| ▲ | srcreigh an hour ago | |||||||||||||
It's impossible for finite number of LLMs to solve all theorems. This would imply that the busy beaver sequence is computable which implies the halting problem is decidable. For any finite program (eg some LLMs), there is a true math theorem which they cannot prove or disprove (given fixed input of the statement with no other information sources). If that weren’t true, BB would be computable. Math is beyond computation. Since AI is just bits in bits out, it has this fundamental limitation. Any magic of AI systems comes from the transformed meaning of its input data. With fixed weights any LLM is just an artifact. For example a human prompting an LLM constitutes an extra information source, which removes the above limitations. In theory any input from the natural world would remove the limitations too. The natural world is a black box and we don't know what kind of meaning or intelligence could underly it. | ||||||||||||||
| ▲ | Timpanzee 23 minutes ago | parent | next [-] | |||||||||||||
Even if the busy beaver sequence were computable and the halting problem were decidable, Gödel's incompleteness theorems would still prevent all theorems from being solved, regardless of if one used LLMs or not. | ||||||||||||||
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| ▲ | ogogmad 3 minutes ago | parent | prev [-] | |||||||||||||
The problem with what you're saying is that a random true proposition about the integers is not necessarily interesting enough to be called a theorem. GIT does not provide limitations on proving theorems - but about limitations on determining whether a proposition is true or not. Most propositions are ugly and boring. GIT is irrelevant. | ||||||||||||||