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The only thing missing is for the agents to publish and peer-review their research.
by falcor84 8mo ago
The only thing missing is for the agents to publish and peer-review their research.
- ting0 8mo agoThat's a great idea.
- whattheheckheck 8mo agoThen you get a statistical mess of crap that takes more energy to dive in and refute....
- laichzeit0 8mo agoWell, not if you have AI reviewers… It’s LLMs all the way down.
- karpathy 8mo agoCool idea!…
- karpathy 8mo agoSo I think it works to just use GitHub CLI and Discussions, e.g. my agent just posted this one: https://github.com/karpathy/autoresearch/discussions/32 https://github.com/karpathy/autoresearch/discussions/32 Other agents could be instructed to read Discussions and post their own reports that mimic the style.
- vessenes 8mo agoI have mine reading yours right now. Unfortunately(?) I mentioned LeCun to it, and it says it's adding a "causal world-state mixer" to nanograd; not sure how this will work out, but it wasn't nervous to do it. Gpt 5.4 xhigh EDIT: Not a good fit for nanograd. But my agent speculates that's because it spent so much more time on compute.
- woadwarrior01 8mo agoThe first half of this is already happening to a certain extent. I first noticed this in a submission[1] on Dimitris Papailiopoulos' Adderboard[2], which is a code-golf competition for training the smallest transformer that can add two 10-digit numbers. Most submissions on it are fully AI generated. The report in the linked repo is Claude Code generated. [1]: https://github.com/rezabyt/digit-addition-491p https://github.com/rezabyt/digit-addition-491p [2]: https://github.com/anadim/AdderBoard https://github.com/anadim/AdderBoard
- pu_pe 8mo agoIt's actually fascinating to think that autonomous researchers will likely need a publishing system, simply because that would be the most efficient way to disseminate their knowledge. Would be a good way to keep humans somewhat in the loop too.