"And then with enough CapEx, our LLM will turn into AGI." "Wow, that's amazing!"
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Date: May 24th, 2026 9:42 PM
Author: .,.,.;;,;.,;:,:,,:,.,:,::,..;.,:,.:;.:.,;.:.,:.::,
that's not what the capex is for breh. u know that tho.
(http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899191) |
Date: May 24th, 2026 11:13 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
i'm not sure why anyone would currently be comfortable in believing that LLMs won't unlock all other cognitive capabilities. at the limit and with a sufficiently powerful function approximator, the next token training objective leads to a model developing all the verbal capabilities of humans. in order to predict text optimally, models need to develop increasingly sophisticated models of what people talk about and how. we have Mythos finding all sorts of new code vulnerabilities and GPT 5.5 is proving mathematical theorems that humans never solved. the METR time horizon graph is still bending upward on a linear scale and doubling every few months. models are increasingly capable of agentic autonomous AI research.
humans are just meat robots running connectionist learning algorithms. once you accept that fact, the increasingly general capabilities of modern AI from burning compute cycles is unsurprising and strongly implies near-term AGI. there's simply too much compute and data available, so even garbage learning algorithms with crude training objectives (next token training on trillions of random tokens) leads to increasingly powerful systems.
(http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899291) |
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