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> data and no meaningful dataset is 100% representative and 100% accurate IMHO

And? What point are you trying to make here?

People seem to think that LLMs are going to be this source of truth that everyone can rely on to give them the information they need. Which for certain use cases e.g. text based is fine because you can tolerate inaccuracies.

But I have worked at highly regulated finance companies who aren't interested in LLMs at all. Because their business can't tolerate if your model returns a figure or calculation that is inaccurate.

https://www.bloomberg.com/company/press/bloomberggpt-50-bill... lol

You are picking out a specific use-case as an invalidation of a wide idea and concept. “This is thos _one thing_ an LLM cannot do for us so all of it is useless.

I bet LLMs help them pitch their MBS CDOs to shadow banks, though.

Your point is still not clear

That it will be inaccurate. A lot.

This drug only helps 80% of patients, it’s useless.

This drug only killed 20% of patients. We should sell it.

Great analogy for LLMs, I think you understood my point perfectly.

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