Warning the below comment comes from someone who has no formal science degree, and just enjoys reading articles on the topic.
Similar for physicists, I think there’s a very confusing/unconventional antenna called the “evolved antenna” which was used on a NASA spacecraft. The idea behind it was supported from genetic programming. The science or understanding “why” the way the antenna bends at different areas supporting increased gain is not well understood by us today.
This all boils down to empirical reasoning, which underlies the vast majority of science (or science adjacent fields like software engineering, social sciences etc).
The question I guess is; does LLMs, “AI”, ML give us better hypothesis or tests to run to support empirical evidence-based science breakthroughs? The answer is yes.
Will these be substantial, meaningful or create significant improvements on today’s approaches?
Similar for physicists, I think there’s a very confusing/unconventional antenna called the “evolved antenna” which was used on a NASA spacecraft. The idea behind it was supported from genetic programming. The science or understanding “why” the way the antenna bends at different areas supporting increased gain is not well understood by us today.
This all boils down to empirical reasoning, which underlies the vast majority of science (or science adjacent fields like software engineering, social sciences etc).
The question I guess is; does LLMs, “AI”, ML give us better hypothesis or tests to run to support empirical evidence-based science breakthroughs? The answer is yes.
Will these be substantial, meaningful or create significant improvements on today’s approaches?
I can’t wait to find out!