Nice read. I believe that traditional software is a great way to showcase the proofs when it comes to physics and mathematics. You can easily code up a theorem in a language of your choice and justify that 'Okay, the output matches the expected value'.
I am particularly fascinated by labs like DeepMind [<a href="https://deepmind.google/science/" rel="nofollow">https://deepmind.google/science/]. The recent advances in their frontier models that are able to predict diseases before they're diagnosed is incredible. This is what AI should be built for and actually do!
Thanks! I appreciate that. Your point about DeepMind and frontier models is spot on. When they "embody"/build on the science done before them we get absolutely mindblowing synergies. But I wonder what happens when the LLMs become way smarter that us: why even loop us in? I guess that's related to the recent field medalist letter <a href="https://mathandai.org/" rel="nofollow">https://mathandai.org/
samayashar · · focus · HN ↗
I am particularly fascinated by labs like DeepMind [<a href="https://deepmind.google/science/" rel="nofollow">https://deepmind.google/science/]. The recent advances in their frontier models that are able to predict diseases before they're diagnosed is incredible. This is what AI should be built for and actually do!
jegp · · focus · HN ↗