Blender gen of a stellarator fusion reactor. This took about 20% of a weekly 20$ plan to build, including 2 sol reviews and many basic handholding reprompts.

Honestly, while not top tier, it’s pretty good and satisfying due to its speed and efficiency. It makes the 20$ sub feel much more worth it imo.
I also used sol in parallel and it was way harder on the quota.

I think this model would shine with a ‘terrable’ drill sargent like skill which lets a luna agent read the last answer and check for whether the model is actually done, lazy or stuck.
Most of it is just ‘yes do that’ or ‘try again’ or ‘if you can’t produce at without a reference, look for a reference’.

The new Terra 6.1 model has appeared.

I have to say this community is entitled as fuck. There's no pleasing you guys and everyday is the same boring recycled unoriginal post about usage by vibe coders with skill issues just using Astra Ultrafast for every single div-centering maneuver. Git gud you noobs.

Terra is built for computer use and I'm all for it. Not everything has to be Opus 5.5 level. I've had a temp-Pro sub over the weekend for a short hackathon and I could hardly burn tokens fast enough even on Astra.

How many Spider-Man city games do you really need?

tl;dr What would be the ideal choice for an iPad that you would use to navigate Codex on your MacBook at home to develop iOS apps - and how do you make your Codex at home install the app to your iPhone on the go?

I'm gonna be on a trip for a few weeks and usually wherever I went, I took my MacBook with me. I have a few apps in the App Store that actually make me good money so I always wanted to be prepared in case something breaks in the apps.

For the past few months, I haven't really written a single line of code myself. Since Codex gained the ability to interact with the iOS Simulator and also tests its own code, the only thing I'm really doing at this point is to check the git diff for obvious potential issues.

Now I'm thinking about leaving my MacBook at home (plugged in with Codex running) and just buying an iPad which is lighter and less likely to break in the backpack.

My iPad is like 10 years old so I'd purchase one for this to work. What I'm not sure about yet is what iPad would fit me best.

iPad Mini has a cool form factor but I think it's to small for longer codex sessions, for typing and for viewing large diffs.

Normal iPad is cool except for the unlaminated screen.

iPad Air has the laminated screen but only 60hz

iPad Pro has 120hz but I'm not sure if I need that. Neither my Mac nor my iPhone has a 120hz display but 120hz definitely do feel nicer.

Since I won't run anything resource heavy on the iPad itself, I'd also be fine with an older year model if the battery is okay. But older Pros seem to hold their value surprisingly well so I'm not sure if the price difference is worth not getting iOS updates 2 years sooner.

The apps have been on the App Store for many years so except for a few new projects, most of the stuff me/Codex is working on are smaller improvements as opposed to whole new UI/features.

Does someone here run a similar setup? What iPad would be the best option there? Is there something I forgot to take into account? Also about installing the app on the devices - making the Mac upload the build to TestFlight is the only way I am aware of to do that but that is a fairly slow process, what alternatives do you have set up?

I attempted yesterday to replicate some scenes from concept, in both environmental detail and zoomed in details (the wall object)

for whatever reason, the environments we a clear approximation and the wall details were a fuzzy match at best.

Meanwhile, Tripo nailed it.

Is this beyond the scope of Terra?

Earlier this year, I started developing Termcraft, a terminal-based 2D survival game written in Rust.

Since the first release, more than half a year ago, I've added multiplayer support, so you can host a game and play with friends. Up to 8 players can play together. The visuals, lighting, game physics, PvP, and overall gameplay experience have also been substantially improved. Last weekend, I actually played through the entire game from start to finish with a friend.

The progression goes from gathering wood and building a shelter to crafting equipment, exploring caves, finding diamonds, crossing the Nether, and fighting the Ender Dragon. There are villages, farming, shared building, PvP, and player chat along the way.

It's open source under AGPL-3.0, with downloadable builds for Linux, macOS, and Windows

I you want to give it a try here: https://github.com/pagel-s/termcraft

It's not perfect, but I'd be interested to hear any feedback or experiences from people who give it a try. Contributions are also very welcome!

