this post was submitted on 09 Jun 2025
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(page 4) 34 comments
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[–] muntedcrocodile@lemm.ee 4 points 1 week ago* (last edited 1 week ago) (1 children)

This isn't the strength of gpt-o4 the model has been optimised for tool use as an agent. That's why its so good at image gen relative to other models it uses tools to construct an image piece by piece similar to a human. Also probably poor system prompting. A LLM is not a universal thinking machine its a a universal process machine. An LLM understands the process and uses tools to accomplish the process hence its strengths in writing code (especially as an agent).

Its similar to how a monkey is infinitely better at remembering a sequence of numbers than a human ever could but is totally incapable of even comprehending writing down numbers.

[–] cheese_greater@lemmy.world 3 points 1 week ago (2 children)

Do you have a source for that re:monkeys memorizing numerical sequences? What do you mean by that?

[–] shalafi@lemmy.world 3 points 1 week ago

That threw me as well.

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[–] NotMyOldRedditName@lemmy.world 4 points 1 week ago (2 children)

Okay, but could ChatGPT be used to vibe code a chess program that beats the Atari 2600?

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[–] IsaamoonKHGDT_6143@lemmy.zip 0 points 1 week ago (1 children)

They used ChatGPT 4o, instead of using o1 or o3.

Obviously it was going to fail.

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