An LLM can discover a new solution in high dimensional geometry that hasn’t advanced in 20 years!? That goes way beyond glueing little bits of plagiarized training data together in a plausible way.
This suggest that there are hidden depths to LLMs’ capabilities if we can just figure out how to prompt and evaluate them correctly.
This significantly broke my expectations. Who knows what discovery could be hiding behind the next prompt and random seed.
An LLM can discover a new solution in high dimensional geometry that hasn’t advanced in 20 years!? That goes way beyond glueing little bits of plagiarized training data together in a plausible way.
This suggest that there are hidden depths to LLMs’ capabilities if we can just figure out how to prompt and evaluate them correctly.
This significantly broke my expectations. Who knows what discovery could be hiding behind the next prompt and random seed.