Anti AI people are seemingly increasingly deluded
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Poast new message in this thread
Date: May 31st, 2026 6:21 PM
Author: .,.,...,..,.,.,:,,:,...,:::,...,:,.,.:..:.
By that I mean people in the Bluesky/Ed Zitron sphere. The central point of their claims isn’t that AI is bad, but that it’s basically fake and the AI house of cards will collapse any day now. They have been saying for several years now that AI won’t get much better than it is now, the benchmarks don’t mean anything and AI companies will soon give up and admit defeat. This was amusing for a while even when it was obvious the scaling hypothesis was true, but it’s seemingly increasingly insane now that we are over 6 months past the release of Opus 4.5. Revenues are exploding, people are increasingly recognizing that agentic models actually work and model releases are still showing regular improvements. Mythos is going to be released in a few weeks (the model that found thousands of cyber vulnerabilities), and surely these people will find a way to dismiss its capabilities like everything before.
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49908982) |
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Date: May 31st, 2026 6:50 PM
Author: ..,.,.,,,,.,.,..,.,,,.,..,,.,.,,,
Counterpoint
If the LLMs really represented an imminent , disruptive force that will displace all white collar work, where are the killer apps?
They’ve been at these things for years, and it’s been nearly 4 years since chat gpt, nearly 2 years since performance gains from pre training have fallen off a cliff. We have yet to see any of this translate to functional, let alone vital, applications outside the area of computer code.
If AI is coming for white collar work, it’s a long, difficult, and uncertain road. That said, it won’t stop dumb companies from fooling themselves into “replacing” workers with AI slop.
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909042) |
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Date: May 31st, 2026 6:54 PM
Author: ..,.,.,,,,.,.,..,.,,,.,..,,.,.,,,
Right. It makes sense they would keep them a secret, what with the imminent IPOs. Don’t want to show your hand
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909047) |
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Date: May 31st, 2026 6:56 PM
Author: ..,.,.,,,,.,.,..,.,,,.,..,,.,.,,,
I will just take the good word of honest guys like Sam Altman and Dario amodei
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909059) |
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Date: May 31st, 2026 7:30 PM
Author: ,.,....,..,.,.,,,,..,..,.,..,.,.,.,...
labs are still hardware constrained and there are easier gains from post-training. post-training gains tend to be narrower and more domain specific, but they are large and especially important for the tasks that matter the most currently for enterprise customers (agentic tasks, especially coding). Mythos and Spud are apparently larger models (especially Mythos), so pre-training gains are happening. by 2030, they'll likely be able to afford training runs in the quadrillions of parameters (although I have to wonder whether that will be justified - recurrent/looped transformers are probably the most logical way to exploit greater compute). there are many ideas out there that could be exploited if labs had orders of magnitude more compute. the compute ceiling will be lifted substantially over the coming years, so large performance improvements even with no new ideas are inevitable.
for agentic coding tasks, the performance increases over the last year have been very large. guess what task matters the most for recursive self-improvement loops?
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909101) |
Date: May 31st, 2026 6:34 PM Author: everything is biology
the inherent technical limitations of LLMs are not ever going to magically disappear
they can't think, they can't plan, they don't do anything but predict text. they are going to continue to get better and better at computer stuff, because computer stuff is all based on text. and computers can do a lot of stuff, so they will be increasingly useful as long as energy costs stay below whatever threshold is needed
the problem with Computer People - among many problems with Computer People - is that they think that computers are the real world. when a Computer Person says that "LLMs are going to do everything," they're not lying, because for Computer People, "everything" is computers. it's kind of like how women don't even perceive unattractive men as existing, so whenever they are commenting on or thinking about "men," they are only thinking of attractive chad men
this leads to a lot of tedious semantic confusion surrounding LLMs and AI because Computer People are unable to perceive that there is a world outside of Computers, and that LLMs will never be capable of navigating this world, so they are constantly saying bizarre and ridiculous things about LLM future capabilities and trajectories that confuse and frighten non-Computer People
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909010) |
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Date: May 31st, 2026 7:15 PM Author: everything is biology
LLMs can approximate "thinking" and "planning" when the environment is text-only. it's what a contemporary LLM is doing when it is producing conversational or coding output
but the real world is not text-based. there is no way to create an "irl LLM." the real world is essentially infinite compared to the very narrow environment of text and cannot be "tokenized" the way that text can be
every time this is pointed out to LLM maximalists they avoid addressing it, handwave it away, or just make up ridiculous lies claiming that "it will just Happen, okay?!??!" real-world AI is definitely possible, and imo even inevitable on a long enough time scale with a stable human society that can maintain an environment that can support research into it. but it won't look anything like LLMs and we are not even *remotely close* to it
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909079) |
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Date: May 31st, 2026 7:28 PM Author: everything is biology
the danger here is that Computer People and their capitalist enablers will attempt to warp IRL into an environment that is maximally divorced from physical reality and maximally matches digital/text-based LLM reality - because that is what would be convenient and self-serving for them
that is: if you cannot create an AI that can dominate the real world, you instead change the real world into something that AI can dominate
this has, of course, already been happening for some time. historically, pre-AI technology and capitalism have already caused society to follow this pattern and AI will only accelerate it
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909099) |
Date: May 31st, 2026 6:42 PM Author: Juan Eighty
Anti AI chad here
can any bort AI bros explain to me how creating a hyperintelligent, all-powerful being ends well for humanity?
(http://www.autoadmit.com/thread.php?thread_id=5870287&forum_id=2...id#49909032) |
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