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Notes -
As somone who works in the industry, I remain skeptical. While Grok is no doubt the best general purpose/hobby use LLM available to the public, Grok3 does not appear to be anything more than an incremental improvement over prior versions.
Contra the credulous VC types posting breathless headlines to hackernews and X, I put little stock in publicly available benchmarks as it is relatively trivial to "teach to the test". I can't say how xAi does thier internal testing but if they are remotely rigourous/competent, they are going to have a set of "presentations" for that have been segregated from the training data specifically for the purposes of evaluation/benchmarking, and these need to remain proprietary/secret specifically to prevent them from accidentally (or not so accidentally) making thier way into the training corpus.
Point of fact is that we are well into the realm of diminishing returns when it comes to throwing more flops at LLMs and that true "machine intelligence" is a going to requre a substantially different architecture and approach, which is part of the reason computer scientists tend to be pedants about "machine learning" vs "intelligence" or "autonomy" while journalists and marketing guys continue throw the "AI" label around willy-nilly.
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