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Comment by kace91

7 hours ago

Bubble aside, it feels AI is by nature a less democratic tech.

The need for stupid amounts of data and hardware make it less likely that a really talented person can outcompete companies from their basement. That probably influences culture.

True, but I think there's kitchen table opportunity in applications that don't need to do a big training, and that have tractable inferencing requirements.

The challenges I see are: (1) there's a lot of competition in the gold rush; (2) there's a lot of noise of AI slop implementations, including by anyone who sees your demo.

  • You also can fine tuned LLMs. For that, you don't need big money. You also can pick up a fine tuned LLM and go from there and make it better ( for your use case)