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#Search
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 AI38

    AI search explained: indexing, retrieval and reranking

    This post walks through three retrieval approaches on a synthetic ten-note dataset from eight tools: text search using an analyzer and inverted index, embedding search using an embedding model and vector database, and embedding search with a reranker that reorders a shortlist by relevance. It shows text search missing paraphrases, embedding search surfacing semantically similar notes but ranking a refund how-to above the actual reasons, and reranking putting the relevant notes on top. It concludes with guidance on when to use each approach and notes that production systems often combine text and embedding search via hybrid search with reciprocal rank fusion before reranking.

  4. 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.

  2. The Decoder60

    OpenAI's partner content arrives in ChatGPT pre-summarized while the rest of the web gets raw scraps

    An analysis by Peec AI researcher David Konitzny found that content from OpenAI licensing partners flows into ChatGPT through a dedicated pipeline that gives it priority over the rest of the web. Through a field named "provider" populated by an engine called "labrador," he identified 12 publishers with 43 domains, including Condé Nast, Hearst, Axel Springer, News Corp, Reuters, and AP, plus recipe and product sites like Allrecipes, Tom's Guide, and Welt. Partner pages arrive as pre-generated summaries placed ahead of all web results, while regular pages arrive as raw text snippets; in 1,000 analyzed cases, summaries named 70 percent of entries in positions 1 through 3 but only 23 percent of those in positions 7 through 10.

  3. Hacker News AI38

    Show HN: I built a tool to audit Shopify stores for AI agent and Google Shopping

    A free tool that audits Shopify stores against Google Merchant Center product data rules and checks whether AI shopping agents like ChatGPT, Perplexity and Google AI Mode can read product facts. It returns two scores, lists every issue, and rebuilds the five worst products from the store's own photos and copy. It also offers free standalone checkers for AI crawler access, structured data, GTINs, titles, categories and feeds.

  4. MarkTechPost55

    Nace AI Releases Drex for Search for AI Agents: 92.05% on BrowseComp-Plus With 12.6 Search Calls

    Nace AI released Drex for Search, a retrieval layer for people and agents that coding agents such as Claude Code, Codex, Cursor and OpenCode call through CLI, SDKs, MCP or REST. Nace reports 92.05% on BrowseComp-Plus with GPT-5 using 12.61 search calls per question, and 77.5% R@1 on VisDocAgentBench with an open-weight Qwen 27B planner. On OfficeQA Pro, Nace says accuracy rose and agent turns fell across all 9 harness and model pairs it tested.