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@ns123abc

Andrej Karpathy thinks the best analogy to LLMs is operating systems > closed-source providers; OpenAI, xAI etc are like Windows vs. macOS > meanwhile Meta’s open-source Llama ecosystem is becoming like Linux Very BASED and very TRUE! https://t.co/E3NXC5uniw

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                                  "text": "It is not very based. Large language models are not your typical software either. They’re not operating system, not even in analogous ways as he claims. \n\nThey’re more of synthetic cognition minds than anything else. Their coding skills is of many other things they can do.  LLMs are the only and first AI systems that passed classic Turing test. No one seemed to care how significant this is. \n\nThree years ago it was all about image recognition, classification, contact center ai or similar narrow systems that we designed… nothing that you can chat with. \n\nThey are not evolving into your next coding helpers or hardware orchestrator.\n\nThey are here not to augment people. They’re here to replace them at a cognitive level never seen before.\n\nAny approach to these systems from a purely classic computer science perspective is massively misleading. \n\nYou have to take into account computational cognitive science and neuroscience to see where they’re going and what they’re becoming.",
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