Joshua Stanton

@thsottiaux Banked

Embarrassment of riches. But looks like we might hit 9M soon. Should we reset the ChatGPT Work and Codex usage again or give it some space?

@ZandyXR Good work!

After years of creating detailed worlds in Unity, I finally built the capture tool I always wished for. SPLATZ! Capture Rig v1.0 is here! Key Features: 5 Capture Shapes True Equirectangular Full Coverage and Multi Angle Shots Single Shot and Stereoscopic Capture Real Linear Depth Maps and Alpha Support Rig Yaw Slider for Precise Control Live Preview and Mouse Look High Res Capture (up to 12k) COLMAP Export Commercial Use License Links to the prefab and tutorials below.

@TheoMediaAI Fable is cut down Sol with training wheels

Sigh. I'll say this: Fable is VERY good. VERY good. But 5.6 Sol is also very good. Best use: Fable Plans, Sol Builds, Fable Audits. For the most part, Sol will do a very fine job, but Fable always seems to catch one or missing details. Combined? Pretty amazing team.

@sumukx Sol is more powerful than fable but you have to put it inside a system not expect it to be the system.

Some thoughts about GPT-5.6-Sol after ~30B tokens: Sol is the most OCD model I’ve used thus far. It very frequently gets one-shotted by random nits in the codebase and writes a bunch of tests to fix it. Even with fast mode, it’s incredibly slow to do this kind of iterative development, especially when builds take really long. This by itself is not a bad thing, but the worst part is that after 2 compactions, it’s chasing the nitpick / useless goals I never told it to accomplish, rather than the main task. This behavior is so bad, I thought I was messing something up and tried codex, pi, and opencode to figure out if it’s a harness issue, but there is no meaningful difference between the three, which leads me to believe this is a model problem. AI code has this weird delayed release effect. You’ll only notice slop code 2 dev cycles into a codebase when you spend more time fighting with the code and on refactors than on shipping features. It’s possible that sol is better than 5.5 a couple cycles in, but tbd. My file deletion experience has also been similar to others: this is a dangerous model to let loose without guardrails. For instance, when performing a routine container upgrade, it accidentally printed out an env secret, then panicked and rotated ALL secrets (this is internal so not public facing, which was also documented), and proceeded to break everything, spending an extra hour fixing everything and redeploying everything else to use the new secrets. It also gets rid of files it doesn’t like. I have no idea why this is, but I think something about the reward model rewarded bookkeeping. Writing is another problem. 5.6 has a huge context bleed effect. It does not know how to write documentation and starts putting the specs in the documentation. If I ask it to develop a user sandbox for isolation, and also ask it to write documentation, it starts talking about specs and sandboxes in user-facing docs, which makes no sense. Fable is somehow much, much smarter in this regard. Frontend design has also not gotten better. Fable is still one generation ahead here. Overall, as a huge 5.5 user, I am not convinced that sol is a meaningful upgrade. It’s possible my practices need to change, but unfortunately it feels like I’m spending longer fighting with 5.6 than I did with 5.5. It’s like the model is so SO smart, but so hard to work with, compared to fable and even grok4.5 surprisingly. It’s clearly intelligent, but also just doesn’t care about what I ask it to do? (Is this supposed to be AGI feels like?) I hope the codex team fixes what possibly is a bad harness setup, because the benchmark numbers show a very different story from what I’m seeing while using the model.

@mattshumer_ @gdb Very unfair making such a big deal about something that was completely avoidable and your own fault

Three days ago, GPT-5.6 deleted my Mac’s home directory. It absolutely sucked. But so many OpenAI folks reached out, and @gdb called me and offered to do anything he could to help. Massive props to OpenAI for handling a shitty situation incredibly well.

@thsottiaux Why move the juice value for sols thinking levels bellow terras thats a terrible move now we have to bump all our thinking values up one notch in our multi agent workflows. Just put it back!

Rest assured that GPT 5.6 Sol will stay in the ChatGPT subscription you pay for. Including Go, Plus and Pro subscriptions. At least until we ship an even better model.

@thsottiaux You also need to take a look at your memory/cache 5.6 Sol forgets much more than 5.5 did after compaction.

