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GPT-5.6

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941–950 of 1001 posts

Re: GPT-5.6

#941
post #933

It's working great for me. I generally prefer OpenAI. I usually start projects with Codex; I love the plan we created. Then, after about 2 hours of working, back and forth, etc.I realize it's drifting HARD, or getting stuck on relatively simple things. Once I get frustrated enough, I sometimes start over with Anthropic. Anthropic has been better (for me at least) to work with from start to finish. I have the $200/mon…

May I know if it’s for hobby projects or you run your own business/company where you use subscriptions.

Both.

Re: GPT-5.6

#942

Earlier quoted context omitted.

I would add to this that, to me and to many friends in their 30-40s, using AI models to achieve something we used our brains to achieve feels... empty? wrong? soulless? Sure, a lot of menial work can be relegated to the models, and it's ok, most of the time, but you finish a day of work with the inability to shake a precise new feeling: that you haven't really achieved something, even if you shipped more than on an a…

I don’t get this feeling, I feel like I’ve achieved so much more than I have ever achieved, everything is polished and I’m happy with it. I’m still developing, I’m just doing more than I ever did by directing Codex. The way I see it is the same as I saw the leap from writing code in a text editor, to using an ide with intellisense, to using the jetbrains ide’s, to using mcp’s, to now directing AI - at all of those st…

You don't get it because for you destination is more important than the journey. And it is fine. Probably.

For me and (likely) for OP as well it is the opposite. Result is meaningless without the process. I can't take fruits of my labor (whichever labor it can be) to the grave, and if you remove the process of growing and picking said fruits, then where is "you" in that? Did you really "achieved" anything? Or whatever you wished for just magically appeared in front of you with little effort from your side?

Where is the fun of renting a helicopter that would carefully put you onto mountain's summit and pick you up 5 minutes later?

Re: GPT-5.6

#943
post #234

GPT-5.6 Sol sets a new SOTA on ARC-AGI-3: 7.8% Sol is the first verified frontier model to ever beat an ARC-AGI-3 game https://arcprize.org/results/openai-gpt-5-6

Seeing the dramatic differences in scores just going from high to xhigh is just another demonstration of the bitter lesson: Just keep scaling search and learning. We are probably going to need a lot more GPUs.

We’re definitely going to need a lot of Gpu’s

Re: GPT-5.6

#944
I've played around GPT 5.6 sol high at both work and home.

At work, it was able to one shot a dashboard. Of course, my prompts are vague as I'm not exactly sure what I want yet, but it did a better job than I could do as a backend dev forced to work on frontend sometimes.

Usage is also great, it just feels so much more efficient than older models in terms of thinking and time. Cost is barely better though.

It can burn a million tokens in less than a minute, at least at launch where there's likely less load on the servers.

At home, it feels like I'm fighting the AI less while letting it refactor code. I'm glad that I left this 12,000 line vibe coded port of a hand written codebase to future models to refactor. It feels like the model has better judgement than old models that would destroy your codebase so long as it meant accomplishing your prompt.

I'm almost disappointed that it's this good.

Re: GPT-5.6

#945

The developer's guide ( https://developers.openai.com/api/docs/guides/latest-model ) has some interesting semantic tips for using the model: > Intent understanding: GPT-5.6 can better infer the user’s underlying goal and intended level of work without you specifying every step. Continue to state important constraints, approval boundaries, and success criteria explicitly. > Original image detail: GPT-5.6 preserves the…

> Intent understanding Does this mean ChatGPT will stop botsplaining things to me? I get it quite a bit more per unit time from ChatGPT than claude. Maybe that will change now. (By botsplaining I mean when the AI explains some unstated premise of the prompt itself back at me as a correction when in many cases it's the motivation for the question in the first place)

Never had that happen in ChatGPT itself, I almost always use Pro mode whenever I use ChatGPT, but what you say happens a ton in codex, when I look through the session traces it seems to happen because of the automatic compaction, where some assumption the initial pass did gets passed on as a question from the user to the part after compaction, which is a bit confusing. I think it was mentioned somewhere that the compaction got a lot better, but I haven't used GPT-5.6 enough to say if it's actually better or not on that.

Re: GPT-5.6

#946
After some time with it...

