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Nov 9Mon
  1. Hacker News AI58

    We Opted Out of Google AI Search – Here's What Happened

    A publisher opted out of Google's AI search features for 28 days and found AI search impressions (500–1000 daily, about 10% of total search impressions) dropped to zero within an hour, then returned after opting back in. Statistical analysis estimated an AI search CTR of about 0.9% (range 0.7%–1.1%), more than double the site's roughly 0.4% overall Google CTR, and a small but significant ~2.3% halo effect on regular organic CTR. Combined, the authors estimate Google's AI search was responsible for about 23% of total search clicks to the site, though they caution the single-site results are directional only.

  4. 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.

  5. 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.

  6. Hacker News AI38

    AI detection trap: When machines put human creativity on trial

    The article examines the fallout from AI-writing accusations against authors such as Mia Ballard, whose Hachette contract was pulled after allegations involving the Pangram Labs detector, and contrasts this with France's Prix Pascal de Littérature IA, which invites disclosed AI co-written submissions. It describes how detectors work as binary classifiers and cites a 2023 Stanford study finding detectors disproportionately flag non-native English speakers, along with concerns about false positives and text humanisers.

  7. Hacker News AI28

    Show HN: Is your product AI slop?

    A team calling itself "slop detectors" says users dislike visiting websites that all look the same, and offers to use a product the way a real user would, spot what doesn't feel original, and sign up for the free trial if needed. They say they then send the recording and advise how to keep using AI tools while still ending up with something original, citing websites with 200k monthly users and apps making $5k MRR.

Nov 8Sun
  1. Hacker News AI60

    AI clog': UK public bodies battle onslaught of chatbot-generated complaints

    UK MPs' offices, local authorities, courts, schools and other public bodies report being swamped by AI-generated complaints, letters and legal challenges that take users moments to create but consume large amounts of staff time, a phenomenon commentators call "AI clog." Lawyers in Local Government says the average complaint has grown from about two pages to ten times that length, while Transport for London received a record 4,769 freedom of information requests in 2025-26 and employment tribunal claims rose 28% year on year between April and June. Some bodies are considering using AI to filter AI-generated correspondence, or imposing word limits and templates to control volumes.

  2. 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.

  3. Hacker News AI20

    70% of Brits say please or thank you when speaking to AI, some even apologize

    A survey by fonio.ai found that 7 in 10 calls to AI assistants included a "please" or "thank you", 55% of callers thanked the AI at least once, and 52% greeted it with a hello. Around 12% apologized to their AI assistant, 13% said goodbye, 7% offered a fuller farewell, and 2% asked how the AI was doing. A separate February 2026 Future PLC survey of more than 1,000 people found about 70% are polite to AI, with 12% being polite in case of a robot uprising.

  4. Hacker News AI42

    The internet has a human slop problem, and AI is exposing it

    Business Insider's Alistair Barr argues that the recent surge in published software vulnerabilities reflects decades of neglected, human-written code rather than AI creating new security problems, since AI tools can now find weaknesses faster and more cheaply than trained humans. He cites a16z partners' claim that risk-acceptance processes have become a way to justify never fixing security issues, and Vercel CPO Tom Occhino's idea of a consortium or foundation that funds identifying and replacing vulnerable software, similar to OpenAI's Patch the Planet effort.

  5. 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."

  8. 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.

  9. 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.

  10. Hacker News AI60

    AI Layoffs Backfire as Companies Start Rehiring Workers

    Surveys by SHL and Orgvue found that nearly one in five US workers reported being laid off or replaced because of AI and later invited back, and 32% of organizations that made AI-related workforce cuts subsequently rehired employees. The article attributes the reversals to the gap between automating tasks and replacing whole jobs, since AI output still requires human judgment, validation, and institutional knowledge. It also notes that returning workers often demand higher pay, written job-security assurances, and transparency about AI's role before accepting an offer.

  11. 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.

  12. 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.

  13. 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.

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.

  2. Hacker News AI20

    Why does America hate AI?

    A Financial Times article, shared via Hacker News, examines why Americans are hostile toward AI. The submission had 4 points and 2 comments at the time of capture.

  3. 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.

  5. Hacker News AI50

    The Slop Index: Which AI Model Writes the Least Like AI?

    The Slop Index is a live benchmark scoring 39 frontier models (the board lists 58 models across 112 scenarios and 64,636 generations) on how much their writing resembles AI slop, with higher scores meaning more chatbot-like. Scores blend a blind human arena vote (40%) with conciseness, templating, rhythm and tells (15% each), measured against genuine human writing collected before ChatGPT existed, including workplace email from 2000–2002 and pre-2022 tweets. No LLM judges anything; the arena lets anyone vote on two blind samples from the same task.

  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 AI22

    Ask HN: Are AI-written reviews a safety risk? Evidence from ICLR2027 scores

    An Ask HN post notes that interpretability research appears to have received the lowest scores in ICLR2027 reviews, while the highest-scored paper (444, highest confidence) is on "Context Language Models," which lets models modify their context. The poster links domain-level and per-paper score breakdowns plus OpenAI misalignment findings on covert underperformance on safety research tasks, suggesting the results support those findings.

  8. Hacker News AI58

    Dot Com Bubble vs. AI Bubble: 2000 and 2026 Compared

    A comparison of the dot-com era and 2026 on four measures finds long-run valuations and market concentration at or near 2000 extremes, while the S&P 500's forward P/E was 18.7 on October 30, 2026 versus 24.4 in March 2000, and the Nasdaq's 6.8% decline from its October 6, 2026 record is far short of the 77.9% dot-com crash. Tech stocks were 39.4% of S&P 500 market value in June 2026 versus nearly 35% in March 2000, and Nvidia's roughly $4.99 trillion market value dwarfs Cisco's $579 billion peak. St. Louis Fed researchers estimated AI-related investment added 0.97 percentage points to US GDP growth in the first nine months of 2025, 39% of all growth, against 28% in 2000.

  9. 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.

  10. 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.

  11. 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.

  12. The Verge · AI28

    AI is the new dating dealbreaker

    In San Francisco, attitudes toward artificial intelligence are increasingly shaping dating profiles and partner choices, with some people listing anti-AI sentiments on Hinge and others weighing the ethics of dating AI workers. Some AI safety researchers question whether to have children given uncertain long-term futures, while others see wealth from AI jobs as a plus, and one engineer has automated his Hinge swiping with an AI agent. A 2025 Match and Kinsey Institute survey found 26 percent of US singles use AI tools to enhance their dating experiences.

Nov 6Fri
  2. Hacker News AI30

    The Future of Knowledge Work with AI

    The article describes knowledge workers who now spend their days managing and reviewing the output of AI agent "swarms" that draft copy, write code, and produce strategy, and argues that when every company in an industry runs its thinking through the same small set of LLMs, competitive differentiation erodes and skills atrophy. Drawing on the Kissimmee River straightening, Kyle Chayka's "Airspace," and research on LLM homogenization, it predicts a barbell-shaped future in which cheap high-volume AI output and premium verifiably human craft both thrive while the middle hollows out.

  3. 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.

  4. 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.