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SubiculumCodetoday at 7:47 AM5 repliesview on HN

The compute deficit of Chinese Ai companies is real, and it IS THE ONLY competitive advantage that Western companies have.

The only way the U.S. keeps that edge is to prevent distillation. The only way Chinese companies can make up for the deficit in compute is to distill. There innovation in great supply on every side of the Ocean. Its about the chips. And in terms of national security, for the U.S., and for China, its about the chips and the distillation that undermines that advantage. This is an arms race.


Replies

HarHarVeryFunnytoday at 12:50 PM

If compute or access to training data were the only issues, then companies like Meta and X.ai (Grok) should be doing better, even Google for that matter. Musk even admitted that Grok used training data from OpenAI models.

https://techcrunch.com/2026/04/30/elon-musk-testifies-that-x...

While there is no moat as such, there is still a lot of expertise that goes into training SOTA models. There's a reason Google was willing to pay $2.7B just to get Noam Shazeer back to improve Gemini.

gmerctoday at 11:11 AM

You got that wrong. The forcing function of compute scarcity is an advantage not a detriment. The amount of investment pulverized in performative model training and dead ends (Hi Sora) should make this obvious.

pennomitoday at 9:46 AM

If saying “plz don’t distill me” is your moat, you don’t have a moat.

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davedxtoday at 9:46 AM

Define compute deficit?

They've been bringing out open weight models competitive with frontier models. How could they do that if they had a compute deficit?

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PunchyHamstertoday at 8:02 AM

> The only way the U.S. keeps that edge is to prevent distillation.

For how long ? year ? how long till model that is year behind will be fine for 90%+ use cases ?

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