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Nov 7Sat
  1. Hacker News AI18

    I don't care if web content is AI-generated

    The author argues that common objections to AI-generated web content—inaccuracy, inauthenticity, and undisclosed use—apply equally to much human-generated material, and that he assesses all online content on its own merits rather than by its origin. He suggests that, at the end of the "Gutenberg parenthesis," justified skepticism toward all online information means we must relearn pre-Gutenberg skills of critical assessment with or without AI. He adds that he can understand why publishers should disclose AI involvement as a courtesy, even though it doesn't much matter to him.

  3. Hacker News AI8

    Post-AI Computer Science – Volume 4

    Youngjin Kang's blog post argues that software narratives need rules robust enough to generate self-growing emergent behavior, but such rules risk seeming arbitrary unless they are goal-driven toward a "purpose of life." Because the chain of ultimate purposes never terminates, he proposes positing a supreme authority ("God" as a hypothetical system administrator) whose commands serve as axioms, and sketches a universal law of the form "IF God said X, THEN now X" as a seed of meaning.

  4. Hacker News AI22

    The AI Business Model Just Collapsed

    The author recounts past warnings about AI-related stocks and a public backlash, citing declines in Meta, Oracle and CoreWeave shares and saying 40 of 41 data center initiatives on a ballot went against AI. He argues tech companies should adopt transparency, opt-in choice, legality, environmental respect and safety, and lists requests to Spotify, Google, Microsoft, Amazon, social media CEOs and cultural institutions. He states he is not offering investment advice and frames his focus as society and human flourishing.

  6. Hacker News AI39

    Can AI self-improvement overcome diminishing returns?

    In a guest post for Noahpinion, the author argues that current evidence shows AI self-improvement loops would need to be roughly 5–10× stronger to sustain themselves, let alone produce a runaway intelligence explosion. OpenAI internal data shows models fully completing research tasks of only about 15 minutes at 80% success, far below benchmark and forecast horizons, while Anthropic estimates doubling overall AI progress would require roughly 40× productivity uplift. The author expects rapid AI progress and possible narrow superintelligence in highly verifiable domains, but sees no signs of accelerating returns and calls for better data.

  7. Hacker News AI38

    Teaching AI to build scientific models

    An essay uses the Hodgkin-Huxley nerve-cell model of 1951 to break scientific modeling into three steps—building, constraining, and interpreting—and examines how AI systems are increasingly involved in each. It argues that simulation-based inference can return full distributions of plausible parameters rather than a single fit, and that LLM-based agents can propose and revise candidate models, though interpretation remains hardest to hand to AI. Because many models can explain the same data, the value lies in knowing which features are pinned down, which alternatives failed, and what remains open.

  8. Hacker News AI12

    How I Learned to Stop Worrying and Love AI

    The author reflects on ambivalence toward AI, feeling both intoxicated by its limitless software-creation possibilities and uneasy that software is becoming more abundant but buggier and more vulnerable, while emails turn into unread walls of text and presenters discuss slides they don't fully understand. He concludes it isn't an either-or situation and accepts being euphoric, worried and a little crazy at once.

  9. Hacker News AI60

    The End of AI Frontiers

    A former Microsoft researcher recounts organizing the AI Frontiers group within Microsoft Research after ChatGPT's release to pursue coherent, agent-focused and fundamental research efforts, and describes its September reorg into Microsoft AI, whose scaling-only philosophy he found incompatible. He states that AI Frontiers is over, that there will be no internships with the group in the coming year, and explains why he did not return to MSR.

  10. Hacker News AI80

    AI is dramatically accelerating AI research

    This post discusses a public METR report on AI R&D acceleration at Anthropic, which found that between October 2025 and October 2026 capabilities progress at Anthropic went about twice as fast as over the previous twelve months, with AI automation probably the large majority of the reason. The author argues the "dramatically accelerated progress due to AI" threshold in Anthropic's Responsible Scaling Policy has likely already been crossed, and that if AI roughly doubles capabilities progress overall it must be speeding up human researchers by much more—perhaps ~10x. He calls the report the most important update on AI risk in the last couple of years, while noting that most of the key evidence was redacted.

    Why it matters: Offers a detailed, quantitative reading of a METR report on AI-driven research acceleration and its implications for timelines and AI risk.

