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Nov 13Fri
  1. The Verge · AI58

    AI chatbots are recommending fake retail websites, study finds

    A study by IP protection firm Podqi, shared with The Verge, tested ChatGPT, Gemini, and Perplexity with shopping-related prompts about 151 brands and found all three cited risky sites, including fake retailer impersonators, re-registered old domains, and dead sites. Across 6,795 answers, Perplexity showed risky sites in 15 percent of answers, ChatGPT in 8 percent, and Gemini in 4 percent, with smaller brands appearing especially at risk.

Nov 9Mon
  1. Hacker News AI20

    Who do AI search engines name when buyers ask about 12 cold-email tools?

    A citation check run on 8 November 2026 put four buyer questions per tool to Groq web search and Gemini with Google Search for 12 cold-email and outbound tools, recording whether each tool's own domain was named and which domains were named instead. No tool was named in more than half of its own answers, and instantly.ai, mailshake.com and quickmail.com were never named; the two engines also disagreed, with lemlist.com named in 4 of 4 Gemini answers and 0 of 3 Groq answers. reply.io was not checked because its site did not answer the fetch during the run.

Nov 6Fri
  1. Apple Machine Learning Research38

    Faster Retrieval for Better, More Efficient RAG

    Apple researchers present amortized maximum inner product search (MIPS), training small neural networks offline on a fixed key database to learn the support function of the key set, which is convex and whose gradient returns the best-matching key. SupportNet learns per-cluster support functions to route queries more accurately than centroid-based routing, while KeyNet rewrites queries before a standard IVF index; on Natural Questions, SupportNet reached 95% routing recall about 1.9× faster than centroid routing, and KeyNet cut the time to 99% recall by up to ~8×. The work was presented at ICML 2026.

Nov 4Wed
  1. Hacker News AI48

    Block training, keep answers? What 13,938 sites ask of AI bots

    Trakis Research analyzed robots.txt files from 13,938 readable sites in Common Crawl's September 2026 archive and found that of sites blocking OpenAI's GPTBot by name, 17.1% also block OAI-SearchBot and 25.9% block ChatGPT-User. The figure splits sharply by method: sites using Cloudflare's managed robots.txt rarely block answer bots (0.3% and 1.0%), while sites writing their own rules block them far more often (31.3% and 47.0%). Training bots are blocked about three times as often as answer bots, while Googlebot and Bingbot are almost never blocked.

Nov 2Mon
  1. Hacker News AI58

    We tested 12 search APIs for AI agents. Even the best one isn't enough

    Telem.ai tested 12 web search providers on 363 agent searches with known answers and found the best single provider returned the known answer in its top five results 68% of the time, while all 12 together reached 84%, with most of the gain coming from adding a second provider (68% to 77%). For 14% of searches only one to three providers had the answer in their top five, and for 16% none of the 12 did. The team says it built Telem to close this gap and plans follow-up posts on provider result overlap and retrying after a miss.

Oct 29Thu
  1. Hacker News AI55

    What Drives AI Citations? FAQ isn't what drives ChatGPT citations

    A study of 158,099 answers and 468,037 citations across two 90-day collections of commercial questions finds that, within a single website, pages whose titles and paragraphs match the questions people ask are cited more, while FAQ blocks, structured data, summary boxes and page speed appear effective only across websites. Replaying questions through the engines' APIs shows every page ChatGPT cites is one its own search retrieved, and which pages that search retrieves explains far more of the variation than page properties (32% against 2.8%). The model's own knowledge also shapes results: ChatGPT writes brands it knows into its searches, prefers websites it knows, and names brands without any supporting page, with controlled experiments showing brand names reorder its rankings of products with identical facts.

Oct 28Wed
  1. Hacker News AI35

    AI shopping assistants confuse fashion subcultures: a small test

    A signed-out test of three public AI assistants across eight fashion aesthetics found that when an assistant does not know a style well, it fills the gap with a neighbouring style: Goth Ninja became Techwear, City Boy became Ivy, Amekaji became American workwear and Quiet Luxury became high-street minimalism. Daydream returned few or none of the record's key brands for most styles (0 of 92 for Amekaji, 0 of 105 for Quiet Luxury, 0 of 112 for 90s Ura-Hara and Acubi) and refused "Opium" twice, likely due to a drug filter, while ChatGPT named all 5 record brands for 90s Ura-Hara but drifted elsewhere. The author says the failing step is mapping an aesthetic to brands, and cites a public eval with Claude in which answers mixing in a neighbouring style's brands dropped from 17 of 30 to 2 of 30 with the record in context.

  2. Hacker News AI42

    AI crawlers in robots.txt: a study of the top 10k sites (2026)

    A study of robots.txt files across the top 10,000 Tranco domains found that 29.8% of files that block paths for all crawlers and name an AI crawler let that crawler past at least one block, because a named group replaces rather than merges with User-agent: *. 23.2% of files name at least one AI crawler, 14.8% block GPTBot from the whole site (21.6% among the top 1,000), and only 7.1% block training crawlers while leaving all nine answer engines open. 14.4% of responding sites serve a valid llms.txt and 2.7% of robots.txt files carry Cloudflare's Content-Signal line.

  3. Hacker News AI58

    I benchmarked 4 web search APIs for AI agents on 30 live queries

    Pallavi Singla benchmarked You.com, Tavily, Exa and Parallel on 30 agent-style queries across GTM, insurance and finance, with 3 runs per query (90 calls per API), and published the results, harness and data. Parallel led accuracy (67%) with You.com close behind (63%) and tied on fully correct queries, while You.com was fastest (593 ms p50) and freshest (4.1 h median newest relevant result) and never returned empty. The final run was Oct 8, 2026, and the author notes 10 queries per use case is a focused test rather than a leaderboard.

Oct 27Tue
  1. Hacker News AI50

    Show HN: Which big sites block AI training crawlers but let AI search in

    A study of the robots.txt rules of 945 well-known websites for 14 AI crawlers found that 25.9% block at least one AI crawler, while 9.2% block AI training crawlers but leave every AI search crawler open. CCBot was blocked most often at 19.6%, followed by Bytespider at 18.4% and ClaudeBot at 18.1%. The authors note the site list is not a statistical sample and that robots.txt shows what sites request, not what AI companies do.