Grok 3: Another win for the bitter lesson

Many people doubt the actual performance of Grok 3 and suspect it has been specifically trained on the benchmarks. And Sabine Hossenfelder says this:

> Asked Grok 3 to explain Bell's theorem. It gets it wrong just like all other LLMs I have asked because it just repeats confused stuff that has been written elsewhere rather than looking at the actual theorem.

https://x.com/skdh/status/1892432032644354192

Which shows that "massive scaling", even enormous, gigantic scaling, doesn't improve intelligence one bit; it improves scope, maybe, or flexibility, or coverage, or something, but not "intelligence".

She really needs to stop commenting on topics outside of theoretical physics.

Even in physics she does not represent the scientific consensus but has some very questionable fringe beliefs like labeling whole sub-fields as "scams to get funding".

She regularly speaks with "scientific authority" about topics she barely knows anything about.

Her video on autism is considered super harmful and misleading by actual autistic people. She also thinks she is an expert on trans-issues and climate change. And I doubt she know enough about artificial intelligence and computer science to comment on LLMs.

She doesn't say she is an expert on trans-issues at all! She analyzed the studies and looked at data and stated that there is no real transpendemic but highlighed an statistical increased numbers in young woman without stating a clear opinion on this finding.

The climate change videos do the same thing. She evaluates these studies discusses them to clarify that for her, certain numbers are unspecific and she also is not coming to a clear conclusion in sense of climate change yes, no, bad, good.

She is for sure not an expert in all fields, but her way of discussing these topics are based on studies, numbers and is a good viewpoint.

The funding scam you mention is a reference of "these people get billions for particle research but the outcome for us as society is way to small"