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title: 'The Search Engine for the Agentic Web — Will Bryk, Exa'
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  Exa never meant to sell an API. Somebody sent them a message on Twitter asking
  for programmatic access to their search engine, and the answer was no, because
  there was no API to give. Then more people asked, including the roommate who
  lived downstairs, and the company realized it had been building the wrong
  product for the right reason. Will Bryk started the company in 2021 under a
  different name, launched a consumer search engine in 2022, and watched the
  world reorganize itself around chatbots two weeks later. The insight that
  saved them is now the premise of the whole business: a model, however large,
  is tiny compared to the internet, so it will always need to reach outside
  itself. Bryk opens with a chart of web searches per day over thirty years, and
  says 2026 is the crossover year, the first time searches issued by machines
  exceed searches issued by people. He expects a thousandfold gap after that.
  The founding thought experiment is worth the price of admission. Take one
  complex query and one document, run a language model over the pair, and ask
  whether they match. It does that extremely well. Now run it across a trillion
  documents for every single search and you have perfect retrieval, at roughly
  ten million dollars per query. Everything since has been an exercise in
  driving that number down by nine or twelve orders of magnitude. Bryk also
  makes an argument about what search is for. Type shirts without stripes into a
  mainstream engine and you get shirts with stripes, because it was built to
  recommend rather than to answer, and an agent wants the opposite. Speaker
  info: - https://x.com/WilliamBryk - https://www.linkedin.com/in/william-bryk/
  Timestamps: 0:00 - The year machine searches pass human searches 2:08 -
  Misinformed anarchy and a trillion page web 3:10 - Shirts without stripes 4:47
  - The most important neglected problem 6:05 - The thought experiment behind
  perfect search 8:25 - The message that created the business 9:28 - People
  search simply, agents do not 10:42 - Complex queries, fast queries, fewer
  tokens 13:38 - A marketplace for private data 14:42 - A year of research in a
  second --- Watch along with the corrected transcript, summary, timestamps and
  resources on this talk's official AIE page:
  https://ai.engineer/talks/59AA5kIoqjA-youtube-0de56212c994927345ea Join our
  upcoming AI Engineer conferences (see https://ai.engineer landing page): -
  AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and
  engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference
  returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS
  2026 in Sydney ---
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# The Search Engine for the Agentic Web — Will Bryk, Exa

Exa never meant to sell an API. Somebody sent them a message on Twitter asking for programmatic access to their search engine, and the answer was no, because there was no API to give. Then more people asked, including the roommate who lived downstairs, and the company realized it had been building the wrong product for the right reason. Will Bryk started the company in 2021 under a different name, launched a consumer search engine in 2022, and watched the world reorganize itself around chatbots two weeks later. The insight that saved them is now the premise of the whole business: a model, however large, is tiny compared to the internet, so it will always need to reach outside itself. Bryk opens with a chart of web searches per day over thirty years, and says 2026 is the crossover year, the first time searches issued by machines exceed searches issued by people. He expects a thousandfold gap after that. The founding thought experiment is worth the price of admission. Take one complex query and one document, run a language model over the pair, and ask whether they match. It does that extremely well. Now run it across a trillion documents for every single search and you have perfect retrieval, at roughly ten million dollars per query. Everything since has been an exercise in driving that number down by nine or twelve orders of magnitude. Bryk also makes an argument about what search is for. Type shirts without stripes into a mainstream engine and you get shirts with stripes, because it was built to recommend rather than to answer, and an agent wants the opposite. Speaker info: - https://x.com/WilliamBryk - https://www.linkedin.com/in/william-bryk/ Timestamps: 0:00 - The year machine searches pass human searches 2:08 - Misinformed anarchy and a trillion page web 3:10 - Shirts without stripes 4:47 - The most important neglected problem 6:05 - The thought experiment behind perfect search 8:25 - The message that created the business 9:28 - People search simply, agents do not 10:42 - Complex queries, fast queries, fewer tokens 13:38 - A marketplace for private data 14:42 - A year of research in a second --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/59AA5kIoqjA-youtube-0de56212c994927345ea Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/the-search-engine-for-the-agentic-web-will-bryk-exa-9fcc24f98fab · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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