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GitHub Copilot and similar tools make good developers more productive. This alone is a genuine use case with some associated value. Is it enough to justify the valuations of OpenAI etc? Probably not by itself. But I expect other industries have similar productivity boosts where people learn to use the tools appropriately.

What’s the total business opportunity of making all knowledge workers 10% more productive (to pick a more modest goal than outright replacement)?

Asking Claude this morning. Seems pretty reasonable and contains the warning about accuracy.

> Michael P. Taylor reassigned Brachiosaurus brancai to the new genus Giraffatitan in 2009. The species became Giraffatitan brancai based on significant anatomical differences from the type species Brachiosaurus altithorax.

> Given that this is quite specific paleontological taxonomy information, I should note that while I aim to be accurate, I may hallucinate details for such specialized questions. You may want to verify this information independently.

Ok so more about what is persuasive than what can trick the LLM?

Interesting challenge! Is the motivation to discover effective prompt injection techniques?

I agree that a lot of human output is stochastic parrot-like. But now and again at least, some human or group of humans appear to come up with something truly original and brilliant. This is something I have yet to see from LLM-based AI, and my guess is it would take a different paradigm to create machines that think in this sense.