search engine

also referred to as: search engines

5 statements across 2 episodes · 2 bullish · 0 bearish · 2 people on the record · first statement Jan 10, 2025 by Will Bryk · across every show →

Everything said about search engine, oldest first

Jan 10, 2025 neutral
Insight
Bryk: The internet's content strictly mirrors what search engines optimize for
“Whatever the search engine optimizes for is what the internet looks like.”
Will Bryk Jan 10, 2025 ▶ 32:58 Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
Jan 10, 2025 bullish
Insight
Bryk: 200x drop in LLM costs requires rethinking search from scratch
“When some very useful tool goes down in cost by 200 X in like the space of, I don't know, a couple years, There are going to be new opportunities in search, right? So like, to not integrate this and build up, to not like rethink search from scratch, the search…”
Will Bryk Jan 10, 2025 ▶ 55:20 Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
Jan 10, 2025 positive
Opinion
Bryk: Searching the open long tail captures most web search value
“One response is just that there's so much value in the long tail of sites that are open. And just like, even just searching over those well gets you most of the value.”
Will Bryk Jan 10, 2025 ▶ 27:23 Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
Jan 10, 2025 neutral
Insight
Bryk: Search engines do not need PhD-level training data
“With search, you're asking, like, simple questions about billions of things, like, is this a startup? Did this person write a blog post about search? You know, those are actually simple questions. You don't need, like, PhD level training data.”
Will Bryk Jan 10, 2025 ▶ 49:13 Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
Apr 19, 2025 neutral
Insight
Bergum: Building knowledge graphs is the bottleneck in Graph RAG, not databases
“The core issue issue is actually to build the knowledge graph, right? The entities, the relationships. So if you say graph, graph, You know, databases or graph rag is going to kill vector rag and all that discussion. I think the first issue is to actually buil…”
Jo Kristian Bergum Apr 19, 2025 ▶ 22:19 The Rise and Fall of the Vector DB category: Jo Kristian Bergum (ex-Chief Scientist, Vespa)
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