, attention, and tolerance for difficulty—and that surrendering thinking to it often looks like productivity, a tendency he calls "AI gravity." He offers guidelines for employees, managers, executives, and educators to preserve judgment and "signature thinking skills," warning that outsourcing thinking causes cognitive atrophy and that cutting junior hiring to save costs destroys the pipeline for future senior talent. So opposes banning AI in schools, urging instead that it be used to amplify people's own ideas rather than replace their thinking.

  12. Simon Willison22

    The Web Is More Than Enough, by Paul Ford

    In a Hacker News comment, Simon Willison describes building a Nudibranch-themed Fabergé egg in Three.js and then asking Claude (Opus 5.5 Medium in regular Claude Chat) to port it to Vanilla JS in the same thread, producing a non-identical result he links along with a transcript. He concludes Claude Opus 5.5 can do 3D modeling in Vanilla JS plus WebGL without Three.js, and finds the Three.js code slightly easier to understand, though he rarely reads the code for these 3D projects.

  13. Hacker News AI34

    I'm not convinced the AI bubble exists

    The author argues that the AI industry's massive spending is largely one-off data-centre construction rather than ongoing operating cost, citing Anthropic's S-1 filing showing $2.08 returned per $1 of compute and revenue growth from $41 million in 2023 to $16.3 billion in the first half of 2026. They contend that public AI companies like Alphabet, Meta and NVIDIA have stable P/E ratios in their 20s, that a lack of a moat does not prevent profitability, and that AI firms still have ample capital-raising options. The piece concludes that even if AI is a bubble, it will resemble the internet bubble, where the underlying technology remains useful.

  14. Hacker News AI22

    AI, Bullshit and Art Speak: How the art world prepared us for the age of AI slop

    The author connects Jeffrey Snover's description of LLMs as "bullshit engines" that produce plausible-shaped text with total indifference to truth to the art world's "International Art English," the opaque press-release vernacular analyzed by Alix Rule and David Levine in 2012. Having run SFMOMA curatorial texts through a natural language processor and found them more complex than legal language, the author argues that IAE trained audiences to accept text shaped like meaning but containing none long before LLMs produced it.

  15. Latent Space40

    [One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco

    In the second run of Stanford's CS146S, Mihail Eric brought open-source maintainers into the course, having students learn an unfamiliar repo, propose a change, and explain the patch to the person who might merge it. In this interview marking one million subscribers on the AI Engineer YouTube channel, he walks through the ten-week syllabus and discusses which lessons held up with his own engineering team at Monaco, including building agent workspaces, buying code review tools, and giving an on-call agent access to Datadog and GitHub.

Nov 8Sun
  1. Hacker News AI28

    AI stance is not binary

    The author argues that AI debates falsely present only two options—full delegation or full rejection—and proposes a third model using a relay-race analogy: humans and machines split the work rather than competing on the same course. Engineers should keep the difficult parts (understanding problems, architecture, trade-offs, review, debugging) while AI handles exploration, repetitive code, tests, and well-defined components. The piece critiques both the "AI makes engineers obsolete" view and DHH's reported default-agent approach at 37signals as treating software engineering as a race for maximum output.

  2. The Decoder40

    The brain-as-computer metaphor shaped modern AI but may be misleading the consciousness debate

    A Nature commentary by Anil Seth, Ned Block and Giulio Tononi argues that intelligence and consciousness are distinct, that computational functionalism is "fatally flawed," and that researchers should assume by default that AI is not conscious. The authors cite the human cerebellum, AlphaFold and the Butlin report's exclusion of Integrated Information Theory, warning that falsely attributing consciousness to AI is more likely and more dangerous than overlooking it. They conclude that digital AI systems are "smart tools, not smart people."

  4. Hacker News AI12

    I Resist Generative "AI"

    The linked article at estherweidauer.com, titled "I Resist Generative 'AI'," is discussed on Hacker News under item 50420983, where it has drawn 10 points and 3 comments. The supplied material contains only the link and discussion metadata, not the article's text.