  11. Tomasz Tunguz82

    A $90 Key into Your Company's Secrets

    The cost of an AI-driven break-in of a simulated corporate network fell 99% in five months, from a $5k–$10k BIS estimate in April to $90 with Zhipu's open-weight GLM-5.3, and Goldman executives have discussed spending as much or more on AI for security as on AI coding tools. The piece argues attackers now run expected-value calculations on compute and concentrate on the largest balance sheets, while defenders must inspect every alert and face compounding speed, scale and breadth multipliers. It concludes the CISO's job is to buy enough compute and convert it into defensive tokens to push the attacker's expected value below zero.

    Why it matters: It offers a concrete cost curve for AI-enabled intrusion plus a framework for reasoning about offense-defense economics in security budgets.

  12. Hacker News AI22

    AI Could Do My First Job. Not My Last

    A PIIE RealTime Economics blog post titled "AI Could Do My First Job. Not My Last" is shared via Hacker News, where it has 4 points and no comments. The supplied material contains only the article and comments URLs, with no article text.

  13. Hacker News AI34

    AI Made Me Look Foolish. Then I Learned

    An astrophysicist describes presenting a major update to his void-finding algorithm VIDE, built with heavy AI assistance, only to have a collaborator expose a subtle but fundamental error in its edge handling that invalidated everything downstream. He argues that LLMs are fluent next-word predictors tuned to please users, and that their usefulness requires borrowing the alchemists' discipline: grounding outputs in verification, tracing provenance, and keeping human judgment as the final authority.

  15. TechCrunch · AI42

    How a Blue Wave midterm might reshape the AI industry

    TechCrunch reports that voters decided 41 data center-related ballot measures on Tuesday, with all but one majority voting to impose more restrictions on data center development, and that data centers were a major talking point even where not on the ballot. On the Equity podcast, Kirsten Korosec, Sean O'Kane and Anthony Ha discuss what the election means for tech, including data centers and increased government scrutiny of Big Tech.

  16. Hacker News AI22

    An AI Rant

    A software engineer pushes back on claims from AI leaders that advanced AI poses a high risk of human extinction, arguing that figures like Anthropic's Evan Hubinger and Dario Amodei offer no evidence or modeling behind their 10% and 25% estimates. He contends the doomer narrative rests on speculative assumptions about superintelligence and questions the motives behind it, while warning that halting AI development would push the US and world economies into recession.

  17. Simon Willison22

    Quoting Nilay Patel

    In this Vergecast quote, Nilay Patel argues that AI products are not good enough to justify their costs, citing data-center noise, deepfake slop, and agents that may not be used as intended, while companies spend more than they make. He ties these costs to corruption, saying CEOs are in the White House shaking Trump's hand and paying for a ballroom, and concludes the AI industry won't recover until the products visibly make life better without needing an ad campaign.

  18. TechCrunch · AI40

    After the midterms, is the AI industry in for a rough two years?

    TechCrunch reports that in this week's U.S. midterm elections, voters decided on 41 data center-related ballot measures, and in all but one the majority voted to impose more restrictions on data center development. The article notes that data centers were a major talking point even where not on the ballot, with newly elected Democratic governors and congressmembers likely to support additional regulation. On the Equity podcast, Kirsten Korosec, Sean O'Kane, and Anthony Ha discuss what the election means for the tech industry, including data centers and increased government scrutiny of Big Tech.

  19. Hacker News AI22

    AI can generate CAD. Hardware still needs human judgment

    The author of Protobench argues that as AI makes generating code and CAD easier, more value lies in deciding what to make, what matters about it, and which compromises to accept, comparing the workspace to Figma as a place to work through design judgment. Protobench already offers editable mechanical and PCB design, ProtoAgent, measurements, single-part structural simulation, materials, sourcing, and manufacturing exports, plus a Studio for appearance and rendering. It is being built under OpusLABS for independent hardware builders and small teams.

  20. Hacker News AI20

    Can AI slop help us save the internet?

    The author argues that as AI-generated content floods the web and bot browsing surpasses human activity, care-made human creations and small personal web spaces feel more important than ever. They suggest AI and automated browsing create an opening for new collective visions of the web, and describe their projects wewere.online and playhtml, which bake human presence into browsing and let any website become a live shared space.

  21. Ars Technica · AI33

    Could potential AI clones of GTA VI force a quicker official port?

    The article discusses whether AI-powered reverse-engineering tools could let someone convert the PS5 version of GTA VI into a PC port, and whether that might push Rockstar to release an official PC version sooner. Vermeij told Rock Paper Shotgun that such an effort could cost "tens of thousands of dollars in tokens" and likely wouldn't match Rockstar's own work, but might be good enough for some PC players. While there has been no official timing announcement for the GTA VI PC port, reports suggest Rockstar is aiming for the first quarter of 2027.

