Define "fundamental", but I added skills to run complicated evaluation procedures for my ML research. This way I can open 5 CC instances, let them run and iterate on research without intervention. After that, I can do…
Hey author here. Your argument is completely valid, we only model physics implicitly and thus have no prove that the model "actually knows the physics". Practically, this might not matter much: If the model can predict…
I haven't seen electromagnetic systems included yet, probably since they are less training data for it. In your chase, with such specific systems, a model trained only on your data might make more sense, though
The Polymathic AI company does a lot of stuff in that direction.
Can you point me to the papers? In general, faster dynamics and chaotic systems are probably the hardest. Of course combined with long-term stability
Very interesting paper! We did not run this model ourselves. From what I've understood, the results are in the same order of magnitude, but the model is 4x the size. And (similar to all other predecessors), they…
I think you mean this: https://genesis-embodied-ai.github.io/ It seems that this is much more focused on robotics, but interesting nonetheless.
Author here: we do NOT do conservation of energy/momentum. We are currently trying to incorporate that in a follow up paper, but for now, the models that try that (e.g. PINNs (soft constraint) or hard constraint models,…
Author here, Wow, I didn't think this would HN. I actually planned to do the advertisement rounds only after the final ICLR submission. This is our attempt at creating a model which understands multiple physics, which…
I think it is the general attractiveness of para social relationships (https://en.m.wikipedia.org/wiki/Parasocial_interaction). People look for personal, intimate interactions. OF creates (the illusion of) such…
Define "fundamental", but I added skills to run complicated evaluation procedures for my ML research. This way I can open 5 CC instances, let them run and iterate on research without intervention. After that, I can do…
Hey author here. Your argument is completely valid, we only model physics implicitly and thus have no prove that the model "actually knows the physics". Practically, this might not matter much: If the model can predict…
I haven't seen electromagnetic systems included yet, probably since they are less training data for it. In your chase, with such specific systems, a model trained only on your data might make more sense, though
The Polymathic AI company does a lot of stuff in that direction.
Can you point me to the papers? In general, faster dynamics and chaotic systems are probably the hardest. Of course combined with long-term stability
Very interesting paper! We did not run this model ourselves. From what I've understood, the results are in the same order of magnitude, but the model is 4x the size. And (similar to all other predecessors), they…
I think you mean this: https://genesis-embodied-ai.github.io/ It seems that this is much more focused on robotics, but interesting nonetheless.
Author here: we do NOT do conservation of energy/momentum. We are currently trying to incorporate that in a follow up paper, but for now, the models that try that (e.g. PINNs (soft constraint) or hard constraint models,…
Author here: we do NOT do conservation of energy/momentum. We are currently trying to incorporate that in a follow up paper, but for now, the models that try that (e.g. PINNs (soft constraint) or hard constraint models,…
Author here, Wow, I didn't think this would HN. I actually planned to do the advertisement rounds only after the final ICLR submission. This is our attempt at creating a model which understands multiple physics, which…
I think it is the general attractiveness of para social relationships (https://en.m.wikipedia.org/wiki/Parasocial_interaction). People look for personal, intimate interactions. OF creates (the illusion of) such…