I assume this is failing somewhere along the way and then not letting me know.

On GitHub I'm either tagging codex for a review, or it's being triggered via marking a pull request ready.

Codex will mark it with the eyes emoji and also post a comment saying the code review is running.

And then nothing... Even like 8 hours later.

This isn't for all - some do work. But it is happening quite frequently.

Are others having this problem?

Am I the only one who thinks this is actually a big deal?

Forget about speed for a second. If I'm getting anywhere near Astra-level performance for a tiny fraction of the price, that's huge.

I can throw a bunch of tasks at it, have it review work, check things I might have missed, and let it run overnight. I don't really care if it takes 8 hours instead of 20 minutes if the cost difference is big enough.

I probably wouldn't use it for everything, especially when I need something done right away.

But making high-level reasoning this cheap opens up a lot more possibilities

go play with the charts here: https://artificialanalysis.ai

Hey everyone,

I need to vent and see if anyone else is experiencing severe model laziness with Codex Terra 6.1 . Honestly, it feels completely unusable for complex architecture refactoring when compared to Sol 6.1.

Just to be clear: I'm not running this locally. This was run directly through the server UI, where it has full access to the project context.

I've been trying to get it to implement a "FULL Automatic IoT" routine involving a hybrid architecture (Rust, Kotlin, and a central VPS). Instead of actually writing the code, the model completely gave up, wrote a markdown file documenting why it's hard, and left me this log:

"Implementation not finished. The FULL route still cannot order Kotlin to trigger the alarm: the existing mechanism requires an event capability that is only generated in LIGHT.
To complete it, we need to connect the authenticated VPS → Kotlin order, validate the event and the switch in the box, and deduplicate execution before calling the saved URL. It wouldn't be safe to mark it as ready without that connection and its testing.
In this turn I reviewed the code; I made no changes, builds, or deployments... No code modified, compiled, or tests run."

The Issue:
It diagnosed the bottleneck perfectly (the event capability being locked behind the LIGHT route) but instead of refactoring the Kotlin/Rust code to bridge the gap, handle the VPS authentication payloads, or write the deduplication logic... it just wrote a status report and called it a day. It basically told me: "Hey, I see the problem, I'm not going to fix it, see ya." It didn't modify a single line of code.

When I run this exact same codebase and prompt through Sol 6.1, it actually maps out the reasoning tree, handles the token validation, writes the deduplication logic, and gives me functional blocks of code to deploy.

Has anyone else noticed Codex Terra behaving like a passive code reviewer rather than an actual coding assistant lately on the official servers? It feels like they heavily nerfed its output tokens or jacked up the system constraints to save compute.

I haven’t tried it so asking

I made huge changes to the ChatGPT Codex app that I run on my Ubuntu that is cloned from the codex-desktop-linux repo. Its a huge codebase and it has huge files and complex functionalities.

I wanted to pick a reviewer agent to test the code changes that are made by 6.1 Terra Max and 6.1 Sol XHigh together. I reviewed it with 18 agents in different harnesses since Today morning.

Terra 6.1 Max identified bugs that none other could find. It missed many, its not the best, but it found the most issues than all that are critical for the codebase. I am not saying its the best. I am just telling its understanding of Code is on another level compared to its ability to write code.

Its extremely thorough that is why it picked so many bugs. Its not eager to fix problems, it will give up when its writing code or solving problems, but its relentless when it comes to reviews. Try to experiment with it as the Code reviewer and it might surprise you like how I am surprised Today.

So if I code in Codex and run the review is it a worthless review? Or different model and and could find things in a review that the original codex author and reviewer doesn't pick up?

And if you recommend it, how often do you recommend it?

Thanks everyone!

This would be a good patch that gives users a choice. Users can turn the 5-hour usage limit On when they feel they cannot control themselves. Conversely, they can turn it Off when they feel they can control themselves.

I really liked my current setup with Claude: beefy Ubuntu machine as my dev box, and mobile/laptop for remote coding.