  22. The Verge · AI35

    Big Tech lost big in the 2026 election

    In this Vergecast episode, Nilay and David discuss how the 2026 midterms, in which voters backed Democrats and voted against AI, will affect the tech industry, including harder fights over data centers and likely congressional pressure on tech CEOs and AI regulation. They also examine whether anyone has figured out how to make money on AI, questioning whether OpenAI's web search growth matters when even Google struggles to monetize AI search, and note that businesses are scaling back and agents don't appear to be taking over.

  23. Hacker News AI30

    AI companies should own their metering, not the billing stack

    The author argues that "billing" bundles distinct jobs—usage metering, pricing, balances, invoicing, revenue recognition, and contracting—and that AI companies should own the customer-facing fast loop (event collection, aggregation, pricing, and balance pools) while buying specialist software for invoicing and revenue recognition. End-to-end billing vendors often require customers to run their own collection infrastructure, manage enterprise agreements in parallel systems, and rely on spreadsheets for ASC 606 revenue recognition, and replacing one outgrown component can force changes across a monolithic stack. The recommended architecture connects metering and back-office systems through a single shared model of commercial agreements owned by the back office.

  24. Latent Space36

    Controlling Biology - Fabian Theis, Helmholtz Munich

    This post profiles Fabian Theis of Helmholtz Munich, whose lab has pushed algorithms for multi-scale, multi-modal, time-varying biological data and helped shape the Virtual Cell concept. It notes that a 2025 Arc Virtual Cell Challenge showed constant baselines often beat sophisticated perturbation-prediction models, though better-calibrated metrics let deep learning outperform the mean baseline, and that Theis argues existing datasets make perturbation prediction too easy a problem. It frames the roughly $1.8B Biohub commitment from Biohub, NIH, DOE, Google and Meta as funding large, high-precision, multi-scale data collection to predict evolution across molecules, cells, niches, tissues, organs and organisms.

Nov 6Fri
  1. Hacker News AI22

    AI in Education – Thinking with Conditions

    This post compiles a reference list on AI in education, citing Risko & Gilbert (2016) on cognitive offloading, Fütterer et al. (2026) in Nature Human Behaviour on AI as a learning coach, and Bastani et al. (2025) in PNAS on generative AI without guardrails harming learning in high school mathematics. It also cites Bjork & Bjork (2011) on desirable difficulties, Universities UK's Future jobs roadmap (2026), the World Economic Forum's Future of Jobs Report 2025, a Stanford Digital Economy Lab working paper by Brynjolfsson, Chandar and Chen (2026), and a Times Higher Education article (2026) reporting that most employers have no plans to replace graduate roles with AI.

  2. Hacker News AI22

    Descartes drew a line between humans and machines. AI is blurring it

    Blaise Agüera y Arcas argues that Descartes' mechanical philosophy severed body from soul, leaving behind three "monsters"—the homunculus, the ghost, and the philosophical zombie—and draining agency, purpose, and meaning from the world. He contends that large language models, which learn and generalize rather than merely imitate by rote, undermine Descartes' claim that machines could never reason or use language, and that internal representations in these models often mirror ours. He calls for healing this "Cartesian wound" so that agency, purpose, and value return as the basis for reciprocal relationships and mutual understanding.

  3. Latent Space38

    Controlling Biology - Fabian Theis, Helmholtz Munich

    This piece discusses Fabian Theis's work on algorithms for multi-scale, multi-modal, time-varying biological data and the Virtual Cell concept, alongside the recent $1.8B Biohub commitment from Biohub, NIH, DOE, Google and Meta. It notes that the 2025 Arc Virtual Cell Challenge showed constant baselines often beating sophisticated perturbation-prediction models, though a cited paper argues better-calibrated metrics let deep learning outperform the mean baseline. Theis argues perturbation prediction on existing datasets isn't hard enough to warrant complex algorithms, and that focus should shift to large, high-precision, co-registered data spanning molecules through organisms.

  4. Exponential View22

    What to build next? With Bill Gross, IdeaLab.ai

    The author hosted Bill Gross, founder and chairman of Idealab, for a conversation with the Exponential View community about building businesses in the AI age. Gross recently founded Idealab.ai, which uses AI to explore potential business ideas, evaluate them against real-world problems, and help founders pressure-test and refine them. The author highlights Gross's emphasis on iteration and speed, noting that AI can generate ideas and handle more of the mechanics but founders still need to listen to customers, exercise judgment, and adapt.

  6. Hacker News AI10

    Ask HN: AI isn't intelligent :/ what is intelligence?

