Accuracy

topic on 4 shows · 4 statements across 4 episodes

Lenny's Podcast the Neon Show No Priors the MAD Podcast

4 statements about Accuracy, every show

NEON SHOW Insight
Ambati: Enterprise AI deals are won on trust, not model accuracy
“I would say enterprises don't optimize for accuracy of a model, right? So they're more so optimizing for reliability and trust. So it's very it's very, I think, in today's age with this new, ah, level of capability that the models have, getting the accuracy ri…”
Vamshi Ambati Jun 9, 2026 ▶ 6:32 94% CAGR: What the Inference Boom means for your AI costs | Vamshi Ambati
NO PRIORS Insight
Liberty: RAG Levels the Playing Field Across Different Foundation Models
“Interestingly enough, many of them actually start behaving quite similarly in terms of level of accuracy, even though without RAG, they actually have quite different behaviors. So it's sort of both like a uniform improvement and a little bit of leveling the pl…”
Edo Liberty Feb 22, 2024 ▶ 5:27 No Priors Ep. 52 | With Pinecone CEO Edo Liberty
Teams should only invest in planning accuracy where precision delivers high value
“Because accuracy has cost, make sure that you're only increasing the accuracy of planning for the things that have high value of that accuracy.”
Geoff Charles Aug 6, 2023 ▶ 33:48 Velocity over everything: How Ramp became the fastest-growing SaaS startup ever | Geoff Charles
MAD Assertion Partly supported
Bordes: Visual QA models saturate around 60% accuracy versus 95% for humans
“Basically many methods actually saturated at like, I don't know, 55 or 60% accuracy. Ah, the simpler or the most complicated were actually in the same ballpark. Whereas human can actually go up to 95”
Antoine Bordes Nov 9, 2016 ▶ 27:25 Artificial Intelligence at Facebook // Antoine Bordes, Facebook [FirstMark's Data Driven]

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