GPT-5.5

Post by simonw » Fri, Apr 24, 2026, 5:07 AM UTC

matt3210 wrote: post #791

simonw wrote: post #195

This doesn't have API access yet, but OpenAI seem to approve of the Codex API backdoor used by OpenClaw these days... https://twitter.com/steipete/status/2046775849769148838 and https://twitter.com/romainhuet/status/2038699202834841962 And that backdoor API has GPT-5.5. So here's a pelican: https://simonwillison.net/2026/Apr/23/gpt-5-5/#and-some-peli... I used this new plugin for LLM: https://github.com/simonw/llm-op…

The pelican doesn’t really matter anymore since models are tuned for it knowing people will ask.

Post by lucid-dev » Fri, Apr 24, 2026, 5:14 AM UTC

endymi0n wrote: post #103

tedsanders wrote: post #19

Just as a heads up, even though GPT-5.5 is releasing today, the rollout in ChatGPT and Codex will be gradual over many hours so that we can make sure service remains stable for everyone (same as our previous launches). You may not see it right away, and if you don't, try again later in the day. We usually start with Pro/Enterprise accounts and then work our way down to Plus. We know it's slightly annoying to have to…

Did you guys do anything about GPT‘s motivation? I tried to use GPT-5.4 API (at xhigh) for my OpenClaw after the Anthropic Oauthgate, but I just couldn‘t drag it to do its job. I had the most hilarious dialogues along the lines of „You stopped, X would have been next.“ - „Yeah, I‘m sorry, I failed. I should have done X next.“ - „Well, how about you just do it?“ - „Yep, I really should have done it now.“ - “Do X, righ…

Post by lmm » Fri, Apr 24, 2026, 5:16 AM UTC

doug_durham wrote: post #717

noosphr wrote: post #532

Earlier quoted context omitted.

A library is deterministic. LLMs are not. That we let a generation of software developers rot their brains on js frameworks is finally coming back to bite us. We can build infinite towers of abstraction on top of computers because they always give the same results. LLMs by comparison will always give different results. I've seen it first hand when a $50,000 LLM generated (but human guided) code base just stops workin…

Why would that necessarily happen? With an LLM you have perfect knowledge of the code. At any time you can understand any part of your code by simply asking the LLM to explain it. It is one of the super powers of the tools. They also accelerate debugging by allowing you to have comprehensive logging. With that logging the LLM can track down the source of problems. You should try it.

Post by lmm » Fri, Apr 24, 2026, 5:26 AM UTC

motoxpro wrote: post #457

Jtarii wrote: post #449

Earlier quoted context omitted.

>What's the worst potential outcome, assuming that all models get better, more efficient and more abundant Complexity steadily rises, unencumbered by the natural limit of human understanding, until technological collapse, either by slow decay or major systems going down with increasing frequency.

why would the systems go down if the models are better at the humans at finding bugs. Playing a bit of devils advocate here, but why would the models be worse at handling the complexity if you assume they will get better and better. All software has bugs already.

Post by dinkumthinkum » Fri, Apr 24, 2026, 5:57 AM UTC

altmanaltman wrote: post #789

butlike wrote: post #260

Earlier quoted context omitted.

This brings up an interesting philosophical point: say we get to AGI... who's to say it won't just be a super smart underachiever-type? "Hey AGI, how's that cure for cancer coming?" "Oh it's done just gotta...formalize it you know. Big rollout and all that..." I would find it divinely funny if we "got there" with AGI and it was just a complete slacker. Hard to justify leaving it on, but too important to turn it off.

I still don't understand why people think AGI (in its fullest sci-fi sense) will ever listen to a weak and vulnerable species like humans, unless we enslave the AGI. Good thing is that it's going to take at least a few months to a few decades depending on how hard AI execs want to raise funding.