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|    alt.cyberpunk.tech    |    Cyberpunks LOVE making shit complicated    |    1,115 messages    |
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|    Message 713 of 1,115    |
|    an0n to thule    |
|    Re: Giving AGI developers at target to h    |
|    28 Oct 25 07:08:12    |
      From: n0t@valid.email              On 10/28/25 2:56 AM, thule wrote:       > i'm not one of those ai-hating redditors; i host a few small models on       > my home network and use them regularly. i'm unqualified but i have read       > a few computational neuroscience textbooks and i'm convinced llms cannot       > become agi. a fundamental limitation is their lack of world models, and       > some models now work around this with chain of thought, but it's not a       > true solution. while general intelligence is defined as whatever humans       > can do, i doubt there's such thing as truly "general" - i.e. opposite of       > narrow - intelligence; indeed, the brain is a collection of specialised       > regions bootstrapped together, with the cortex and its canonical circuit       > being the only sort of general-purpose structure i'm aware of.              My guess is that OpenAI and others will be trying to create something       that works in a very similar way to the human brain when replicating AGI       behavior.              A single monolithic LLM is unlikely to solve the problem of AGI, but a       network of LLMs, each attached to its own set of long-term memories and       working together—might get closer, especially with orders of magnitude       more compute. It's the arbitrator "function" that chooses the path (akin       to subconscious and conscious decision-making) that complicates things.              Not saying it's easy, or even that close, but I really don't think it's       as unattainable as it might seem. Think Kryten or Nexus 6; start with       rules based directives and evolve to a more general understanding of       reality through lived experience.              --- SoupGate-Win32 v1.05        * Origin: you cannot sedate... all the things you hate (1:229/2)    |
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