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[return to "The Illusion of Thinking: Strengths and limitations of reasoning models [pdf]"]
1. thomas+kb1[view] [source] 2025-06-07 07:42:55
>>amrrs+(OP)
All the environments the test (Tower of Hanoi, Checkers Jumping, River Crossing, Block World) could easily be solved perfectly by any of the LLMs if the authors had allowed it to write code.

I don't really see how this is different from "LLMs can't multiply 20 digit numbers"--which btw, most humans can't either. I tried it once (using pen and paper) and consistently made errors somewhere.

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2. Jensso+Fe1[view] [source] 2025-06-07 08:39:42
>>thomas+kb1
> I don't really see how this is different from "LLMs can't multiply 20 digit numbers"--which btw, most humans can't either. I tried it once (using pen and paper) and consistently made errors somewhere.

People made missiles and precise engineering like jet aircraft before we had computers, humans can do all of those things reliably just by spending more time thinking about it, inventing better strategies and using more paper.

Our brains weren't made to do such computations, but a general intelligence can solve the problem anyway by using what it has in a smart way.

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3. jdmore+Oj1[view] [source] 2025-06-07 10:07:05
>>Jensso+Fe1
No. a huge population of humans did while standing on the shoulders of giants.
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4. Jensso+wk1[view] [source] 2025-06-07 10:18:30
>>jdmore+Oj1
Humans aren't giants, they stood on the shoulder of other humans. So for AI to be equivalent they should stand on the shoulders of other AI models.
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5. jdmore+Il1[view] [source] 2025-06-07 10:38:46
>>Jensso+wk1
building for thousands of years with a population size in the range between millions and billions at any given time.
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6. Jensso+cv1[view] [source] 2025-06-07 12:55:52
>>jdmore+Il1
Right, and when we have AI that can do the same with millions/billions of computers then we can replace humans.

But as long as AI cannot do that they cannot replace humans, and we are very far from that. Currently AI cannot even replace individual humans in most white collar jobs, and replacing entire team is way harder than replacing an individual, and then even harder is replacing workers in an entire field meaning the AI has to make research and advances on its own etc.

So like, we are still very far from AI completely being able to replace human thinking and thus be called AGI.

Or in other words, AI has to replace those giants to be able to replace humanity, since those giants are humans.

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