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by 27183
17 days ago
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I think we must be talking past eachother. I define stochastic search as a search process with randomness injected into it that can return the following things: - Something contained in the data set, not necessarily the same thing for every iteration of a given query - Something not contained the data set (hallucination), not necessarily the same thing for every iteration of a given query Does that clear it up? > What's the distinguishing criteria then? How can you tell the difference? All the ways they fail to exhibit intelligence. They can't learn. They can't adapt. They can't reason abstractly. They can't count. Etc... |
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I find the rebuttals pretty convincing - that there seems to be some emergent behaviour that is not simply just next-token-prediction, or that the ability to do accurate next-token-prediction requires something "extra" that LLMs have.
> All the ways they fail to exhibit intelligence
Another implicit admission that there _are_ ways that LLMs exhibit intelligence?