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Insane how gpt-6 leapfrogged fable in metrics
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Date: September 5th, 2026 1:48 PM Author: Glittery gaping tank (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117605) |
Date: September 5th, 2026 2:12 PM Author: Insanely Creepy Judgmental Skinny Woman Do you think I can maek it on police force at 40? (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117649) |
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Date: September 5th, 2026 3:15 PM Author: Glittery gaping tank idk. lets launch a micro-saas. can still maek it. just carve out that special niche and make 500K MRR within months (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117802) |
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Date: September 5th, 2026 3:23 PM Author: Richard Ames Absolutely. I read somewhere that in the past before we had such effective methods for sorting by aptitude, that you'd end up with way smarter police officers (and other such jobs) because people would go into whatever profession their family was in, regardless of ability.
We've obviously had less of this for 50+ years now. And I think that is part of why the police and other important fields are increasingly full of dumbasses.
You can be the tip of the spear in reversing this, friend. |
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Date: September 5th, 2026 3:37 PM Author: Insanely Creepy Judgmental Skinny Woman That's something I think about a lot. The Great Sorting of college meritocracy in the 20th century has basically hyper-concentrated intelligence in the highest paying/most prestigious fields and I think is a very underrated reason in the decline of many societal structures/industries we used to take for granted (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117829) |
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Date: September 5th, 2026 4:30 PM Author: Richard Ames It is also one of those things that the majority of people, even smart people, don't consider when they look at the bigger picture and the problems we face.
TBH I think the flip side of it is that a smart person can massively excel in their life by joining a non-preftigious field. But only if they're willing to forego preftige. |
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Date: September 5th, 2026 4:41 PM Author: Effete bright national national security agency ….or bomb OCI. (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117932) |
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Date: September 5th, 2026 5:52 PM Author: Richard Ames Let's face it, anyone who truly bombs OCI is more or less screwed. Even the non-preftigious fields will tell them to eat shit because of phenotype alone. (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50118042) |
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Date: September 5th, 2026 3:27 PM Author: Lime Senate Sweet Tailpipe Gemini still beats everything (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117815) |
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Date: September 5th, 2026 4:02 PM Author: unholy ladyboy They are certainly behind Fable and Astra based on peak performance but the 3.8 flash model is actually pretty good for most things and is very fast. (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117861) |
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Date: September 5th, 2026 5:00 PM Author: azure aromatic fanboi brunch (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117951) |
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Date: September 5th, 2026 4:04 PM Author: Glittery gaping tank lol (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117870) |
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Date: September 5th, 2026 4:37 PM Author: Lime Senate Sweet Tailpipe (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117921) |
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Date: September 5th, 2026 4:11 PM Author: Drunken location queen of the night in what? gpt seems numba 1 for everything, esp i trid writing programs and gemini sucks, only good thing its free unlimited it seems (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117882) |
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Date: September 5th, 2026 4:24 PM Author: well-lubricated swollen institution stain The flash model is faster than anything else and works well for most things. It's even pretty good at coding anymore based on DeepSWE, which has traditionally been Gemini's weak point. (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117906) |
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Date: September 5th, 2026 4:06 PM Author: checked out chud What is max iq to think that benchmarks mean anything at all in 2026 (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117874) |
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Date: September 5th, 2026 4:40 PM Author: Glittery gaping tank You should give your crank theory about why the metrics are meaningless to open ai and anthropic! I'm sure they will pay you big money for figuring out something their top engineers and researchers couldn't. I'll bet you are so high iq you could even come up with better metrics and save the industry! (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117928) |
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Date: September 5th, 2026 4:55 PM Author: checked out chud Benchmark progress is almost definitionally guaranteed to happen because the process of constructing a benchmark is a direct precursor to the process of constructing a training dataset used for hill climbing that benchmark (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117942) |
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Date: September 5th, 2026 4:59 PM Author: well-lubricated swollen institution stain Even when new benchmarks are created, the rank ordering is highly correlated to past benchmark scores. This is prior to any sort of hill climbing. (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117948) |
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Date: September 5th, 2026 4:50 PM Author: provocative cordovan heaven Wow you’re a dumbass nigger lol (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117937) |
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Date: September 5th, 2026 4:56 PM Author: well-lubricated swollen institution stain The criticism of benchmarks reminds me of the criticisms by people like Gould who disputed the existence of general intelligence in humans. It fails for similar reasons. The benchmarks are highly correlated, even private benchmark scores. They are clearly loading on a g factor equivalent, so the arbitrary nature of a particular benchmark doesn't matter much. (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50117943) |
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Date: September 5th, 2026 5:05 PM Author: checked out chud This argument would be reasonable if the benchmarks actually corresponded to general increases in practical abilities (let alone g equivalent "IQ" lol) and were not specifically engineered to reflect "improvements" that are selected due to ease and efficiency to train for and in some cases profitable as a product
If what you are saying was true, we'd see models get continuously smarter in terms of "g" or "IQ." That's not what we're seeing. We are seeing them get barely incrementally smarter in terms of overall "IQ," while their specific abilities that they're RL trained for, like coding and math, are what increase |
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Date: September 5th, 2026 5:15 PM Author: well-lubricated swollen institution stain The benchmarks that are being used to evaluate these models now rely on obscure pieces of human knowledge that often only a few people in the world could competently handle. They have saturated practically everything that is easy so now they create ridiculous things like FrontierMath that get saturated in a year and a half. They are being evaluated much more broadly and deeply than any IQ test.
There are deficiencies in the models, but the reality of increasing practical usefulness is impossible to dispute. There is a reason why Anthropic and OpenAI revenue is growing so fast. |
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Date: September 5th, 2026 5:39 PM Author: checked out chud This is all over the place. RL training for obscure mathematical ability is the oppose of "broadly and deeply." I don't dispute that models are getting massively better at the tasks that they're being RL trained for. I'm saying that "benchmarks" are misleading and largely pointless because we know by definition that the models *must* be getting better at tasks they're being specifically RL trained for. But there is no corresponding way to "just RL train" for general intelligence/IQ
Also you guys (AI evangelists) always fall back on this trope where whenever someone points out the hard and real limitations of LLMs, you say oh but they're increasingly practically useful and profitable. Yes, no one disputes that, myself included. But that's just "moving the goalposts" away from the substance of the very real limitations of LLMs |
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Date: September 5th, 2026 5:53 PM Author: Glittery gaping tank arc-agi-3 tests generalized tasks that the model wasn't trained on and gpt-6 saturated the metric and beat humans on it so lol at you. you are arguing outdated points. (https://autoadmit.com/thread.php?thread_id=5900885&forum_id=2#50118045) |