Humans are not smart enough to understand half the code this shit writes
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Date: March 6th, 2026 5:40 PM Author: robot daddy
I notice this all the time. GPT 5.4 writes something and I'm like wow no human could ever understand this function lol. But what's funny is noone is willing to admit it because they are afraid to look dumb.
The math it does is even worse. It's not wrong but it makes arguments no human would make. Like when it does real analysis it does a weird blend of philosophical language and physics-like metaphors and math that are barely human readable.
I'm also retarded but it doesn't matter, I have read enough of what humans do to know what they are plausibly capable of
(http://www.autoadmit.com/thread.php?thread_id=5842475&forum_id=2#49722037) |
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Date: March 6th, 2026 5:43 PM
Author: ,.,..,.,..,.,.,.,..,.,.,,..,..,.,,..,.,,.
you can actually re-enter the generated code in the same or a different AI and ask it to explain the code to you, and it usually will.
(http://www.autoadmit.com/thread.php?thread_id=5842475&forum_id=2#49722046) |
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Date: March 6th, 2026 5:50 PM
Author: ,.,..,.,..,.,.,.,..,.,.,,..,..,.,,..,.,,.
it makes sense once we remember that 'code' is just a semi-natural-language framework for the generation of actual machine code and switching instructions. there's no reason that human-generated coding abstractions would be anywhere near the effectiveness or efficiency of what could actually be achieved using the system.
(http://www.autoadmit.com/thread.php?thread_id=5842475&forum_id=2#49722068) |
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Date: March 6th, 2026 9:36 PM Author: robot daddy
The category "AGI" is more of a political and psychological boundary than a scientific one and frontier models have now empirically detonated most of the criteria that were being used to keep humans feeling categorically safe. Even back with gpt 5.2 it was already super-human on most narrow to semi-general cognitive tasks, going purely by metrics. And with these newest models like 5.4, gemini 3.1 pro and others, general tests like the ARC-AGI-2, meant specifically to measure novel generalization and to resist memorization and training -- the newest models have basically saturated that test and we are talking about a test that most humans cannot even attempt and getting something like 30% right would be the equivalent of a prodigy level IQ. There are gaps for sure, current models have no persistent self-model that updates through time, no genuine stakes (which shapes how biological intelligences prioritize and reason under uncertainty), no unified agency across contexts-- and these gaps are things that create systematic failure patterns you won't see in humans for sure. A model that's superhuman at chess-like reasoning but has no persistent memory of having played the last game isn't general in the sense that matters for most real world consequential tasks, which are deeply path dependent. But at the same time I don't think these are even current limits of the technology, a lot of it is about what humans feel even comfortable with safely deploying and also compute costs bottleneck it too.
(http://www.autoadmit.com/thread.php?thread_id=5842475&forum_id=2#49722444) |
Date: March 6th, 2026 7:18 PM Author: tancredi marchiolo
really
when i look at the code i always think, this is good but man it looks like a textbook example in the way its structured and plays out
(http://www.autoadmit.com/thread.php?thread_id=5842475&forum_id=2#49722238) |
Date: March 6th, 2026 10:19 PM Author: computer online (π§)
Oh well
People who formed their identity based on glocapbux deserve their comeuppance. I was very fortunate to make it as far as I have (which is nothing compared to many people here) given my skillset and if my future is 20 bucks an hour so be it.
(http://www.autoadmit.com/thread.php?thread_id=5842475&forum_id=2#49722538) |
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