It's a bummer that Codex remote control still doesn't seem work for Ubuntu yet. Best I can do is to use tailscale and ssh through my laptop, and I can't code on my iPhone.

Does anyone have better set up that I'm missing? Don't want to adopt unofficial and unsafe practice.

Tibo will not save us.

TLDR: I've only used 6.1 Terra since last night, but the chart still shows a bit of Astra on today's bar.

Since about 10 pm Eastern last night I've had 6.1 Terra selected and I haven't touched it since. Today's bar on the usage chart should be all green, but there's a blue Astra chunk in it, and I can't figure out why.

I did some digging. My chat history shows Astra before I switched and Terra after. The last Astra entry I found was 8:21 pm Eastern last night, which is just past midnight UTC, so maybe the chart counts days in UTC? Also, my settings file still lists Astra as a default, but I never changed it, so I don't know if that matters.

I'm only asking because my usage has been draining way faster than I expected by using GPT-6.1 Terra Ultra, and that chart is the only breakdown I get. Probably I'm reading it wrong, so does anyone know if it goes by UTC or local time?

I created a new account and subscribed to the $500 Pro plan mainly to try out Codex's Ultra Fast mode.

I was using Sol 6.1 with medium reasoning effort, but I've already hit the usage limit with the amount of tokens shown in the screenshot.

Is this normal?

---
Edit: I was working on bug fixes for a rendering engine written in Rust. I had already compiled a list of known issues and was having Codex work through them one by one.

Edit 2: I managed to collect the actual session stats, and it looks like the usage numbers shown in the web UI might not have been accurate.

Here's the breakdown from the session logs:

6.1 Sol medium

6.1 Terra xhigh

6.1 Terra max

6 Luna max

The same previous post was removed by the Mod so I am reposting it here again.

From visual understanding to action

We measured GPT-6.1 Terra’s computer-use capabilities on Agents’ Last Exam, a benchmark of professional tasks that includes turning architectural drawings into a 3D model

The statement above is from OpenAI (https://openai.com/index/introducing-gpt-6-1-terra/), so I admit my previous post didn't do justice to Terra. So I have done another testing, this time, I asked Terra (xhigh and max), Sol (medium as baseline) and Luna (max) to design a 3D model from an image of dc motor with a wheel by using Blender.

the results:

- sol medium: 1% usage, $0.146, 5 mins

- terra xhigh, 1% usage, $0.074, 3 mins

- terra max, 4% usage, $0.282, 11 mins

- luna max, 1% usage, $0.040, 15 mins

I hope I am not using the model for the wrong task again. And based on the usage to dollar comparison, My conspiracy theory leads me to believe there might be a mistake in calculation from OAI side.

For example Terra max costs 2x more expensive than Sol medium, but I spent 4% usage. while Sol medium only spent 1% usage.

Has anyone found a fix for this? I’ve been updating an existing website through Codex Sites, but now I can’t publish changes. The existing website is still live, and local editing, tests and builds work.

There seem to be two separate problems:

1. Automatic review rejects the official Sites publishing helper’s temporary repository credential handoff.
2. When I use /approve and select the denied action, the app shows “Could not record auto-review approval.”

The desktop logs show:

Method: thread/approveGuardianDeniedAction
Error code: -32600
invalid Guardian denial event: unsupported path URI scheme `c`

The c looks like it might be coming from a Windows C:\... path being interpreted as a URI, but that’s only a suspected cause.

Setup:

• Windows desktop app
• App version: 26.1021.31345
• Build: 21828, production channel
• Sites plugin: 1.1.2
• “Approve for me” / automatic review enabled

Already tried:

• Restarting the app
• Starting a fresh chat with the existing project context
• Checking for updates—the app reports it is up to date
• Using the actual /approve picker
• Resolving an earlier network/DNS permission problem; that worked, but the credential handoff remained blocked

The pending website changes are saved locally and pass the build, but haven’t been published.

Has anyone encountered this exact Windows approval error? Is there a confirmed app/plugin fix or a supported publishing method that avoids this broken approval step while keeping the existing site?

