Simon Eskildsen, founder of vector search engine Turbopuffer, argues on Latent Space against speculative AI forecasting, preferring empirical customer case studies.
“I don't like just doing like thought pieces on this is where it's going and like trying to be all macroeconomic about AI. That's as turned out to be a giant waste of time because no one can really predict any of this. So I just, Collect case studies.”
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More from Simon Eskildsen
Insight
Eskildsen: Model weights compress reasoning, not all world knowledge
“We can take all of the world's knowledge, all of the exabytes and exabytes of data that there is, and we can use those tokens to train a model, but we can't compress all of that into a few terabytes of weights, right? We can compress into a few terabytes of we…”
Simon EskildsenMar 12, 2026▶ 2:49Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
Insight
Eskildsen: Object-storage-first databases trade 200ms write latency for pure upside
“The only real downside to that is that if you go all in on object storage, every write will take a couple hundred milliseconds of latency, but from there, it's really all upside, right? You do the first query, it takes half a second”
Simon EskildsenMar 12, 2026▶ 13:09Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
AssertionSupported
Eskildsen: Neon retrofitted Postgres for S3, while Turbopuffer built pure object-storage consensus
“I think neon neon was first to, and they're trying to retrofit it onto Postgres. And then they built this whole architecture where you have it in memory, and then you sort of like, you know, mmap back to S-III, and I think that was very novel at the time to do…”
Simon EskildsenMar 12, 2026▶ 16:38Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
Disclosure
Eskildsen: Offered to return capital if Turbopuffer lacked PMF by year-end
“I don't think I've said this publicly before, but I just called Locky and was like, well, Locky, like, if this doesn't have PMF by the end of the year, like, we'll just like return all the money to you. But it's just like, I don't really, Justine and I don't w…”
Simon EskildsenMar 12, 2026▶ 39:06Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
AssertionOpen · timeframe Mar 2027
Eskildsen: Turbopuffer outperforms Lucene on long LLM search queries
“Turbo Puffer today has a fairly start of the state of the art full text search engine.
We beat Lucene on some queries, in particular, very long queries that we've optimized for, because those are the text search queries we see today.”
Simon EskildsenMar 12, 2026▶ 51:26Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
Opinion
Eskildsen: Elasticsearch Was the Most Difficult and Aggravating Database at Shopify
“The database that was the most difficult for me to scale during that time, and that was the most aggravating to be on call for, was Elasticsearch. It was very, very difficult to deal with, and I saw a lot of projects that were just being held back in their amb…”
Simon EskildsenMar 12, 2026▶ 7:51Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
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