The U.S.’s Artificial Intelligence (AI) self-feeding frenzy is still … frenzy-ing.

Except everything about it seems fake.

The U.S.’s Large Language Model (LLM) version of AI seems to be (at least) years away from the promises being made to feed the frenzy. (RELATED: This Isn’t Free Market Capitalism. It’s Diet Fascism)

Which can be seen as a partially good thing — since no one has any idea what to do with the hundreds of millions of humans they tell us U.S. AI will un-employ.

It also looks like China’s Open Source AI is kicking the U.S. version’s keister. It’s at least getting to even on effectiveness. And China AI is up-to-85% cheaper than U.S. AI.

China AI is open. Which means you can much more easily change and evolve it to meet your ongoing needs. It’s a much more symbiotic relationship between AI and your business.

U.S. AI’s LLM is a closed system. Your business must contort itself to the U.S. AI you choose.

We thus end up slaves to their system. Your business has, de facto, become a subsidiary of your U.S. AI.

And then there’s the prospective U.S. AI investment bubble.

Big Tech has committed to spending an additional $2.4 trillion in the coming years. That’s after spending $286 billion in 2025 (compared to China’s $12.4 billion). And an estimated $700-$900 billion this year (compared to China’s estimated $125 billion).

So that’s one area in which U.S. AI is definitely defeating China AI — spending money. But do these massive dollars spent make any actual sense? It doesn’t seem so.

And are these astronomical U.S. AI dollar amounts even real? It doesn’t seem so:

“Welcome to the AI money-go-round, where tech titans…are locked........

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