4 ms·
I agree that the potential impact of ML on the theoretical side is very exciting. I think there’s a lot of bridging to be done between the most advanced mathema
by md2020 6y ago
I agree that the potential impact of ML on the theoretical side is very exciting. I think there’s a lot of bridging to be done between the most advanced mathematics and the most advanced physics that could lead to new insight, but it’s a hard problem for humans to tackle since we have very few people who are deeply proficient in both—although it is becoming more common. I’m thinking something like GPT-3 trained on literature in both fields could be the kind of thing we want, but like you I still doubt that a DL system is likely to come up with any real insight. I’d like to be proven wrong, though.
- spyder 6y agoGPT-3 is already not too bad with basic physics: https://www.lesswrong.com/posts/L5JSMZQvkBAx9MD5A/is-gpt-3-capable-of-reasoning https://www.lesswrong.com/posts/L5JSMZQvkBAx9MD5A/is-gpt-3-c... And this is without training on the specific task. It's getting scary...