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Comment Re: Screens don't teach. (Score 1) 71

It doesn't work that way for everyone. Personally, I found that trying to write down everything fast enough took so much of my focus that I didn't have any left to THINK ABOUT what was being said. I did much better without note taking, in classes where that was possible. There were a few where that would not work.

Comment Re: What I don't like about Dawkins (Score 1) 384

For me the issue isn't determinism but persistence. No matter what the computer is doing, it cannot be said to be conscious when its experience keeps getting reset every few minutes. It would be like dying st the end of every conversation and being reborn for the next one. So what about long-lived agents? Well, they tend to go off the rails eventually if you don't keep resetting their context. Is that just a curiosity or does it point to some deeper truth? Who knows.

Comment Re: Just means none of the experts cared enough (Score 1) 93

Reasoning models just mean the weights get converted back into natural language at intermediate steps. The training can then reward "good" reasoning paths and the prompts can focus on narrower increments of the problem. They can also use tools to error check and course correct and whatnot. It's a strategy. It works well. Is it reasoning in the human sense? Hard to say. It does look similar because it's trained to.

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Thus spake the master programmer: "When a program is being tested, it is too late to make design changes." -- Geoffrey James, "The Tao of Programming"

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