China Catches Up
Has the US been focused on the wrong things?

TL;DR
- The "no moat => more competitors => price wars => profits are scarce" argument is playing out in the U.S. AI industry.
- Trillion-dollar IPOs for companies like Anthropic and OpenAI are questionable due to industry-wide price sensitivity in token budgets.
- Massive data center investments may not pay off as price wars drive token prices down.
- The current AI paradigm is flawed: it's inefficient, requires vast resources to train and run, is unreliable, and easily replicated.
- The combination of high operating costs, unreliability, and small margins is not a sustainable business model.
- The preoccupation with "winning" the AI race with China could lead to catastrophes.
- The U.S. should consider focusing on cultivating new forms of AI for science and medicine instead of competing on LLM prices.