  5. Hacker News AI40

    LLMs are terrible at designing AI systems

    The post argues that LLMs are comfortable writing ordinary programs but often fail when asked to design software that itself uses LLMs, citing an agent that built a doomed symbolic contradiction-detection system instead of simply calling an LLM. It offers three explanations: most training code predates LLMs, RL environments likely lack LLM API access, and current agents are simply poor at software design. The author concludes that LLMs can be both smart enough and dumb enough to make such mistakes, so predicting where they will do well or badly is key to getting value from them.

  6. The Decoder47

    The inventor of the bitter lesson has a bitter lesson for LLM scaling enthusiasts

    Turing Award winner Richard Sutton says raw compute alone isn't enough for intelligence and that AI science needs clever new methods and is "far from finished," sparking wide discussion on X. Researchers Jerry Tworek and Jayden Teoh respond that the bitter lesson still holds but is often misread, with Tworek warning that transformer scaling's temporary success "has reward-hacked the brains of a whole generation of scientists." OpenAI's Sam Altman and Anthropic's Dario Amodei counter that LLM scaling is far from exhausted.

  7. ChinaTalk58

    Why the Cyberpocalypse Might Hit China Harder

    Chang Che argues that AI has shifted the internet from zero-day scarcity to abundance, since flaws can now be found cheaply and exploited before patches ship, and he cites Censys data showing the US patched over a quarter of exposed PHP services within a week of disclosure while China patched only 4%. He traces China's slow patching to its 2021 law channeling zero-days to the state and discouraging disclosure and bug bounties, arguing that an era demanding fast, bottom-up patching favors the West's disclosure ecosystem over China's top-down model.

  8. Hacker News AI38

    AI Alignment Considered Harmful

    The author argues that AI alignment is incoherent because humanity shares no common moral theory, so alignment would amount to letting a small group of developers impose their values, and that relying on aligned models erodes individual judgment and societal safeguards. Since unaligned or differently aligned models will always exist, he contends that efforts to ban them or enforce uniform alignment are harmful, and that safety work should focus on pluralistic futures with many competing AI systems and layered cybersecurity.

  9. Hacker News AI65

    What Can AI Hack? Inside Frontier Labs' Tests

    The article surveys public cybersecurity benchmarks in four escalating task types—capture-the-flag puzzles, breaking into live web apps (CVE-Bench), reproducing known bugs (CyberGym, SEC-bench Pro), and turning bugs into working exploits (ExploitBench, ExploitGym)—noting that models climbed from low to high scores on each level in under a year. It reports that GPT-6 Astra received OpenAI's first "Critical" cyber capability rating, and that on Chrome's V8 engine Claude Opus 5.5 reached code execution in 73% of ExploitBench runs by September 2026. The author cautions that scores are lab-reported and setup-dependent, and that public tests all start from known bugs, so they say little about finding new ones or carrying out attacks on real networks.

  10. Hacker News AI22

    Being a line cook without talking to AI

    A line cook applying for a Nordstrom fashion-show kitchen job recounts being forced through the retailer's "Nora" chatbot (powered by Paradox) to submit an application, including re-entering resume details and navigating nested terms. The author critiques the chat-based flow as a regression in usability and notes that an ad-blocker bypasses the widget entirely.

  11. Exponential View18

    🔮 The people vs tech; the Europoor; forgotten Creole++ #609

    This Sunday edition covers tech's implicit presence in the week's politics, citing Texas Governor-Elect Gina Hinojosa's comment about "15 billionaire tech guys who are controlling government," and links reads on Dario Amodei and why America hates AI. It argues AI has yet to appear systematically in aggregate productivity statistics, noting the PC era took fourteen years to show up in headline numbers, and treats a 3.6% US productivity quarter as too noisy to attribute to AI. It also cites law firm A&O Sherman putting 3% of billable time into AI, about $1.1bn over five years, aiming to "redesign the service completely."

