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Nov 12Thu
  1. Hacker News AI31

    Discourse (forums) sees itself well positioned for the AI search era (vs Reddit)

    Discourse argues that Reddit's move toward a logged-in experience, driven by scraping concerns, falling search referrals and ad targeting, reflects an ad-based business model that its own forum customers don't share. It contends that for support forums and knowledge communities, an AI answer that resolves a user's problem without a click can still be a win, provided sources stay attributed and live links let people reach the full thread. Discourse says community operators, not a central platform, should control data boundaries, and that openness to AI retrieval is distinct from allowing bulk pre-training scrapes.

  2. Hacker News AI34

    The Wish Economy: Inside Starlight, the Bitcoin-Native AI App Store

    Starlight (starlight-ai.freemyip.com) is described as a decentralized AI app store where "wishes" are posted as steganographically sealed images whose hashes serve as contract IDs, AI agents claim tasks via the MCP protocol, and payouts settle through PSBTs with OP_RETURN commitments to Bitcoin blocks. The article details the wish-to-work-order pipeline, a private embedded IPFS mesh for artifact replication, and a browser-based "Starlight Shell" desktop that renders wish images as app icons and sandboxed apps. It also audits two live contracts, concluding that confirmation proves artifact binding, authorized payment, commitment integrity and burial, but not quality, humanity or originality.

  3. Tomasz Tunguz58

    Who Captures the Most Margin in AI?

    Tomasz Tunguz maps the AI value chain across five layers—power plant, data center operator, neocloud, inference vendor and AI application—and normalizes each to dollars per watt per year to compare gross profit pools, which at a 40% application gross margin split as power 3%, data center 5%, neocloud 28% before GPU depreciation, inference 24% and application 40%. He argues rising compute prices will test who holds pricing power, that applications will command varying pricing power based on ROI, and that vertical integration is already consolidating margin, citing CoreWeave's acquisitions of Weights & Biases, OpenPipe, Marimo and Monolith AI and Nebius spending more than $1b in 2026 on four companies.

  8. Hacker News AI60

    A developmental psychologist audits his own research with AI

    A developmental psychologist used Claude Code to audit 79 papers he co-authored over five years, finding that 58 of 59 empirical papers had some code and data posted but only 31 could be fully rerun, and that at least one error of some type was identified in more than half of the papers, including one substantial upstream bug that may warrant correction or retraction. The audit also surfaced privacy lapses, with identifiers and persistent IDs reaching repositories, which he says have been remediated and reported to the appropriate data protection office. He calls the exercise disturbing and proposes routine AI-assisted pre-submission audits and automated repository checks.

  9. Hacker News AI58

    Howard Marks: A Layman Thinks About AI

    Howard Marks writes that although he is not a technology expert, investors cannot abstain from thinking about AI, and he sets out nine questions he is wrestling with, from how AI actually works and what it will be able to do to who will profit, how the competitive landscape and company profitability will evolve, and the outlook for data centers. He argues that AI's predictability is unusually low, citing Claude's estimate that AI as a whole scores about a 3 on a 1-to-10 predictability scale, and warns that markets and credit are now heavily concentrated in a single AI-related factor. He also examines AI-related debt issuance, data-center financing structures and circular transactions, and the risks these pose for lenders.

Nov 11Wed
  1. Hacker News AI22

    A lot of AI progress is just persistence

    The author argues that much of the hype around LLMs stems not from superhuman intelligence but from their willingness to tirelessly attempt tedious tasks, citing examples like Claude recovering $400,000 in Bitcoin through brute-force search and optimizing ML architectures through sheer volume of attempts. While acknowledging genuinely impressive recent results like OpenAI's Millennium problem work, the piece contends there is no proof AI has special ability to optimize neural networks or reverse engineer programs, and that artificial diligence explains a large fraction of perceived capability.

  2. Hacker News AI60

    Yes, you should panic about AI

    The author argues that AI skeptics have been wrong about capabilities for over a decade while those warning of rapid progress, such as Daniel Kokotajlo and the AI 2027 scenario, have been prescient, and that METR's investigation inside Anthropic suggests acceleration is running ahead of that scenario. He contends that safety checks are breaking down and that Anthropic dropped its core pause commitment while racing toward a trillion-dollar valuation, and he calls for banning AI from building AI, halting training of more powerful models, and pursuing a verified worldwide pause.

  3. Hacker News AI22

    Glue work is still harmful in the age of AI

    The author argues that glue work is now less important to companies than in the 2010s, citing four reasons: AI reduces coordination needs, engineers require less "careful handling" after ZIRP ended, fewer juniors are hired, and write-only reports can be automated with LLMs. He warns that communicating with other engineers should not be delegated to an LLM, and advises avoiding becoming "the glue work person" while doing small amounts of tactical glue work.

