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Nov 15Sun
  1. 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.

Nov 14Sat
  1. Hacker News AI12

    2017: "Future milestones in AI predicted by experts"

    A survey of 352 researchers who published at NIPS and ICML 2015 found experts expect AI to outperform humans at translating languages by 2024, writing a high-school essay by 2026, driving a truck by 2027, working in retail by 2031, writing a bestselling book by 2049 and working as a surgeon by 2053. Respondents put a 50% chance on AI outperforming humans in all tasks within 45 years and on automating all human jobs within 120 years, with Asian respondents predicting these dates much sooner than North Americans. Most believed AI will benefit humanity, giving only a 5% chance of an "extremely bad" outcome such as human extinction.

  2. Hacker News AI50

    AI, work from home, and the young-graduate job market

    US young college graduates face a weaker labor market, with a 22–26 bachelor's-degree employment-population ratio of 88% in September 2026, about 6% unemployment at end-2025, and longer job searches. Using Current Population Survey data, the analysis finds that occupational work-from-home adoption is significantly associated with slower young-graduate employment growth relative to mid-career workers, explaining 56% to 88% of the FTE employment-population decline from 2023 to 2026, while AI exposure and industry AI adoption show negative but statistically insignificant effects. The authors caution the model is suggestive rather than causal, given correlated factors such as interest rates, hiring swings, and immigration.

Nov 10Tue
Nov 7Sat
  1. 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.

Nov 6Fri
  1. Hacker News AI40

    App Store 2026 in numbers: AI, pricing, abandoned apps

    Obelisk Club analyzed 178,637 apps that appeared in App Store top charts across 173 countries and regions since October 9, 2026, finding that 9.8% mention AI in their listings (43% in Graphics & Design) and that apps selling in-app purchases or subscriptions are three times as likely to mention AI as plain free apps (19.9% vs 6.6%). Among free-to-download apps, 26.7% advertise in-app purchases or subscriptions, 20.3% of charted apps have not been updated in a year or more, and subscription and price complaints lead 1-2 star reviews at 12.7%.

Nov 5Thu
  1. Hacker News AI65

    We measured the impact of AI on 46 OSS repos (200k commits, 16M lines)

    Kerno's first-edition report analyzes 201,576 commits across 46 open-source projects from October 2024 to October 2026 and finds new code carries 8.1 decision points per 100 lines after AI adoption, up from 5.2, with complexity growth shifting from −0.4% to +3.1% a month. Each engineer ships 71% more production code per week, while AI-marked commits are revisited 43% more often than other commits and are 17% more likely to add a hard-to-test function. Claude signs 69% of AI-marked commits, which are 54% bigger than unmarked commits, and on the current trend complexity per 100 new lines would rise another 42% by late 2028.

  2. Hacker News AI60

    One in 20 UK adults now pays for an AI assistant

    A paper by Datta, Lambert and Schneider (2026) finds that 5.1% of UK adults paid for an AI assistant in June 2026, up from 2.3% a year earlier, based on bank payment records weighted to represent UK adults. Claude's share of AI subscription spending rose from 7% in December 2025 to 29% in July 2026, while ChatGPT's fell from 73.5% to 52.5%, and total AI spending in July 2026 was £1,600 per 1,000 adults, or about £1.07 billion a year at that rate. Adoption varies widely, with adults aged 20 to 29 5.9 times as likely as those 60 and over to have paid for AI, London leading at 78.5 paid users per 1,000 adults against a UK rate of 50.6, and IT professionals highest among occupations at 20.3%.

Nov 2Mon
  1. Hacker News AI20

    Competition in Generative AI: Evidence from Consumer Demand

    This is an NBER working paper (No. 35953, 2026) by Mark L. Egan, Dominic Russel, Claire Shi, and Vincent Yao titled "Competition in Generative AI: Evidence from Consumer Demand." The supplied material contains only the citation and DOI (https://doi.org/10.3386/w35953), with no findings or data.

  2. Hacker News AI29

    Argentina most exposed to AI impact in Latin America

    A CESBA study based on ILO data finds Argentina has the highest occupational exposure to generative AI in Latin America, with an exposure level of 0.292 on a 0-to-1 scale, behind only Canada and the United States in the Americas. Buenos Aires City's exposure reaches 0.353, which CESBA attributes to its concentration of service-sector employment (88%) and high education levels. The report is the first stage of a three-part plan that will assess actual adoption and convene companies, unions, and city government for dialogue.