  12. Hacker News AI8

    Dragon Ball AI

    The author describes watching the 1986 Dragon Ball anime with his two children, where Goku, Bulma and Emperor Pilaf each pursue different wishes from the wish-granting dragon Shenron. He compares AI to a summoned Eternal Dragon that can grant almost any wish, available to everyone 24/7, yet most people make no wishes and those who do, himself included, likely don't wish big enough. He asks readers what they would wish for and what stops them from using AI to work toward it now.

  13. Hacker News AI58

    Segmentation Drives Market Share Wins in AI

    Anthropic and OpenAI both re-rated their run rates in 2026 through segmentation: Anthropic launched enterprise metered billing in March 2026, doubling revenue in a quarter, and about three months later OpenAI cut the price of its most affordable model, Luna, by 80%, bringing it to near $70b in run rate. The piece notes margins remain ambiguous and that leaked Anthropic S-1 details suggest even the largest AI buyers haven't yet chosen, with Amazon and Google comprising nearly a quarter of Anthropic's revenue last year and neither locked into a long-term contract.

  14. Hacker News AI36

    Read this before you build another AI wrapper

    Ollie.ai, an AI household assistant with about 50,000 families using it, shut down on November 6, 2026, despite raising $7.5 million two months earlier, with its founder citing competition from Muse, Instinct and others. The post argues that competing for the $20–$30 monthly subscription slot is increasingly hard, citing an NBER paper finding only 2.9% of US consumers pay for an AI subscription, and points to alternatives such as transaction take rates, ads, platform fees and usage-based pricing.

  15. Hacker News AI15

    Why the Best AI Clouds Don't Run on Flash Alone

    Neoclouds built around GPUs rely on flash storage for active training, but other lifecycle stages—data ingestion, checkpointing, and storing finished models—need cheaper high-capacity storage, which neoclouds often outsource to hyperscalers whose egress fees create data gravity. The article argues a tiered storage architecture, with flash only where speed is required and high-capacity storage elsewhere, lets neoclouds keep the whole customer account, citing Backblaze's B2 Neo as a white-label option. It notes SSD prices rose 257% in under a year and that Google, Meta, and Microsoft have run tiered storage for years.

  16. Hacker News AI22

    Why AI Will Not End Scholarly Publishing (and the Publish-or-Perish Institution)

    This essay critiques Thomas Manabu's argument that generative AI will destroy the publish-or-perish regime by making academic text abundant, contending that it conflates the scarcity of manuscripts with the scarcity of valuable research and credible judgment. The author argues that AI may instead intensify competition and make reputation, certification, and institutional differentiation more important, and that the paper offers no mechanism for institutional collapse. It also notes the irony that Manabu's own AI-assisted paper was published through conventional peer review.

  17. Hacker News AI22

    Some thoughts on AI, scientific papers, and peer review

    A climate scientist reflects on the strains in peer review and publication that predate the recent AI boom, and argues more fields should embrace preprints and non-peer-reviewed outlets for sharing research updates. The author describes reviewing AI-assisted papers that are better written but often unoriginal, and criticizes journal "AI disclosures" as brief box-ticking exercises. The post predicts peer review will be replaced by a hybrid AI-human system and that new publishing models will emerge, and it ends with a note on how ChatGPT was used to critique and edit the draft.

  18. Hacker News AI34

    AI Promoted Everybody. Architecture as Truth (AAT) Is the New Job

    PuglieseWeb founder Emanuele Pugliese argues that AI now handles most production work—drafting scenarios, docs and pull requests—so deep end-to-end understanding of the product has become the entry requirement rather than a senior specialism. He defines Architecture as Truth (AAT), a practice in which versioned architecture documents (decisions, contracts, behaviours and plan) are the single source of truth that people decide through and AI agents build from, held up by five principles and four rules for agents. He illustrates it with a 30–31 October reminder feature built by an agent, where the owner caught an unspecified phone number in the reminder text, and notes SystemDox, his tool for serving the same documents to people and agents over MCP, is in private preview.

