There are many things that can have some decent level of automatic verification and those were some of the first for LLMs to excel at, like math and programming. Now, physics involves math, but verification would still often require some form of measurement to make sure that the math relates to the real world meaningfully.
Many extended kinds of verification can be done by LLMs, but they need to be able to follow instructions reliably and agentic task orchestration may be critical to that verification process.
There is no doubt they will surpass us as there is a lot of easy to reason about information that they can verify as incrementally proven by other knowledge. The trick is knowing what can be proven with existing knowledge and what needs human evaluation.
LLMs are certainly more knowledgable, but maybe not more intelligent, arguably. It's possible we're approacing a ceiling indeed.
Model capability might be on an asymptote appraching but never quite reaching parity with human intelligence.