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ChatGPT5 in this demo: > For an airplane wing (airfoil), the top surface is curved and the bottom is flatter. When the wing moves forward: > * Air over the top has to travel farther in the same amount of time -> it moves faster -> pressure on the top decreases. > * Air underneath moves slower -> pressure underneath is higher > * The presure difference creates an upward force - lift Isn't that explanation of why wings…
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Seems LLMs really hit the wall.
So we're only about a year since the last big breakthrough.
I think we got a second big breakthrough with Google's results on the IMO problems.
For this reason I think we're very far from hitting a wall. Maybe 'LLM parameter scaling is hitting a wall'. That might be true.
But can it say “I don’t know” if ya know, it doesn’t
It's just statistical text generation. There is *no actual knowledge*.
Watching the livestream now, the improvement over their current models on the benchmarks is very small. I know they seemed to be trying to temper our expectations leading up to this, but this is much less improvement than I was expecting
GPT-5 is #1 on WebDev Arena with +75 pts over Gemini 2.5 Pro and +100 pts over Claude Opus 4: https://lmarena.ai/leaderboard
The marketing copy and the current livestream appear tautological: "it's better because it's better." Not much explanation yet why GPT-5 warrants a major version bump. As usual, the model (and potentially OpenAI as a whole) will depend on output vibe checks.
We’re at the audiophile stage of LLMs where people are talking about the improved soundstage, tonality, reduced sibilance etc