[idontknowtech]

Today's generative LLM model fundamentally cannot generate new breakthroughs like that. The tech simply doesn't allow it, for one simple reason: LLMs not only don't consider, but are fundamentally incapable of considering, the science of their output before creating said output. They only consider the likelihood that each word they generate should follow the previous based on a trillion inputs.

We might as well use a random chemical element generator, plug that into our models, and save a ton of money on compute instead.

At best Gen AI can be used to create inputs for massive N genetic simulation problems. Most of its suggestions will be bad, but maybe another program can filter the good ones out.