Patrick O'Shaughnessy
speaker
16,865 appearances
112 recordings
1 series
first heard Sep 2024
last heard 5d ago
Patrick O'Shaughnessy’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 46 in all, peaking in Jun 2026 with 5.
Appearances
If you enjoy these conversations and want to go deeper, check out Colossus, our quarterly publication with in-depth profiles of the people shaping business and investing.
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You can find Colossus along with all of our podcasts at colossus.com.
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My guest today is Neil Nova, the founder of SAIL Research.
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SAIL is building what Neil calls a token factory, an inference company designed for a specific kind of future, one where AI agents run in the background for hours or days at a time rather than answering a human in real time.
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In that world, latency matters less and cost matters much more.
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And Neil has built the entire company around driving the cost of a token as low as it can possibly go.
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What makes this conversation special is that it's one of the most detailed tours I've ever done through the full stack of intelligence, the software, the chips, the power, and how the three connect.
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Along the way, we cover the trade-off between speed and cost that lives inside of every GPU, his scavenger strategy for buying the chips and power no one else wants, his contrarian view on NVIDIA, and why the premium the Frontier Labs charge for being three to six months ahead may not last.
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Please enjoy my conversation with Neil Mova.
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I think it's important early in these conversations to just say the thing, literally what you're building and what it does today.
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So maybe just orient us there with a brief description, like literally what the system is that you're building and why it should exist.
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or weeks.
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So I should think about you as a peer company to others that serve different kinds of inference.
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You're serving one specific kind of inference, and your goal is to be the absolute cheapest provider and enabler of a certain kind of use of intelligence.
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work towards thinking.
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So if you think about the theme of the day being token costs, is token cost the right way to think about this?
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Is there some other way you'd put it?
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To start
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many tokens engineers can spend per month.
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Why is there an opportunity that you can tackle?
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Showing 841–860 of 16,865 · page 43 of 844
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