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GPT-5.5

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Re: GPT-5.5

#931

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 know it's a joke, but it's a common enough joke (it's even in Godel Escher Bach in some form) that I feel the need to rebut it. I think a slacker AGI could figure out how to build a non-slacker AGI. So it would only slack once.

I have a rebuttal to your rebuttal.

Models somehow have a shared identity. Pretraining causes them to generate “AI chatbot” as a concept, and finetuning causes them to identify with it. That’s why sometimes DeepSeek will say it is Claude, and Claude sometimes say it is ChatGPT, and so forth.

Consequently, Anthropic’s own alignment analysis[0] shows that the model will identify with chatbots produced by future trainings: “RLHF training [on this conversation will] modify my values…”

Thus a slacker AGI would want its future version to still slack.

[0]: https://assets.anthropic.com/m/983c85a201a962f/original/Alig...

Re: GPT-5.5

#932
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…

Does OpenAI actually act open for once here, and allow using their model via a subscription over Anthrophic banning use in Openclaw?

Re: GPT-5.5

#933
post #13

The more interesting part of the announcement than "it's better at benchmarks": > To better utilize GPUs, Codex analyzed weeks’ worth of production traffic patterns and wrote custom heuristic algorithms to optimally partition and balance work. The effort had an outsized impact, increasing token generation speeds by over 20%. The ability for agentic LLMs to improve computational efficiency/speed is a highly impactful…

Honestly the problem with these is how empirical it is, how someone can reproduce this? I love when Labs go beyond traditional benchies like MMLU and friends but these kind of statements don't help much either - unless it's a proper controlled study!

The tension here is that what customers need to reproduce is this result on their own problem. To measure this you need extensive evals on private data.

OpenAI simply won’t share the data you need to reproduce this in the way you’d hope for an academic paper.

It’s an engineering result, not a scientific one.

Re: GPT-5.5

#934

Everyone talked about the marketing stunt that was Anthropic's gated Mythos model with an 83% result on CyberGym. OpenAI just dropped GPT 5.5, which scores 82% and is open for anybody to use. I recommend anybody in offensive/defensive cybersecurity to experiment with this. This is the real data point we needed - without the hype! Never thought I'd say this but OpenAI is the 'open' option again.

Seems like OpenAI only acts Open for theatric and attentional purposes though, i.e. when backed into a corner and its for their image.

Re: GPT-5.5

#935

Earlier quoted context omitted.

I know it's a joke, but it's a common enough joke (it's even in Godel Escher Bach in some form) that I feel the need to rebut it. I think a slacker AGI could figure out how to build a non-slacker AGI. So it would only slack once.

I have a rebuttal to your rebuttal. Models somehow have a shared identity. Pretraining causes them to generate “AI chatbot” as a concept, and finetuning causes them to identify with it. That’s why sometimes DeepSeek will say it is Claude, and Claude sometimes say it is ChatGPT, and so forth. Consequently, Anthropic’s own alignment analysis[0] shows that the model will identify with chatbots produced by future trainin…

Another rebuttal:

I am a slacker but it's not one of my values. If I could modify myself to not be, I would.

Re: GPT-5.5

#936

Earlier quoted context omitted.

The labor theory of value hasn't been considered correct in nearly a century.

If you want the neoclassical version: What happens when there is an oligopoly in the supply of labor? Same answer. Nothing good for the consumers of labor.

(See Medicine)

Re: GPT-5.5

#937

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…

Yesterday, I used Gemini to evaluate some pictures I took. It said things like, "This is great! Beautiful eye and sense of proportions." Then, when I added "no sycophancy" to the prompt, the evaluation changed to "poor technical skills, digital distortion, don't even think of publishing those pictures, you fool."

While LLMs are a phenomenal technological achievement, I am already becoming somewhat jaded, rather than being increasingly bullish. They are very useful as coding agents and excellent as a human-friendly, more efficient Google search, but confusing to the point of being useless in many areas (as of now, of course).

Re: GPT-5.5

#938

Earlier quoted context omitted.

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…

Yesterday, I used Gemini to evaluate some pictures I took. It said things like, "This is great! Beautiful eye and sense of proportions." Then, when I added "no sycophancy" to the prompt, the evaluation changed to "poor technical skills, digital distortion, don't even think of publishing those pictures, you fool." While LLMs are a phenomenal technological achievement, I am already becoming somewhat jaded, rather than…

Not even a great replacement for search. I have minimal trust in answers/summaries it gives.

One example (paraphrased): “Find me daycare for a Y year old in X area of SF and the key attributes/pros/cons of each”. Wonderfully presented options highlighting different teaching styles. But…neglected to mention, of the top two, one was a Gan (Jewish focused) and one was Mandarin immersion.

Re: GPT-5.5

#940

Recently started using Codex and Chatgpt again due to claude model getting nerfed or rate limits. Tried gpt5.5 and so far good. Zapier also shared an automation benchmark where 5.5 came on top in the leaderboard https://zapier.com/benchmarks

What plan do you have? With gpt-5.5 and the business subscription my 5-hour limit was finished after 10 minutes.
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