@VraserX: With all the massive compute China has secured lately, why does it feel like they're still just distilling US models? Y…
Summary
A commenter questions why China, despite securing massive compute resources, appears to still rely on distilling US AI models rather than training foundational models from scratch, wondering what the actual bottleneck is.
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Cached at: 06/27/26, 11:55 AM
With all the massive compute China has secured lately, why does it feel like they’re still just distilling US models?
You’d think with those resources we’d see more foundational models trained entirely from scratch instead of highly optimized derivatives.
What’s the actual bottleneck holding them back?
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