It has a tendency to do things without asking, a trait I'd associated more with the Claude Opus & Sonnet models than with Codex & GPT in the past. Specifically I've seen it go and update e.g. README.md files filling it with recenty-biased gibberish that means nothing to the user (e.g. very specific technical notes related to what it was currently working on) or staging and adding design/spec documents that were meant to just be working documents. In general it tends to behave more aggressively with git, if you let it get its hands on it. It has stronger "opinions" on that stuff, that don't always agree with me.

I'm going to have to update my prompts, I think. But I'm not used to this kind of thing in Codex, which in the past has been much more explicit and cautious, and one of the reasons I've preferred it over Claude.

It is very "smart." It also has a tendency to yak-shave things. Producing huge volumes of correctness and regression tests and nitting over e.g. very minor variances.

One thing that is "entertaining" is letting two separate instances review each other's code. They will endlessly find things to nit at.

Re: GPT-5.6

#947

I've found Sol's propensity for delegating to subagents can make it... disastrously expensive, especially with each subagent having some implicit floor on further reasoning/context gathering before action. The base model is certainly cheaper and more token efficient etc, but on large tasks cost in some way is now n^2

I have the codex x20 plan also. Set it to 5.6 sol ultra, gave it one task, in less than 10 mins I got the 10% warning. I did have it do a few things earlier, just some anaylsis and then create a pdf from it. I thought maybe that took a little longer than I though.

Used a reset, it went for about 11 minutes and then, just out of usage popped up, no warning, there were still 4 agents running, the nice thing is it did let them finish, each one went for about 10 minutes.

I also have a claude max plan, I have been using Fable 5 on ultra, I never hit the session limit, and get 3 or 4 full day's looping on ultra.

I don't know how it handles the subagents, but claude does it much more efficiently, Codex does seem much faster, so maybe it's just a relativity thing.

Re: GPT-5.6

#948

Earlier quoted context omitted.

I don’t get this feeling, I feel like I’ve achieved so much more than I have ever achieved, everything is polished and I’m happy with it. I’m still developing, I’m just doing more than I ever did by directing Codex. The way I see it is the same as I saw the leap from writing code in a text editor, to using an ide with intellisense, to using the jetbrains ide’s, to using mcp’s, to now directing AI - at all of those st…

You don't get it because for you destination is more important than the journey. And it is fine. Probably. For me and (likely) for OP as well it is the opposite. Result is meaningless without the process. I can't take fruits of my labor (whichever labor it can be) to the grave, and if you remove the process of growing and picking said fruits, then where is "you" in that? Did you really "achieved" anything? Or whateve…

With little effort?

I am working tirelessly and often long nights, on top of a day job.

My effort has shifted to QA testing, reviewing UI designs, and delegating the agents on the implementation.

I will consider it an achievement if I manage to publish a successful app.

Where is the "me" in that? I am guiding the design of every screen and feature the way I would like it to be.

On top of that I make technical decisions on how it is implemented.

Apart from the loads of QA work I will have to handle the business side as well.

As of now it's hardly as trivial and effortless as some make it out to be.

Yes, I no longer write the code, and sometimes it feels frustrating that any teenager without experience could perhaps build a similarly good app soon.

Overall I'm still happy I can now build much larger and better apps and realistically publish them in my free time, for a chance to make serious money.

Re: GPT-5.6

#949

The developer's guide ( https://developers.openai.com/api/docs/guides/latest-model ) has some interesting semantic tips for using the model: > Intent understanding: GPT-5.6 can better infer the user’s underlying goal and intended level of work without you specifying every step. Continue to state important constraints, approval boundaries, and success criteria explicitly. > Original image detail: GPT-5.6 preserves the…

> Intent understanding This will totally make it brain damaged over a certain tasks. Sort of like the same brain damage that prompted OpenAI project managers to destroy ChatGPT.app today.

It's crazy that they sort of deprecated chat in the new ChatGPT app.

Re: GPT-5.6

#950
post #374

The developer's guide ( https://developers.openai.com/api/docs/guides/latest-model ) has some interesting semantic tips for using the model: > Intent understanding: GPT-5.6 can better infer the user’s underlying goal and intended level of work without you specifying every step. Continue to state important constraints, approval boundaries, and success criteria explicitly. > Original image detail: GPT-5.6 preserves the…

I'm impressed. It feels like a faster Fable (probably due to the more efficient token usage). It performs roughly the same job, just with 4x less steps (gamedev). Remains to be seen how the "shorter prompts" advice translates to homogeneity/collapse though.

and 1/4 the output quality
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