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Recent AI model progress feels mostly like bullshit

(www.lesswrong.com)
579 points paulpauper | 1 comments | 06 Apr 25 18:01 UTC | HN request time: 0.203s | source
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einrealist ◴[06 Apr 25 19:52 UTC] No.43604399[source]▶
LeCun criticized LLM technology recently in a presentation: https://www.youtube.com/watch?v=ETZfkkv6V7Y

The accuracy problem won't just go away. Increasing accuracy is only getting more expensive. This sets the limits for useful applications. And casual users might not even care and use LLMs anyway, without reasonable result verification. I fear a future where overall quality is reduced. Not sure how many people / companies would accept that. And AI companies are getting too big to fail. Apparently, the US administration does not seem to care when they use LLMs to define tariff policy....

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pclmulqdq ◴[06 Apr 25 20:04 UTC] No.43604508[source]▶
I don't know why anyone is surprised that a statistical model isn't getting 100% accuracy. The fact that statistical models of text are good enough to do anything should be shocking.
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1. einrealist ◴[06 Apr 25 20:45 UTC] No.43604828[source]▶
That "good enough" is the problem. It requires context. And AI companies are selling us that "good enough" with questionable proof. And they are selling grandiose visions to investors, but move the goal post again and again.

A lot of companies made Copilot available to their workforce. I doubt that the majority of users understand what a statistical model means. The casual, technically inexperienced user just assumes that a computer answer is always right.