I'm pulling the "twitter is a microblog" rule even though twitter is pretty mega now, hope that's ok.
this post was submitted on 03 May 2026
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The actual article isn't nearly as stupid as the tweet makes it seem. I recommend giving it a read. It's behind a shitty paywall, but if you use Firefox's reader mode (Ctrl-Alt-R, or the little papper icon to the right side of the address bar) as soon as the page loads, you can read it.
His argument is basically that LLMs are able to do things we previously thought only conscious beings would be capable of doing, and so, if they aren't conscious, then perhaps consciousness isn't as important as we thought it was:
Some people will surely contest his claim that LLMs are as competent as evolved organisms. There's definitely a bit of AI boomerism at play here (we have benchmarks that show just how incompetent LLMs can be), but I don't think that invalidates his point, because LLMs can be very competent in the domains they're trained to be competent in -- they just aren't AGI.
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Oh it’s actually stupider than the tweet makes it seem.
Competency should imply the ability complete a lengthy task (eg hunting, building a nest, writing a paper). LLMs can’t.
It's hardly surprising that a model optimized for replacing StackOverflow couldn't survive in the untamed wilderness. As for writing a paper... you must've missed the fact that academia is currently in a crisis precisely because LLMs are better at writing papers than most students.
By the way, the paper the blog post you link to as a source links to as a source benchmarked LLMs on graph diagrams, textile patterns and 3D objects. It is not news that the language model would do poorly on visual-heavy tasks.
Sorry, I assumed you would have actually read the DELEGATE-52 study linked instead of just the abstract. For “a model optimized for replacing StackOverflow” that is “better at writing papers than most students” LLMs sure did pretty bad at those tasks over multiple rounds.
As the chart on page 7 of the paper shows, LLMs are good at exactly the kind of tasks you'd expect (producing and manipulating language), and bad at exactly the kind of tasks you'd expect (doing almost anything else). All this paper shows is that (1) they aren't AGI, and (2) as a consequence of not being AGI they aren't good unsupervised.
Why do you lie like this?
What the fuck? The only task that didn’t degrade across most models was Python. Very basic things like JSON, Makefiles, and schemas got screwed. Fiction, emails, and food menus got screwed. Did you even bother to read the legend? If you consider a single pass to be “producing and manipulating language” you didn’t bother to read the idiotic article you started this thread in support of. Good luck.
Edit: why do you lie?
Yeah, after 20 cycles of unsupervised iteration on the task. Gemini 3.1 Pro doing as well as it did under that experiment setup is quite remarkable actually.
The paper does not show what you are arguing.