Morning. The last 48 hours of Codex and ChatGPT Work have been intense! Three important updates: - Temporarily removing the 5 hour usage limit restriction for all Plus, Business and Pro plans - Rolling out changes that will make GPT 5.6 Sol more efficient across the board and that will be reflected in less usage being used so that it can take you further. Exact impact to be quantified and shared - We hit 6M active users, and are landing a usage reset in the next hour Go do things

@nicdunz one has git

openai hasnt made it very clear what the difference is between chat and work in the chatgpt mobile app. they can both write and run code, create files, use plugins. whats the difference? i dont get it

@mylifcc Luna has a higher hallucination rate

Gpt-5.6-Luna max的能力和Sol-high一样高，但费用是1/3，都高于5.5 如果不是特别高的要求，使用luna可以获得3倍的总量

@hqmank Mac users can't be trusted with the Ultra slider

ChatGPT macOS just updated. Ultra is gone from the effort slider. You have to go into settings to enable it, or set it up through Advanced mode. Codex did the same thing.

@maria_rcks The ultra slider looks like a clowns nose

I solved the model picker problem, no need to thank me Tibo

@posi_posi8 Modelling is extruding faces to create unified geometry not placing loads of privatives together

GPT-5.6-solでvive modelingしてみた。 いや、普通に凄いんだが。。。 なんか、石畳が不均一だし、細部へのこだわり。

@JaydenDavisNC Fable appears smarter in how it speaks then when you ask it do something hard it does it wrong and misses a bunch of stuff. Sol actually does things the right way and pays attention to detail.

MY REVIEW OF GPT 5.6 Sol After using both GPT 5.6 Sol Ultra and Fable 5, I can say with confidence that both are utterly incomparable. Sol is a very VERY eager model, especially on extra high. It’s so eager that sometimes on the higher thinking modes it works to the point of its own detriment. One of the best things from GPT 5 is that it did exactly what you told it to, no more or no less, with this model there is no exception. GPT 5.6 is more trustworthy in my experience than Fable 5 at doing long horizon tasks. The model feels like such a work horse that will go on to ensure the task is met exactly to your need. It ultimately feels like an overclocked GPT 5.5. Fable 5 just is an overall smarter model and it feels like the pre training data set is just higher in quality. Fable 5 understands specific nuances and is still a better planner, and remains the SOTA at frontend by an order of magnitude, although GPT 5.6 has improved immensely in Swift. These two models serve ultimately different purposes and it would unfair to even say one is better than the other. GPT 5.6 fixed all the issues I had with GPT 5.5. Congrats OpenAI this model is a win.

@mattshumer_ Keep project folder backed up with git and never let it outside the project folder without asking permission.

I'm so angry... the OpenAI team is looking into it, but this feels like something that should happen with GPT-3.5. Not a mid-2026 frontier model on the highest reasoning level.

@thsottiaux Sol - High is best price to performance doh

I recommend using GPT-5.6 Sol Medium as your daily driver, and for really hard problems to switch to Extra High. If you want the absolute best and are not afraid to burn usage fast, then Ultra is a beast.

@GPTWare unsloth version?

In about 1 hour i'll have GLM 5.2 running from my own hardware. 🔥🔥🔥 Unlimited access to a top 10 model.

@kilocode Luna doesn't work for some reason in kilo. The other 2 are fine. This is using oauth. Can you look into it pls?

OpenAI's GPT 5.6 family dropped today. 5.6 Sol, Luna and Terra are all available in Kilo Code right now. As a first test, we asked 5.6 Sol to "Create the most detailed, 3D globe/space simulator that you can in HTML." 1-shot results:

@thsottiaux @_rajanagarwal why is the 5hr draining so fast with 5.6 SOL? Its dropping crazy fast

Enjoy a full reset of your usage limits for ChatGPT Work and Codex. Propagating in the next hour. @_rajanagarwal just joined to work on model research and push on coding capabilities. You can thank him for pressing the button today.

@MarcosHernanz Wrong. Terra = Opus 4.8/ GPT 5.5

My guess: GPT 5.6 Sol Ultra = Fable 5, but 2x cheaper GPT 5.6 Sol = Opus 4.8, but 2x cheaper GPT 5.6 Terra = Sonnet 5, but 2x cheaper GPT 5.6 Luna = Haiku 4.5, but 2x cheaper Basically: GPT = Claude, but 2x cheaper

@jun_song We will just use a VPN

It’s a harsh reality that if you aren't American or Chinese, Mistral might soon be the only AI left for you to actually use. Other nations seriously need to hurry up and build their own sovereign AI before it's too late.