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> So why aren't we separating the useful bit out?

It was trained as a chat-bot so that's all the current training can do. If you want to use it, you must hack something useful out of the chat bot interface.

It was trained as a chat bot because that was the impressive thing that got them investors. Useful applications need a lot more context to awe people, and context takes time and work to create.

So, now that they've got money, are those companies that created those LLM chat-bots making a useful next generation engines behind the scenes? Well, absolutely not! The same situation applies on every researching round, and they need to show impressive results right now to keep having money.

(And now I wonder... Why do VC investors exist again?)




I think that's a short term perspective.

> they need to show impressive results right now to keep having money

Sure. You do as little as possible to make as much money as possible. This is a fundamental of commerce/human existence. But, at some point, it will end with everyone's models performing similarly, with free models catching up. The concept of sustained "impressive results" will eventually require actual "reasoning systems". They'll use all that accumulated wealth, from what you maybe perceive as low hanging fruit, to tackle it. I think it must be assumed that these AI companies are intentionally working toward that, especially since it's the stated goal of many of them. I think you must assume that these people are smart, and they can see the reality of their own systems.




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