unusualmonkey

w zeszłym miesiącudiscuss

I agree that there may be a lot of variation between models that leads to different use cases, at least today. But I’m not sure the car analogy works.

An X5 is not simply “inferior” to a CR-V, or vice versa. A Camry is not “inferior” to an F-150, or vice versa. They are optimized for different buyers, budgets, constraints, and use cases.

That may actually be the better analogy for AI models: there probably is not one universal “best” model. There are models that are better or worse for particular tasks, price points, latency requirements, deployment constraints, privacy needs, etc.

unusualmonkey

w zeszłym miesiącudiscuss

Sorry that's no realistic. People start businesses, including law firms, all the time with little to no capital.

Assuming token costs will be prohibitive assumes:

A) tokens will be really expensive and B) you need to fund tokens before you have revenue.

Your asserting AI makes the economy more capital intensive, when I think you'll see in practice it's the opposite.

unusualmonkey

7 miesięcy temudiscuss

> a brain can innovate, and as of this moment, an LLM cannot because it relies on previously available information.

Source needed RE brain.

Define innovate, in a way that a LLM can't and we definitively can prove a human can.

unusualmonkey

7 miesięcy temudiscuss

Just wait until after launch. You get a refined experience and often much lower prices.

unusualmonkey

8 miesięcy temudiscuss

I pointed out the claim is both irrelevant and factually wrong.

That should be sufficient rebuttal.

unusualmonkey

8 miesięcy temudiscuss

Humans are not deterministic.

Ironically AI models are iirc.

Come up with a real argument.

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