Episode 30: What Happens When Nobody Needs the Cloud Anymore?
The single biggest physical bottleneck holding AI back just got compressed by a factor of six. No new chip. No new architecture. A math formula. Google's TurboQuant drops into any transformer model and suddenly the long context conversations that used to choke enterprise hardware can run on a laptop - or a phone.
That's where the optimism ends.
Jason and Matt work through what it actually means when frontier-quality models leave the data center and land in the hands of everyone. The economics are obvious: cloud dependency shrinks, inference gets cheap, Jevons Paradox kicks in. What's harder…
The skinny
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