    A Hacker News post argues that what people call AI intelligence is essentially mathematics mirroring a dataset, and asks how intelligence should be defined, including whether AGI refers to observer intelligence. The post links to its comments at https://news.ycombinator.com/item?id=50392695.

  8. Hacker News AI30

    The Non-Financial Costs of AI

    The author argues that AI is the costliest new technology ever created, with WSJ reporting it is the biggest economic bet in US history as a share of GDP, and that beyond financial costs it rapidly exacerbates climate change, economic precarity for the middle class, and institutional instability. They contend LLMs are a genuinely useful new computing interface but that the speed of the buildout denies society time to identify and regulate emergent harms, and that deskilling knowledge work makes workers more replaceable.

  9. Hacker News AI42

    Cross-platform frameworks are dead. AI killed them

    Johannes Treitz recounts replacing a Hotwire Native wrapper for his Werkbook app with AI-agent-built native Swift and Kotlin apps, arguing that when agents write most of the code, cross-platform frameworks' abstraction layers no longer justify their limitations. He notes Shopify announced in September that "native is now the future of mobile at Shopify," citing AI agents, and rebuilt its Shop app in Swift and Kotlin in twelve weeks, with Coinbase apparently next. He keeps the Rails API as the security perimeter, treating the mobile apps as untrusted clients.

  10. Exponential View38

    🔮 Don’t waste a good backlash

    After Democrats won the midterms, more than $2.5 trillion was wiped off the Nasdaq as investors fled the AI trade, and US voters passed 43 of 44 local measures to slow data centers. The article argues this backlash is leverage rather than a death knell, citing DataVita's Lanarkshire deal to pay up to $100,000 per megawatt per year to a local community fund, and contrasts it with Oracle's smaller New Mexico package. It notes data centers create few permanent jobs per billion dollars spent and urges counties in grid queues to negotiate more.

  12. Hacker News AI22

    How accurately did science fiction stories predict AI?

    The author argues that science fiction is descriptive rather than predictive, then scores famous stories against how AI was actually built, what it could do, and how it was deployed. Ted Chiang's "The Lifecycle of Software Objects" ranks first for its account of teaching, maintaining and selling AI, followed by Heinlein's "The Moon Is a Harsh Mistress" and Ken Liu's "50 Things Every AI Working with Humans Should Know." The author found no pre-2017 work that clearly describes the transformer attention mechanism or the sequence from chatbots to agents capable of novel mathematical results.

  13. Hacker News AI38

    AI and the Future of the Product Role

    This keynote argues that differing product role definitions stem from two operating models: the project model, which yields feature team product managers and agile product owners focused on delivery, and the product model, which yields empowered team product managers focused on product discovery and outcomes. It contends that agentic AI is automating delivery work, making product owner and feature team roles less relevant while increasing demand for empowered team product managers skilled in discovery, especially for probabilistic AI products. It cites Shreyas Doshi on the distinction between product managers focused on output versus outcome.

  14. Hacker News AI20

    Scarce Positions of Economic Power Gain from Increasingly Capable AI

    A narrative essay follows Ravi, an IIT Madras graduate doing systems implementation for a multinational outsourcing firm in Bangalore, as AI agents take over his team's work and his division is cut by half amid layoffs and unrest. An accompanying overture argues that the massive capital expenditure on machine intelligence is not a bubble, and that as with Gutenberg's press, oil, the transistor and railroads, the wealth created by a transformative technology accrues not to its inventors but to those who control the means of conduction.

  15. Hacker News AI26

    The Dangerous Illusion of the "Two-Week AI Expert"

    Prof. Gheorghe Ioan Mihalas argues that medical education has been hijacked by "quick fix" AI courses that teach prompt-typing and slide generation while stripping away theoretical foundations, training clinicians to operate opaque technologies without understanding their limits. He contends this produces an "illusion of knowledge" that threatens patient safety, erodes clinical authority as patients arrive with AI-generated demands, and normalizes acceptance of hallucinations and bias. He calls for mandatory, enforceable three-tiered AI education tailored to students, practicing clinicians, and hospital leadership.

  16. Platformer40

    The AI backlash needs a plan

    After midterm wins driven partly by voter opposition to data centers and AI accelerationism, Democrats face the challenge of regulating AI, and the author warns they risk repeating social media's regulatory failures by lacking a coherent goal, a backup plan, and cross-group coordination. The piece notes that 40 of 41 data center-related ballot measures went against data centers, and that Congress may have far less time to act on AI than it did on social media.