> But more than that, I think, it shows that there was no magic to AlphaFold. The details of the architecture and training method didn't matter much. All that was needed was training a big enough model on a large enough dataset.
People often like to say that we just need one more algorithmic breakthrough or two for AGI. But in reality it's the dataset and the environment based learning. Almost any model would do if you collected the data. It's not in the model, it's outside where we need to work on.
People often like to say that we just need one more algorithmic breakthrough or two for AGI. But in reality it's the dataset and the environment based learning. Almost any model would do if you collected the data. It's not in the model, it's outside where we need to work on.