I thought he was joking but no lmao this is just a little embarrassing

I thought that 3 models at 61% seemed a bit suspicious, so I asked gpt-5.2 in codex. A pretty good explanation from it: Not really. With n=100 you only get 1% resolution, and if several models are clustered around ~0.6 true accuracy, landing on exactly 61/100 is common (binomial

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gpt-5.2-high still gets ~61%, no improvement over medium reasoning on IBench

* forgot to include recent knowledge cutoff, really important too

gpt-5.2 seems to be a dumber these past few days

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ok im gonna try running gpt-5.2-pro pray for me

gpt-5.2 is a substantial improvement in essentially every aspect i can think of - long context - visual reasoning - math/science/stem still need to chat with it to test sychophancy/creativity stuff, but seems really good on paper

(still yet to run it on high reasoning)

gpt-5.2 ties gemini 3.0 pro on IBench! this is huge, openai was always lagging behind on visual tasks but seems to have caught up

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this in reference to them actually naming it 5.2, benchmarks are alright too i guess

oh no OHHH NOO

i hope they dont actually call it 5.2 it'll be too much for me to handle gpt-5.2-codex-max-extra-high-fast

if this were anthropic, they would've just released a groundbreaking model without the vaguepoasting but sure

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wow haha so subtle

https://t.co/T6rVqywhoT

look at what i found out in the public @patience_cave

this looks very cool, cant wait to run the small variant locally!

can't wait for gpt-6.7

this is such a baseline understanding of "AI", it baffles me how it has 70k likes

good morning