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hellojimbo

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For different brains, the answer has to be no because the images you see are a "neural net" construction and if that neural net differs then the "image" you see is different

Your argument is even worse lol. Obviously he's proposing that you can take your doctors note to the pharmacy and get what the doctor prescribed in addition to being allowed to self purchase behind the counter drugs.

When writing banal code, you can just ask it to write unit tests for certain conditions and it'll do a pretty good job. The cutting edge tools will correctly automatically run and iterate on the unit tests when they dont pass. You can even ask the agent to setup TDD.

GPT-5.2 7 months ago

The no tools part is impressive, with tools every model gets 100%

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

Conventional "dev" wisdom says that LOC and PR count don't matter but I think its very easy to combine this data point with the nature of a dev's work to come up with a great heuristic on productivity.