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This assumes everything about current capabilities stay static, and it wasn't long ago before LLMs couldn't do math. Many were predicting the genAI hype had pea
by madrox 8mo ago
This assumes everything about current capabilities stay static, and it wasn't long ago before LLMs couldn't do math. Many were predicting the genAI hype had peaked this time last year.
If you want it to be a question of economics, I think the answer is in whether this approach is more economical than the alternative, which is having people run this substrate. There's a lot of enthusiasm here and you can't deny there has been progress.
I wouldn't be so quick to doubt. It costs nothing to be optimistic.
- candiddevmike 8mo ago> and it wasn't long ago before LLMs couldn't do math They still can't do math.
- Hammershaft 8mo agoPro models won gold at the international math olympiads?
- bandrami 8mo agoThey have trouble adding two numbers accurately though
- evrimoztamur 8mo agoWhy are they expected to?
- otabdeveloper4 8mo ago[*] According to cloud LLM provider benchmarks.