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"And then with enough CapEx, our LLM will turn into AGI." "Wow, that's amazing!"
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Date: May 24th, 2026 8:23 PM Author: Emotionally + Physically Abusive Ex-Husband (oppose bitchbois) Retards invested million$ in "alchemy tech" back in the 1800s too. (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899057) |
Date: May 24th, 2026 8:24 PM Author: GoyPuff (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899060) |
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Date: May 24th, 2026 8:27 PM Author: The Penis Yeah because noone got rich off of chemical manipulation tech in the 19th-20th centuries after Lavoisier killed phlogiston theory (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899064) |
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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) |
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Date: May 24th, 2026 10:44 PM Author: Emotionally + Physically Abusive Ex-Husband (oppose bitchbois) If "AGI" were anywhere on the horizon, they wouldn't be spending $1T to facilitate LLMs today.
It's all fucking flame, and LJL at anyone who doesn't get that by the midpoint of 2026. |
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Date: May 24th, 2026 11:06 PM Author: The Penis "AGI" is a bullshit underspecified folk term with multiple fuzzy definitions and constantly moving goalposts. What would make you consider current AI to be "AGI" considering that it recently solved a problem that one of the most intelligent humans who ever lived formulated, couldn't solve, and whose own intuition ended up being wrong about it? (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899286) |
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Date: May 24th, 2026 11:27 PM Author: .,.,.;;,;.,;:,:,,:,.,:,::,..;.,:,.:;.:.,;.:.,:.::, who exactly r u satirizing?
as penis says "agi" is a meaningless concept for nerds to jack off to in the anthropic bathroom
no one ever thought the capex was for anything other than code writing / drug discovery / 60 second animal cuck cartoons made by indians. that's far from flame and flame was never needed to sell people on the capex. |
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Date: May 24th, 2026 9:43 PM Author: icanseemyneurons alchemy was 1600s (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899193) |
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Date: May 24th, 2026 10:45 PM Author: tats STRchads cant stop winning (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899273) |
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Date: May 24th, 2026 10:48 PM Author: butlerian jihadist https://x.com/AskYoshik/status/2057859030081745275 (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899277) |
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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. |
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Date: May 24th, 2026 11:18 PM Author: The Penis Already is AGI unless you make some insane definition of "AGI" where it has to have fully autonomous agency. Recent Erdos paper says right in the AI section "problem was solved in a completely automated fashion", so we have an autonomous system solving problems that were formulated and were unable to be solved by one of the highest iq prodigies that ever lived, plus the system can code, has more knowledge than any human could learn across several lifetimes, can go beyond maxing human iq tests to the point where the numbers are meaningless. What more do you need for "general intelligence? (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899296) |
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Date: May 24th, 2026 11:29 PM Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,... i think the models are really quite general and good anymore at directed, in-distribution tasks. a SWE task (even a very long one) that needs to have certain widely understood characteristics is something modern models will crush. the mathematical achievements aren't fully general. it's easy with RL and synthetic thought traces to train models on tons of data and make them good at certain types of math problems, but it seems like they are trying to make everything in-distribution by training on every bit of data they can. i think the current approach will still leave noticeable gaps in model capabilities. they aren't good at poking around at a problem and creating a new conceptual understanding of it. they can't do continual learning except for the weak sort within the context window. this is really important for achieving the more radical AGI visions and even constrains their capabilities in more mundane settings. i think the models are perfectly capable of automating large amounts white collar work if they can be flexibly adapted to a corporate context, but they can't. (http://www.autoadmit.com/thread.php?thread_id=5868844&forum_id=2#49899317) |