I have a suspicion that while the major AI companies have been pretty samey and competing in the same space for a while now, the market is going to force them to differentiate a bit, and we're going to see OpenAI begin to lose the race toward extremely high levels of intelligence instead choosing to focus on justifying their valuations by optimizing cost and for conversational/normal intelligence/personal assistant use-cases. After all, most of their users just want to use it to cheat at school, get relationship advice, and write business emails. They also have Ive's company to continue investing in.

Meanwhile, Anthropic & Google have more room in their P/S ratios to continue to spend effort on logarithmic intelligence gains.

Doesn't mean we won't see more and more intelligent models out of OpenAI, especially in the o-series, but at some point you have to make payroll and reality hits.

> I know they seemed to be trying to temper our expectations leading up to this

Before the release of the model Sam Altman tweeted a picture of the Death Star appearing over the horizon of a planet.

Law of diminishing returns.

We’re talking about less than a 10% performance gain, for a shitload of data, time, and money investment.

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

Also, the code demos are all using GPT-5 MAX on Cursor. Most of us will not be able to use it like that all the time. They should have showed it without MAX mode as well

Sam said maybe two years ago that they want to avoid "mic drop" releases, and instead want to stick to incremental steps.

This is day one, so there is probably another 10-20% in optimizations that can be squeezed out of it in the coming months.

The hallucination benchmarks did show major improvement. We know existing benchmarks are nearly useless at this point. It's reliability that matters more.

im sure i am repeating someone else but sounds like we're coming over the s-curve

It is at least much cheaper and seems faster.

They also announced gpt-5-pro but I haven't seen benchmarks on that yet.

I mean that's just the consequence of releasing a new model every couple months. If Open AI stayed mostly silent since the GPT-4 release (like they did for most iterations) and only now released 5 then nobody would be complaining about weak gains in benchmarks.