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The only real point is number 5.

> Huge vindication for what I have been saying all along: we need AI that integrates both neural networks and symbolic algorithms and representations

This is basically agents which is literally what everyone has been talking about for the past year lol.

> (Importantly, the point of the Apple paper goal was to see how LRM’s unaided explore a space of solutions via reasoning and backtracking, not see how well it could use preexisting code retrieved from the web.

This is a false dichotomy. The thing that apple tested was dumb and dl'ing code from the internet is also dumb. What would've been interesting is, given the problem, would a reasoning agent know how to solve the problem with access to a coding env.

> Do LLM’s conceptually understand Hanoi?

Yes and the paper didn't test for this. The paper basically tested the equivalent of, can a human do hanoi in their head.

I feel like what the author is advocating for is basically a neural net that can send instructions to an ALU/CPU, but I haven't seen anything promising that shows that its better than just giving an agent access to a terminal



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