Chamath's warning goes viral: 'zero data retention' is no guarantee — run open models yourself
demian_ai · x · 2026-09-13
Trigger
On the All-In podcast, Chamath advised that sensitive workloads belong with a vendor you trust, naming Nebius as an example.
The argument
- Companies paste crown-jewel IP (protein designs, deal strategies) into shared chat APIs, but "zero data retention" usually means best efforts, not a hard guarantee.
- The real leak isn't names — it's solution patterns: a thumbs-up here, terms allowing training on "insights," or the next model version just "knowing" the shape of your private answer (the Navier-Stokes case).
The recommendation
Don't avoid AI; stop putting core work on shared frontier APIs. Use open-weight models on hardware you control, provisioned by vendors like Nebius, Fireworks, or AWS-class providers.
Boardroom angle
"We signed ZDR" looks thin next to "do we actually control where this runs" — and the CIO who took the easy API deal becomes the problem.
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