Who said anything about sustainable? The only goal here is to hobble to the next VC round. And then the next, and the next, ...

It doesn't even have that, knowledge cutoff is in 2024.

Vast quantities of extremely dumb money

I find it struggles to even refactor codebases that aren't that large. If you have a somewhat complicated change that spans the full stack, and has some sort of wrinkle that makes it slightly more complicated than adding a data field, then even the most modern LLMs seem to trip on themselves. Even when I tell it to create a plan for implementation and write it to a markdown file and then step through those steps in a separate prompt.

Not that it makes it useless, just that we seem to not "be there" yet for the standard tasks software engineers do every day.

Agree, I think they'll need to move to performance now. If a model was comparable to Claude 4, but took like 500ms or less per edit. A quicker feedback loop would be a big improvement.

> Will wait for vibe check from simonw

https://openai.com/gpt-5/?video=1108156668

2:40 "I do like how the pelican's feet are on the pedals." "That's a rare detail that most of the other models I've tried this on have missed."

4:12 "The bicycle was flawless."

5:30 Re generating documentation: "It nailed it. It gave me the exact information I needed. It gave me full architectural overview. It was clearly very good at consuming a quarter million tokens of rust." "My trust issues are beginning to fall away"

Edit: ohh he has blog post now: https://news.ycombinator.com/item?id=44828264

o3 pricing: $8/Mtok out

GPT-5 pricing: $10/Mtok out

What am I missing?

Note GPT-5's subtle mouthfeel reminiscent of cranberries with a touch of bourbon.

I can already see LLMs Sommeliers: Yes, the mouthfeel and punch of GPT-5 it's comparable to the one of Grok 4, but it's tenderness lacks the crunch from Gemini 2.5 Pro.

You need to burn-in your LLM by using for 100 hours before you see the true performance of it.

Well, reduced sibilance is an ordinary and desirable thing. A better "audiophile absurdity" example would be $77,000 cables, freezing CDs to improve sound quality, using hospital-grade outlets, cryogenically frozen outlets (lol), the list goes on and on

Always have been. This LLM-centered AI boom has been my craziest and most frustrating social experiment, propped up by the rhetoric (with no evidence to back it up) that this time we finally have the keys to AGI (whatever the hell that means), and infused with enough AstroTurfing to drive the discourse into ideological stances devoid of any substance (you must either be a true believer or a naysayer). On the plus side, it appears that this hype train is taking a bump with GPT-5.

Come on, we aren't even close to the level of audiophile nonsense like worrying about what cable sounds better.

Informed audiophiles rely on Klippel output now

It’s always been this way with LLMs.