P=NP is more than likely a physical problem with our current computational architectures more than anything else. I would imagine cracking that would require ne

P=NP is more than likely a physical problem with our current computational architectures more than anything else. I would imagine cracking that would require new physics, and for that, the infrastructure these things run on is likely far more important than the LLMs themselves. Leveraging parallelism on a massive scale will be incredible for scientific computing, but I doubt LLMs, with their unverifiable bullshit, will play a big role beyond any computational patterns their architecture contributes to the field. If I want to learn more about history, I'll stick to peer reviewed sources like Wikipedia or academic literature. Gpt-4 will remain a curiosity until there are mechanisms to verify its output.