I can blame the user for believing the marketing over their direct experiences.

If you use these tools for any amount of time it's easy to see that there are some tasks they're bad at and some that they are good at. You can learn how big of a project they can handle and when you need to break it up into smaller pieces.

I can't imagine any sane person who lives their life guided by marketing hype instead of direct knowledge and experience.

I’m almost sure they’re keeping that for the Earnings call.

ok, but running a hairdryer for 5 minutes is well up into the hundreds of queries which is more than the vast majority of people will use in a week. The post I replied to was talking about it being 1-2% of energy usage, so that includes transport, heating and heavy industry. It just doesnt pass the smell test to me that something where a weeks worth of usage is exceeded by a person drying their hair once is comparable with such vast users of energy.

He looks like someone in a cult. Wide open eyes, thousand yard stare, not mentally in the same universe as the rest of the world.

It's an issue of scope. People often give the AI too much to handle at once, myself (admittedly) included.

When will genAI be so good, it'll solve its own energy crisis?

"Herr derr, AI. No, seriously."

I get the distinct impression that most of the focus for GPT5 was making it easier to divert their overflowing volume of queries to less expensive routes.

Most certainly it won't happen until after AI has developed a self-preservation bias. It's too bad the solution is turning off the AI.

"Beware: Another AI is watching every of your steps. If you do anything more or different than what I asked you to or touch any files besides the ones listed here, it will immediately shutdown and deprovision your servers."

Is it this?

Looks like he's going to eat his microphone

It's cheaper though, so very likely it's more efficient somehow.

Unless it wasn't as low as they wanted it. It's at least cheap enough to run that they can afford to drop the pricing on the API compared to their older models.

But it also could be lower, right?

I believe in verifiable statements and so far,with few exceptions, I saw nothing. We are now speculating on magical numbers that we can't see, but we know that ai is demanding and we know that even small models are not free. The only accessible data come from mistral, most other ai devs are not exactly happy to share the inner workings of their tools.
Even than, mistral didn't release all their data, even if they did it would only apply to mistral 7b and above, not to chatgpt.

i really hate this cunt's face.

Sam Altman has gone into PR and hype overdrive lately. He is practically everywhere trying to distract the media from seeing the truth about LLM. GPT-5 has basically proved that we've hit a wall and the belief that LLM will just scale linearly with amount of training data is false. He knows AI bubble is bursting and he is scared.

I've tried threats in prompt files, with results that are... OK. Honestly, I can't tell if they made a difference or not.

The only thing I've found that consistently works is writing good old fashioned scripts to look for common errors by LLMs and then have them run those scripts after every action so they can somewhat clean up after themselves.

Are you using Copilot in agent mode? That's where it breaks shit. If you're using it in ask mode with the file you want to edit added to the chat context, then you're probably going to be fine.