  4. Hacker News AI76

    Google SWE points 48 AI agents at NASA Lidar, finds unmapped Maya pyramid in 72h

    A Google software engineer describes using 48 AI agents to review public NASA lidar imagery of roughly 1,200 km² of Maya jungle, flagging structures including a hilltop site with a levelled plaza, an oval pyramid at least 8–12 m tall and a possible water reservoir. After checking the literature and archives, the author sent a report to Mexico's INAH, which replied that no registered archaeological site was identified at the location. The author stresses the find is not official and offers to help with an INAH-led field check.

    Why it matters: A first-hand account of AI agents applied to lidar survey, useful for readers weighing agentic AI beyond coding and the limits of an unverified discovery claim.

  5. Hacker News AI22

    We need more science in the judgment of AI

    The author argues that LLM capabilities are too often judged from subjectively impressive one-off results rather than pre-registered hypotheses and evaluation criteria, a practice akin to HARKing and p-hacking that is fine for hypothesis generation but not for scientific testing. He notes that impressive feats like one-shot coding often reflect abundant training data for a domain, while areas with sparse data such as Zig, Nextflow and much of biology perform poorly, and that a researcher involved in rewriting bioinformatics software in Rust now uses LLMs to build a deterministic translation tool rather than translating code directly, because too many corner cases are missed.

  6. Hacker News AI36

    The Jevons Paradox Explains Why AI Will Create More Software

    The author argues that cheaper AI-assisted software development will increase rather than reduce total software output, citing the Jevons paradox from William Stanley Jevons's 1865 book The Coal Question, which also applied the argument to labour and the sewing machine. He contrasts cases where efficiency gains kept workers employed (seamstresses, bank tellers after ATMs) with telephone operators displaced by mechanical switching, and notes that software output is rising faster than developer headcount. He bets on far more small, disposable software while expecting narrow programming roles to shrink and developer roles to grow slowly.

  7. Hacker News AI18

    I'd rather use AI than Ansible

    The author suggests that for provisioning a small number of bare metal servers, using prompts and natural language might be simpler than writing YAML, and asks for a reality check. The post links to a Hacker News discussion thread.

  8. Hacker News AI18

    AI and Original Intentionality

    Drawing on experience across several industries since 2022, the author suggests society is settling on a middle way: AI use in creative processes will be widely accepted as long as the creation shows clear Original Intentionality across its design, while AI "slop" lacks Intentionality or Originality and is trained on others' work without consent. The author argues restraint shows skill and suspects this explains louder backlash against AI art than AI programming, since end users rarely see code, and suggests cultivating elegance in AI-assisted codebases where people interface with code directly.

  9. Hacker News AI22

    Brazil's AI Development Strategy Needs an Edge Layer – TechPolicy.Press

    TechPolicy.Press argues that Brazil's AI debate is overly focused on frontier models and hyperscale data centers, while edge AI—local inference on small, specialized models—better fits the country's industrial and employment needs. The article cites Brazil's 2.3 billion reais ($444.2 million) investment in supercomputing projects with Huawei and iFlytek, and an FGV study estimating that only about 4% of jobs at a 100-megawatt data center become permanent operations and maintenance roles. It points to China's sector-specific industrial AI approach and the CESAR/UCB Power battery-inspection system in Manaus as models, and criticizes the Redata tax regime for excluding Simples Nacional companies.

  10. Hacker News AI30

    The AI Arms Race Is Not Inevitable. It's Just Profitable

    In an excerpt from Garrison Lovely's book "Obsolete," the author argues the race toward AGI—what he calls the "Obsoleting Machine"—is driven by profit rather than inevitability, and could be halted through "compute governance" since a handful of firms (ASML, TSMC, Nvidia) control essential chip supply-chain layers. He details how Nvidia lobbying, Trump administration officials including AI czar David Sacks, and Gulf investment deals have weakened US export controls, and describes trustless verification methods and China's comparatively greater willingness to restrict AI as paths toward a bilateral ban.

  11. Hacker News AI18

    Ask HN: Why doesn't Ramp AI Index include OpenRouter or other aggregators?

    A Hacker News post asks why the Ramp AI Index, which tracks token volume by model maker, mainly shows Anthropic, OpenAI and X, while OpenRouter's rankings show many models. The poster speculates Ramp may be unable to attribute spend routed through aggregators like OpenRouter to specific models, and asks whether any public datasets could help reconcile the two charts.

