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must say I am suspicious in this regard, as they don't show applications other than a Sudoku solver and don't discuss downsides.
by buster 1y ago
must say I am suspicious in this regard, as they don't show applications other than a Sudoku solver and don't discuss downsides.
- Oras 1y agoand the training was only on Sudoku. Which means they need to train a small model for every problem that currently exists. Back to ML models?
- lispitillo 1y agoNot only on Sudoku, there is also maze solving and ARC-AGI.
- JBits 1y agoI would assuming that training a LLM would be unfeasible for a small research lab, so isn't tackling small problems like this unavoidable? Given that current LLMs have clear limitations, I can't think of anything better than developing beter architectures on small test cases, then a company can try scaling it later.