| ▲ | simonw 2 days ago |
| The GitHub repo with the Lean formalizations just came out a couple of hours ago: https://github.com/openai/ten-proofs It also links to a paper written by an LLM where the model "reconstructs how the proof came together" based on the unpublished reasoning traces: https://cdn.openai.com/pdf/reasoning-walkthroughs.pdf I wish they'd publish the prompts though! |
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| ▲ | derbOac 2 hours ago | parent | next [-] |
| I like the Lean formalizations — I hadn't thought seriously of asking for that before but might try it with some stuff I've been working on. |
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| ▲ | fooker 2 days ago | parent | prev | next [-] |
| Exact prompts haven't mattered for about a year now. |
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| ▲ | Alifatisk a day ago | parent [-] | | Care to elaborate? Curious about this. Is this because LLMs have been geared towards understanding user user intent behind a prompt rather than following the instructions exactly? | | |
| ▲ | fooker a day ago | parent [-] | | There's a full fledged 'reasoning' step that basically expands your prompt. As long as you are not missing important information, how you word the prompt does not have any effect. | | |
| ▲ | s4i an hour ago | parent | next [-] | | Isn’t that a huge simplification? Of course the way you phrase the prompt can carry semantic meaning, maybe subtly, but still. And sometimes that matters a little and sometimes a lot. I’ve stopped numerous agent sessions over the last few weeks to reword my initial prompt to get the agent off an unintended track. | |
| ▲ | Alifatisk 5 hours ago | parent | prev [-] | | Oh yeah, I suspected it was something like this. Thanks! |
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| ▲ | hacklewoodple 3 minutes ago | parent | prev [-] |
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