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OpenAI o3-pro

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Re: OpenAI o3-pro

#82
post #50
post #13

here's a nice user review we published: https://www.latent.space/p/o3-pro sama's highlight[0]: > "The plan o3 gave us was plausible, reasonable; but the plan o3 Pro gave us was specific and rooted enough that it actually changed how we are thinking about our future." I kept nudging the team to go the whole way to just let o3 be their CEO but they didn't bite yet haha 0: https://x.com/sama/status/1932533208366608568

Big fan swyx, but both here and in the article there is some bragging about being quoted by sama, and while I acknowledge that that’s not out of the ordinary, I’m concerned about where it leads: what it takes to get quoted by sama (or similar interested party) is saying something good about his product, and having a decent follower count. Dangerous incentives IMO.

acked. in my defense i didnt write the article + ben already had a good track record from the o1 article. while our relationship with oai is v v v impt to us, we've also covered negative openai stories: https://www.latent.space/p/clippy-v-anton and will continue to give balanced coverage with the other labs when they do well.

we are definitely not seeking to be openai sycophants, nor would they want us to be.

Re: OpenAI o3-pro

#84
post #36
post #28

The guys in the other thread who said that OpenAI might have quantized o3 and that's how they reduced the price might be right. This o3-pro might be the actual o3-preview from the beginning and the o3 might be just a quantized version. I wish someone benchmarks all of these models to check for drops in quality.

That's definitely not the case here. The new o3-pro is slow - it took two minutes just to draw me an SVG of a pelican riding a bicycle. o3-preview was much faster than that. https://simonwillison.net/2025/Jun/10/o3-pro/

> It's only available via the newer Responses API

And in ChatGPT Pro.

Re: OpenAI o3-pro

#87
I am still not willing to upgrade to a Pro account. I pay $20 a month for both Gemini and ChatGPT, and for what I need this is currently enough.

I have dreamed of having powerful AI ever since I read Bertram Raphael's great book Mind Inside Matter around 1978, getting hooked on AI research and sometimes practical applications for my life since then.

I can easily afford $200 for a Pro account but I get this nagging feeling that LLMs are not the final path to the powerful AI I have always dreamed of and I don't want to support this level of hype.

I have lived through a few AI winters and I worry that accountants will tally up the costs, environmental and money, versus the benefits and that we collectively have an 'oh shit' moment.

Re: OpenAI o3-pro

#88

Earlier quoted context omitted.

I'm seeing big advances that arent shown in the benchmarks, I can simply build software now that I couldnt build before. The level of complexity that I can manage and deliver is higher.

mind telling examples?

Not OP, but a couple of days ago I managed to vibecode my way through a small app that pulled data from a few services and did a few validation checks. By itself its not very impressive, but my input was literally "this is how the responses from endpoint A,B and C look like. This field included somewhere in A must be somewhere in the response from B, and the response from C must feature this and that from response A and B. If the responses include links, check that they exist". To my surprise, it generated everything in one go. No retry nor Agent mode churn needed. In the not so distant past this would require progressing through smaller steps, and I had to fill in tests to nudge Agent mode to not mess up. Not today.

Re: OpenAI o3-pro

#89

I'm really hoping GPT5 is a larger jump in metrics than the last several releases we've seen like Claude3.5 - Claude4 or o3-mini-high to o3-pro. Although I will preface that with the fact I've been building agents for about a year now and despite the benchmarks only showing slight improvement, I have seen that each new generation feels actively better at exactly the same tasks I gave the previous generation. It would…

It's hard to be 100% certain, but I am 90% certain that the benchmarks leveling off, at this point, should tell us that we are really quite dumb and simply not good very good at either using or evaluating the technology (yet?).

> (...) at this point, should tell us that we are really quite dumb and simply not good very good at either using or evaluating the technology (yet?).

I don't know about that. I think it's mainly because nowadays LLMs can output very inconsistent results. In some applications they can generate surprisingly good code, but during the same session they can also do missteps and shit the bed while following a prompt to small changes. For example, sometimes I still get prompt responses that outright delete critical code. I'm talking about things like asking "extract this section of your helper method into a new methid" and in response the LLM deletes the app's main function. This doesn't happen all the time, or even in the same session for the same command. How does one verify these things?

Re: OpenAI o3-pro

#90
post #36

Earlier quoted context omitted.

That's definitely not the case here. The new o3-pro is slow - it took two minutes just to draw me an SVG of a pelican riding a bicycle. o3-preview was much faster than that. https://simonwillison.net/2025/Jun/10/o3-pro/

Wow! pelican benchmark is now saturated

Not until I can count the feathers, ask for a front view of the same pelican, then ask for it to be animated, all still using SVG.
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