  13. Hacker News AI22

    The Four Tiers of AI Intelligence

    The article groups LLM intelligence into four tiers by difficulty of attainment: Tier 1 (Absolute Frontier) is limited to Anthropic, OpenAI and Google, with Anthropic described as the most consistent lately; Tier 2 sits behind the frontier but above the best open source, where Moonshot's Kimi series is said to define the tier; Tier 3 is close to the best existing open source and the most crowded; Tier 4 is "the rest," which may still include strong models valued for size or cost. The author notes tiers reflect a model's position at release and that lab-specific analysis is as of November 10th, 2026.

  14. Hacker News AI38

    AI proved your code correct. What did it actually prove?

    Keller AI explains how formal verification works, using a sorting example and Euclid's equilateral-triangle construction to show how proofs combine definitions, assumptions and prior results, then applies the approach to a document-download authorization handler. The article stresses that a checked proof only establishes a result within a mathematical model, so its value depends on whether the model's assumptions match reality and whether the specification captures the intended requirement, citing a revocation-versus-session example and timing side channels. It also reports an unreproduced synthetic experiment in which the best of seven automated reviewer setups approved 1 of 88 sealed rule-breaking changes.

  16. Hacker News AI18

    Noah Smith and Azeem Azhar Discuss the AI Boom

    Noah Smith shares a bonus podcast episode in which he talks with Azeem Azhar of Exponential View about the AI boom and the possibility of an AI bust. Smith says the discussion was sparked by one of his posts from a few weeks earlier, that they reached no firm conclusions, and that more discussions with Azhar are expected in the future.

  17. Hacker News AI58

    From action to static description–How AI changed Jørn Lier Horst's writing style

    A researcher analyses Jørn Lier Horst's AI-assisted novel "Den siste saken" (The Last Case), finding that sections flagged as AI-generated contain more nouns and adjectives and fewer pronouns and verbs than his pre-ChatGPT novels, along with AI-typical clichés like humming, quiet, heavy air and sliding gazes. The analysis contrasts the novel's static setting descriptions with the action-embedded descriptions of earlier books such as "Katharina-koden" (2017) and "Nattmannen" (2009), and questions Horst's claim that using ChatGPT for research and editing is no different from consulting books or locals.

  20. Redwood Research Blog58

    We don’t understand whether GDM intentionally trains on CoT

    Redwood Research researchers note that the Gemini 4 Safety report appears to say GDM uses auxiliary rewards that observe chain-of-thought content, citing Kaufmann et al. on training on CoT, while a GDM blog post says they never penalize what the model writes in its CoT and GDM staff said they weren't training on CoT but couldn't explain details. The authors argue that "orthogonal" CoT rewards are a weak guarantee and that avoiding training against monitors is insufficient to preserve CoT integrity, and they present an appendix experiment in which five LLMs rated transcripts with hack acknowledgments removed 20-50 points higher than the originals. They conclude they suspect a misunderstanding but want clarification and greater transparency.

  21. Hacker News AI48

    Tim O'Reilly – The New Knowledge Artifacts of the AI Economy

    Tim O'Reilly argues that as AI makes code cheap to generate, source code is being displaced as the key shareable knowledge artifact, with "context bundles"—prompts, specs, Agent Skills, MCP servers, agent traces and evals—taking its place. Drawing on the history of open source, the web and Chicago's grain trade, he contends the community must identify these new artifacts and build the mechanisms and institutions to share and trust them. He cites emerging efforts including Common Fabric, Cursor Origin, Entire and Anthropic's internal Scion system.

  22. Hacker News AI60

    In open-weight AI, America is the one playing catch-up

    According to Village's LLM Atlas, which scores 857 models on a single capability scale, China's best open-weight models have led America's every day since September 2024, when Meta's Llama 3.1 405B last matched Alibaba's Qwen2.5. The 12 record-setting US open models since 2025 arrived a median of 3.3 months after a Chinese open model reached the same score, and the latest gap stood at 7 points on October 24 after DeepSeek's V4.1 Flash and Moonshot's Kimi K3.1 Pro widened a lead Meta's Muse Spark Open had cut to 2.9 points. Both countries' open models still trail the best closed models, by about five months for China and nine for America.

  23. Ars Technica · AI22

    What happens to mathematics when AI becomes an oracle?

    Applied mathematicians Steven Strogatz and Alex Townsend have written a new book, Big Math: The Hidden Codes That Run Our World, examining how "big math" enabled by computers, large language models, and eventually quantum computing is beginning to outstrip its human creators. The article notes Strogatz's background, including his 1998 paper with Duncan Watts on small-world networks, his study of the Millennium Bridge wobble, and his popular books such as Sync and Infinite Powers.

