unusualmonkey

bulan laludiscuss

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

bulan laludiscuss

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 bulan yang laludiscuss

> 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 bulan yang laludiscuss

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

unusualmonkey

8 bulan yang laludiscuss

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

That should be sufficient rebuttal.

unusualmonkey

8 bulan yang laludiscuss

Humans are not deterministic.

Ironically AI models are iirc.

Come up with a real argument.

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