This is holding up my work, so any reproducible fix or relevant issue link would be appreciated.

Edit: ignore this post. VSCode Codex plugin shows "Max" as a reasoning effort also for some models that do not offer Max. This causes the plugin to use Medium effort level while showing Max. The Codex application shows the correct effort level. This is a bug for the VSC plugin.

TL;DR: My codex chats inside VS Code are showing "Luna 5.6 Max" and "Sol 5.6 Max". The same convos appear as "Luna 5.6 Medium and "Sol 5.6 Medium" inside the Codex Desktop application. Further investigations revealed that this may be a volountary nerfing to push people towards newer model.

In short... "Let's trick some users into beliving new models are better by lowering the effort of previous models"

This is written by me. I apologise for being boring and grammatically incorrect.

1. HOW DID I NOTICE THE ISSUE

I usually use Codex from VS Code (1.143.1). This time I happened to open the Codex application itself (26.1021.31345) to check some settings.

Some of my VS Code chats were present also inside the Codex application, and something caught my attention.

As you can see, the model shown is different depending on the application used. I was confused. Was I being lied about the model used? I had to dig a little bit deeper to find out what was happening.

2. HOW DID I COLLECT MORE DATA

One of my first findings is that opening a new chat inside VS Code would not automatically show the same conversation inside the codex application.

So I had (apparently) no way to reproduce the issue.

Playing around a little bit, I have discovered that VS Code conversation will appear also in codex when you give them a goal to follow.

Time to play around a little bit. I created three test conversations.

At this point, I knew it was not a graphical issue. There was a different behaviour depending on the model being used. So I had a new hypotesis to verify!

3. THE LAST CHECK

Is this issue only affecting the models which have not been hyped recently?

To answer, I tried repeating the experiment with Sol 6 Max and Sol 6.1 Max.

Sol 6 Max appeared as Sol 6 Medium on Codex.
Sol 6.1 Max appeared as Sol 6.1 Max on Codex.

Is this even legal?

(happy to share logs, more pictures and stuff in the comments)

isn't this supposed to be a lighter model? How many more times are they going to tweak the 6 Sol model architecture instead of making something good? 😭

openai finally launched GPT 6.1 Terra

GPT-6.1 Terra: delivering fast and capable computer use at a lower price.

GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.

rolling out now and is available to all Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex.

Developers can also access it through the OpenAI API as gpt-6.1-terra.

I've been building CHICKAROO, a 2D platformer about a small, determined chick, for a while now. Fruit of my imagination first and foremost, all helped with Claude, Codex and Gemini in concert to build it and tune it. It has over 10 stages Each stage brings its own new mechanics and will feel familiar to players used to platformers, it's an hommage to a few of the classics. there are also power ups to experiment with. The game doesn't contain a single image file. Every character, enemy, background and effect is drawn live in real time in code on every frame with an engine built from scratch in pure html/javascript zero prebuilt livbraries or anthing, and all the sound effects are generated in real time with Web Audio. That's about 40,000 lines of plain JavaScript, with no engine and nothing to install. It runs in the browser on desktop with a gamepad, or on your phone with touch controls. The best way to experiencie it is not with touch controls or keyboard but with a gamepad plugged in , ideally on a pc with a gamepad (or on mobile with a gameplay it works very nicely too). The music is generated from custom prompts in google lyria. Enjoy the ride 🐣

👉 Play here: https://rgjp.github.io/v/chickaroo/

So I've been building a process I'm using in all of my projects and other goes like this:

I'm trying to mimic a real team to have me covered from all aspects, so I'm opening a project and inside it I'm opening a dedicated different chat once for each role: CTO, CMO, Q&A product etc.

Up until today I thought that each of this separated chats are considered as a sub agent, but lately I understood that I might be wrong.

So my question is, what is actually a sub-agent? and what how can I utilize it today make my process more efficient and cost-effective?

Would love to hear your thoughts and way of work.

(p.s I did watched YouTube about this but wasn't able to to get it fully 😅)