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In system theory, it is called "linearization"... which has been studied and used for decades. Honestly, folks, there is no need to invent or introduce any new terminology. Remember, there is rarely anything new under the sun...

Here's the longer version of our Nature piece. Our argument is simple: statistical approximation is not the same thing as intelligence. Strong benchmark scores often say very little about how LLMs behave under novelty, uncertainty, or shifting goals. Even more importantly, similar behaviors can arise from fundamentally different processes. In another paper, we identified seven epistemological fault lines between humans and LLMs. For example, LLMs have no internal representation of what is true. They often generate confident contradictions, especially in longer interactions, because they do not track what is actually true. Another example. Yes, LLMs have solved some open mathematical problems, but these cases typically involve applying known methods to well-defined problems. LLMs cannot invent anything that is truly new and true at the same time, because they lack the epistemic machinery to determine what is true. None of this means LLMs are useless. Quite the opposite: they are extraordinarily useful. But we should be careful about what they are and what they are not. Producing plausible text is not the same as understanding. Statistical prediction is not the same as intelligence. So despite the hype from the usual suspects, AGI has not been achieved. * paper in the first reply Joint with @Walter4C and @GaryMarcus


Google's ex-CEO Eric Schmidt talks about how his whole early life was basically coding, and how AI just wiped it out. He says in his 20s all he wanted to do was write programs, all the way through college and grad school, and that this is what built his career. But now, every single thing he learned back then can be done by AI. "Each and every one of you has a supercomputer and superprogrammer in your pocket." --- From 'Institute of Politics Harvard Kennedy School' YT channel
















[#CVPR2026 Workshop] Excited to announce that our workshop "Visual General Intelligence (VGI): Vision Research Toward the AGI Era" has been accepted at CVPR 2026! Please also check out the website & blog post! Website: cvpr2026-vgi-workshop.limitlab.xyz Blog post: hirokatsukataoka.medium.com/vision-researc…









