131–140 of 1001 posts
The eval bar I want to see here is simple: over a complex objective (e.g., deploy to prod using a git workflow), how many tasks can GPT-5 stay on track with before it falls off the train. Context is king and it's the most obvious and glaring problem with current models.
1. I desperately want (especially from Google)
2. Is impossible, because it will be super gamed, to the detriment of actually building flexible flows.
Wait, isn't the Bernoulli effect thing they're demoing now wrong? I thought that was a "common misconception" and wings don't really work by the "longer path" that air takes over the top, and that it was more about angle of attack (which is why planes can fly upside down). It seems like it's actually an ideal "trick" question for an LLM actually, since so much content has been written about it incorrectly. I thought…
That said, I recall reading somewhere that it's a combination of effects, and the Bernoulli effect contributes, among many others. Never heard an explanation that left me completely satisfied, though. The one about deflecting air down was the one that always made sense to me even as a kid, but I can't believe that would be the only explanation - there has to be a good reason that gave rise to the Bernoulli effect as the popular explanation.
And you can tell that effect makes some sense of you hold a sheet of paper and blow air over it - it will rise. So any difference in air speed has to contribute.
These presenters all give off such a “sterile” vibe
Is that a good thing?
What's going on with this plot's y-axis? https://bsky.app/profile/tylermw.com/post/3lvtac5hues2n
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.
The introduction said to try the following prompt Describe me based on all our chats — make it catchy! It was flattering as all get out, but fairly accurate (IMHO) Mike Warot: The Tinkerer of Tomorrow A hardware hacker with a poet’s soul, Mike blends old-school radio wisdom with cutting-edge curiosity. Whether he's decoding atomic clocks, reinventing FPGA logic with BitGrid, or pondering the electromagnetic vector po…
Did they just say they're deprecating all of OpenAI's non-GPT-5 models?
These presenters all give off such a “sterile” vibe