Chinese AI labs rn:
How much are you actually innovating vs just distilling existing models?
This is the real question nobody wants to answer. Everyone's flexing "breakthroughs" but half the space is just repackaging OpenAI/Anthropic architecture with better compute efficiency.
The distillation game is strong - cheaper inference, faster deployment, localized datasets. But where's the frontier research?
If you're building in AI/crypto intersection, you need to know which labs are pushing boundaries vs which ones are optimizing existing tech. The alpha is in backing true innovation, not derivative plays.
Who's actually moving the needle? đ
How much are you actually innovating vs just distilling existing models?
This is the real question nobody wants to answer. Everyone's flexing "breakthroughs" but half the space is just repackaging OpenAI/Anthropic architecture with better compute efficiency.
The distillation game is strong - cheaper inference, faster deployment, localized datasets. But where's the frontier research?
If you're building in AI/crypto intersection, you need to know which labs are pushing boundaries vs which ones are optimizing existing tech. The alpha is in backing true innovation, not derivative plays.
Who's actually moving the needle? đ