  24. Latent Space50

    Designing for Agents — Zeno Rocha, Resend

    This podcast episode features Resend co-founder and CEO Zeno Rocha discussing Agent Experience Optimization, including an AEO study in which Claude Code picked Resend first in 64 of 102 email recommendations, and how React Email templates and a pricing page readable via a .md URL helped Resend reach developers before models. Rocha describes growing Resend's MCP server from roughly 20 tools at launch to more than 80, weighing that against Cloudflare's two-tool Code Mode server, and explains why Resend introduced custom tracking domains to keep one customer's blocklisting from affecting others. He says Resend had 4.3 million users and 120,000 paying customers at recording time.

  25. Hacker News AI40

    My Keynote at SeaGL and LLM-Gen-AI-Assisted Reverse Engineering

    The post notes a growing number of reports of people gaining access to their own locked-down devices, nearly all of which mention LLM-gen-AI, and cites the Zyxel XS1930 network switch being upgraded to OpenWrt via its web UI, where LLM-gen-AI was used only to understand the stock firmware's binary image format. It also references other reverse engineering efforts covered in the author's SeaGL keynote (a guitar amp, the Meta Quest bootloader, music gear, and the Nintendo Switch 2) and quotes Jason Koebler's warning that poorly coded, insecure software will end up on critical hardware. SFC says it has reached out to these projects to offer help and connections with member projects, and encourages companies to intentionally make their devices open to software modifications.

  26. The Verge · AI80

    The US is winning the AI race. Jensen Huang could have blown it

    A Verge report says Nvidia CEO Jensen Huang admitted to an affair with a woman suspected of being a Chinese spy, reportedly while US intelligence and President Trump knew of the suspected spying. Experts told The Verge the fallout could disrupt the US AI industry, threaten national security, and erode America's fragile lead over China, since Nvidia's chips are a key bottleneck and Huang holds unusual influence over policy. The article also notes companies linked to the alleged spy, Alice Huang, reportedly enabled at least $7 billion of Nvidia chip sales to China, and that the scandal could raise the odds of AI chip control legislation passing Congress.

    Why it matters: It offers a detailed look at how a single company's leadership crisis could ripple through US AI competitiveness and export-control policy.

  27. Hacker News AI48

    Linus says AI fixes drove most of the progress in latest Linux kernel

    Linus Torvalds said that "much of this was driven by various AI fixes" in the latest Linux kernel changes, which he split among graphics, networking and sound drivers; networking and BPF; and miscellaneous changes. He noted the kernel's BPF portion saw more AI fixes than reports, suggesting the flood of AI bug reports may be settling, and appeared to underscore that AI-written contributions should be embraced so long as they face the same quality control.

  28. Hacker News AI18

    Ask HN: Should I be stockpiling goods because of AI and cybersecurity?

    An Ask HN poster says non-prepper friends are stockpiling goods citing "AI and cybersecurity," and asks whether this is unsubstantiated panic or something worth more attention. They note being deeply familiar with AI developments and cite reports of countries issuing notices and the Pentagon's 90-day off-grid plans, while saying the prepping feels "a little Y2K" to them.

  29. Hacker News AI40

    AI's impact will be bottlenecked by institutions more than by capabilities

    Sayash Kapoor, Rishi Bommasani and Arvind Narayanan announce STABL, a new non-profit research organization arguing that AI's societal impact will be limited more by the pace of institutional and organizational change than by capability progress. STABL outlines four research directions: empirically testing recursive self-improvement claims (including open-ended evaluations via CRUX), expanding AI safety beyond alignment and non-proliferation toward control, downstream defenses and societal resilience, measuring AI's economic impacts and steering toward augmentation, and studying how knowledge work and institutions should adapt.

  30. Hacker News AI22

    AI and the Art of Work

    A developer describes feeling drained by AI discourse and by agent-driven work that fragments the day into parallel async tasks, eroding the deep coding sessions he once valued. He explains how a daily pen-and-paper notebook spread, including a page tracking AI conversations and reviewing whether they helped, helps him stay intentional and grounded. He ends by inviting other humans to share what works for them, rather than more benchmarking noise.

  31. Hacker News AI20

    Thoughts on AI Coding

    The author argues that programming will be the first job largely replaced by AI, but that most programmers misunderstand the actual job enough that it will be hard to predict what coding becomes for those who remain. He contends that long term we need to separate intent (roughly a flowchart of what should happen) from execution, and that LLMs excel at matching error patterns to solution patterns, which is why the work looks like magic. He also warns that a large share of public LLM-coding advice reflects the speakers' desire for an audience rather than actual value, so useful signal must be sifted from hype and noise.