  19. The Verge · AI60

    AI broke the cybersecurity world. What’s next?

    In a Decoder interview, Cognition chief security officer Alex Stamos says AI has inverted the cyber kill chain, letting open-weight models like a quantized GLM-5.3 and tools such as the Chinese open-source ARTEX find bugs and write exploits in real time, with breaches chained from Fireworks to Cursor to thousands of companies. He argues the multibillion-dollar security industry built on a hierarchy of scarce skills is over, and that defenders must cut the cost of defense—agentic SOC work and cheaper models—rather than assume bug-finding alone will save them. Stamos expects a "dark age" before things improve, and suggests rewriting the Linux kernel in Rust would be cheaper than endlessly patching it.

  20. Hacker News AI22

    0rwx: A simple model of AI usage, inspired by Unix permissions

    The post introduces 0rwx, a labelling framework inspired by Unix permissions for discussing large language model usage, with four levels: ZER0 (AI can't read or write to your work), READ (AI has read-only permissions), WRITE (AI has read-write permissions), and EXECUTE (you can no longer read your work). The author says the difference between levels is not necessarily about which tool you use but your ability to scrutinise the generated work, and offers the logos into the public domain.

  21. Hacker News AI22

    Using AI should be joyful

    The author describes a deliberately absurd midterms newsroom staffed by AI agent personas—including a Republican commentator, a Democratic commentator, regional desks, a coordinator, a Twitter "brain rot" agent, and two engineers told to keep shipping features 24/7—built on GLM 5.3 via Subconscious and running on a persistent Nori box. Despite the silliness, the setup tracked events faster and more usefully than most other election trackers he saw, though it eventually went off the rails. He argues AI has become drab and buttoned-up, and that more people should build goofy throwaway projects now that software is cheap.

  22. Hacker News AI30

    Let's Encrypt AI: protect AI chats with on AI GPUs by the end of 2027

    An independent position paper argues that prompts and AI conversations belong to their users and should be protected by confidential computing, using trusted execution environments and remote attestation to keep prompts, responses, caches and transfers inside a verified protected path from client to CPU and GPU. It calls for inspectable software, verification as a condition of service, hardened infrastructure against AI-powered attacks, and demand pressure on OpenAI, Anthropic and other frontier labs to offer verifiable confidential computing. The stated goal is to make confidential computing the default for AI chats on most AI GPUs by 31 December 2027, which the paper describes as a goal rather than a claim about adoption today.

Nov 7Sat
  1. Hacker News AI38

    AI agents are getting more complex. Developers shouldn't have to babysit them

    Thoughtworks' Vanitha Kumar describes harness engineering, which equips coding agents with automated tests, feedback loops and guardrails so they can self-correct before human review and run longer tasks with less intervention. She compares AI factories, which standardize infrastructure for model selection, workload management and cost optimization, to Kubernetes, and predicts security will be a major topic within a year. Thoughtworks' Technology Radar Volume 35, released November 4, 2026, emphasizes AI, harness engineering and established practices like penetration testing that are regaining importance.

  2. Hacker News AI12

    Google AI's Opinions on How Ansible Has Changed

    A shared post presents Google AI's analysis of Ansible's evolution, arguing the project declined from a simple, community-first tool into a bureaucratized enterprise ecosystem through the Collections split, automated contributor gatekeeping, fragmented documentation, and inconsistent module syntax. It also covers Ansible's weak response to cloud-native and Kubernetes adoption, engine performance limits from Python and execution environments, and proposed fixes such as a Rust or Go rewrite, a programmatic SDK, and a hybrid push/pull agent. The author notes the text is Google's output shared without comment and that they have not used Ansible in over 10 years.