Oct 31Sat
  2. Hacker News AI58

    Tracking 11,709 AI launches on Hacker News

    An analysis of every Show HN post about an AI product from 2022 through 2025 (11,709 products) found that about half are now dead, with launches rising from roughly 2 a day in 2022 to nearly 60 a day in 2026 while newer cohorts die faster: 2025 launches were 4.2x more likely to be dead within 18 months than 2022 launches (42% vs. 10%). The same trend appeared among 1,280 Y Combinator AI companies, though they die far less often, and launches with 100+ Hacker News points were about half as likely to be dead as those under 10.

Oct 30Fri
  1. Sakana AI Blog40

    Intelligence Report: Analyzing the US Midterm Elections Through SNS AI Analysis

    Sakana AI, which works on defense and intelligence alongside finance, describes an analysis of about 710,000 reactions to 2,042 X posts from both candidates and both parties' state organizations in the Texas Senate race, using its narrative analysis system and its Sakana Marlin product to cross-check X observations against polling, campaign finance, prediction markets and news. It says much of the "support" for Paxton before the Republican runoff was intra-party mobilization and fell from about 50% to under 20% after the runoff, and that shifts in evaluations of the candidates appeared about two months before major raters such as the Cook Political Report changed their judgments. The report argues such findings require human-AI collaboration, with AI deriving hypotheses from data at a scale humans cannot read and humans examining them and making final judgments.

Oct 28Wed
  1. The Decoder58

    New Artificial Analysis index widens the gap between open and closed models

    Artificial Analysis overhauled its Intelligence Index, causing Kimi K3.1 Pro to fall from fourth to ninth place behind eight closed models in version 5, and the gap between open models and the top of the leaderboard widened from 3 points to 12. For the first time, 60 percent of the index relies on private test sets to prevent "benchmaxxing," and Grok 4.7 also lost 12 points. AI researcher Nathan Lambert notes that many training gains now come from reinforcement learning environments resembling benchmarks, while closed test sets mean outsiders can no longer spot errors in prompts, as shown by revisions to the AA-Omniscience knowledge test.

  2. Hacker News AI58

    3 out of 4 responses to UK smoke-free generation consultation were AI-generated

    An analysis published in Tobacco Control, drawing on public data and Freedom of Information requests, found that 90,835 of the 118,756 responses (76%) to the UK's 2023 consultation on creating a smoke-free generation and restricting disposable vape sales were identified by the Department of Health and Social Care as fraudulent bot submissions. All bot-generated responses targeted a single multiple-choice question opposing restrictions on disposable vape sales, and after excluding them, 77% of valid respondents supported the restrictions. The researchers say the scale and directional consistency suggest a coordinated campaign, and describe it as apparently the first documented instance of large-scale automated interference in a formal public health policy consultation.

  3. ElevenLabs Blog22

    What shoppers choose once they’ve tried a retail AI agent

    ElevenLabs ran three studies across the UK, US, Canada, Australia, Europe, South Africa and Latin America in which most shoppers completed a real task with a live voice agent before answering questions. Nearly half chose speaking and hearing replies going forward, and voice was the top choice on all six shopping tasks, though comparing products split shoppers almost evenly; when told an agent had failed once, the share asking for a person rose from 24% for a late delivery to 61% for a wrong charge. Shoppers wanted a written record of resolutions, and 60% said they would abandon an agent entirely if there were no visible way to reach a person.

  4. Hacker News AI58

    Stanford Study: Give up AI for a month for $500?

    Using online choice experiments with representative samples of US adults fielded in July 2025 and March 2026, the authors estimate willingness to accept compensation for giving up access to generative AI chatbot tools for one month. Mean WTA rose from $98 in 2025 to $124.50 in 2026 (a 27% increase) while the median rose from $3.4 to $11.40, and combined with user base growth from 98 million to 115 million, these imply aggregate consumer surplus increased from $116 billion to $172 billion. Usage frequency was the strongest predictor of WTA, followed by workplace use and paid subscription status, with additional differences by gender, age, and ethnicity.

Oct 27Tue
  1. Hacker News AI62

    Is AI taking jobs? Census data through September 2026 says not yet

    Census data through September 2026 show no economy-wide AI job loss: the 135 occupations most exposed to AI grew 2.8% year over year versus 3.7% for the rest, a gap smaller than the survey's margin of error. The clearest exception is workers aged 22 to 25 in the most exposed quarter of occupations, whose employment grew 0.1% while young employment elsewhere grew 9.6%. The wiki rates its confidence medium, noting the exposure scores date from 2023 and no source isolates cause.