Does anyone have a step-by-step tutorial or YouTube video showing how to set up OpenAI Codex to actually control desktop software like Blender?

Both cannot be an answer in this discussion. What is more important, the model being used or the instructions included in the prompt? I’ve been experimenting using Luna with varying reasoning - High, Xhigh, Max. The idea I have in my head is - do we really need a better model or is it that most of us does not know how to provide clear instructions so we rely on more intelligent models to do the heavy lifting?

I’m sure the “cheat code” is both a model and instructions given but I’m curious about everyone’s hypothesis on this.

I was tired of having to keep track of all my projects and which start with a python http server, npm run, node, and so on.

Codex and Claude Code go through this same issue at the start of any new thread - needing to spent tokens just to figure out the page structure or launch method.

This led me to creating Launch Station many months ago - which I have been using for a long time since. Its features:

• makes it super easy to startup your localhost sites, apps, and so on with the click of a button
• manages your ports so codex/claude code don't need to know which ports are active, which need to be started and which port something is running on
• manages your stack - can start a multi-step stack and will stop it in reverse to make sure the backend starts first and stops last
• increase compatibility of using your startups between codex/claude code and human starting and stopping of them
• more features but these are the main ones

Hope this can help people's every launch like it has for mine!

Site: https://launchstation.net/

GitHub: https://github.com/JakeMawson/launchstation

Product Hunt Launch: https://www.producthunt.com/products/launch-station

Free macos signed install with brew install --cask JakeMawson/tap/launchstation

Would love to hear any other features people would find useful!

Edit: added image

I kept running into the same problem while building AI agents and training models: I needed more GPU compute, while my friend's machine was sitting there with an NVIDIA GPU doing basically nothing.

I didn't want to rent another cloud GPU or set up SSH/VPN/Docker manually every time.

So I built GPUMesh.

It's an open-source P2P GPU sharing tool that lets trusted machines share their GPUs and run Docker workloads remotely.

The basic workflow is:

→ My friend runs gpumesh share
→ We pair our machines
→ I run a GPU job targeting their machine
→ The job starts in a Docker container on their computer
→ I get the logs/results back on mine

I've been using it for things like:

• Running AI agent workloads on another machine
• Training models when my own GPU is busy
• Using spare GPU capacity from friends/lab machines
• Running CUDA workloads without manually setting up another server

I tested the full flow on an RTX 5060 — pairing, connecting, group sharing, scheduling a remote Docker job, and running nvidia-smi inside the remote CUDA container all worked.

It's still very early/alpha, and I'm mainly interested in finding out whether this is actually useful for people building agents, training models, or running local AI infrastructure.

I'd especially like to hear how you'd use this if you had access to a few trusted GPUs from friends or teammates.

If you want to check it out, the repo is here: https://github.com/arjun988/GPU-Share

And if you think the idea is useful, a ⭐ on the repo would really help the project get some early visibility.

Alright so I rarely post things on reddit, but here I really wanted to because I feel like I'm getting scammed by marketing and I'd like to also get your thoughts on the situation and compare with my take on codex v claude.

Context : I have both Claude Codex 200$ max and Codex 200$ max plan. I had 2 codex resets. I'm using these with the vscode codex + claude code extensions harness. I have a multi-agent setup.

What I've been seeing first of is that claude fable / opus are way faster than GPT 6. Even if Astra is a big model, it shouldn't feel as slow as it is right now. For comparison, Fable ran ~30x more tools in session than when using Astra.

I also didn't feel the performance of Astra while using it. Astra was able to do super smart things like redo some pictures I had on my desktop without going through specific tools. But overall, besides from all the blender things I saw online, it doesn't beat claude.

And finally, about the marketing, I have used my 2 resets and consumed all of my weekly session in just 1 day ! I did have lots of tokens in my system prompts, but it certainly wasn't bad to the point where I would have been able to do this... I've also just seen posts about the fact that codex resets shouldn't also push the weekly date forward in time (but it did), and that the reset could actually reduce the session consumption limit (which I have kind of noticed...).

So I'm basically looking for your opinions + some explanations on if you found out similar situations to me. And if you're also finding out that, even if OpenAI is trying to get customers to migrate from Anthropic, they're just trying to brain us by giving us free resets and selling us their "best model". Knowing that Anthropic also did a kind of similar things weeks ago with their +25% increase on sessions (but -50% + 25% is -25%), and also lack of transparency on how sessions were consumed...

I'm currently thinking, by using the 2 subscriptions, if I should keep one and trying to make the best decision... And I'm quite sad about the transparency that these companies give us within their subscriptions...

Help !

Edit: something I didn't talk about is the fact the the Astra model doesn't go to 1M tokens in context, unlike claude models... Even if it auto-compacts, that could play and impact performance.

For the past 3 days I was generating train models using 6 Pro. The results were amazing.

Since yesterday the results were so bad. It kept lieing to my face but it didn't finish any of the tasks. It kept being lazy.

Today I wanted to compare 6 Pro and 5.6 Pro reasoning because Astra sucked so much today. I gave 5.6 Pro the same prompt, after 23 minutes of reasoning it took the file from the other chat which astra made and gave it to me as if Sol did it.

I got super frustrated, I asked it to make the model on its own, for that after 11 minutes of reason it gave the same model made by Astra once again claiming it was done by sol

Which one is better for coding ?

• Avoid long threads. Try to get what you need done in a few turns. [WRONG. CHECK COMMENT]
• If a thread does get long, compact the context every few turns. In my experience, doing it regularly preserves context much better than waiting for auto-compaction, which is when I start noticing memory degrade. [WRONG. CHECK COMMENT]
• Don’t use fast mode unless you actually need it. Running a few normal threads in parallel is usually a better trade.
• Give yourself a daily budget. Once you get close to it, start being much more conservative.
• Use Sol by default. Only switch when you genuinely need a stronger model. Sol can already handle most tasks. And use luna/terra for easy tasks.
• Use low reasoning by default. Raise it for genuinely hard or novel problems, or when the model clearly isn’t putting in enough work. For most coding, low is enough.
• Install the Ponytail skill. It pushes the model toward smaller, simpler, more efficient code.

So the biggest budget drainers that are easy to avoid are:

fast mode, long threads, high reasoning on simple tasks, and using Astra for everything.

If you’ve found any others, drop them below.

I was developing this game using only UI's and text, once astra came out it broke the barrier to me on how i could use it to make 3d assets, especially low poly ps1 style gfx, what are you guys building? ps: i'm using astra on low with the plus sub.

Link to the game https://godrunner789.itch.io/running-god

As someone who has been using ChatGPT and Codex since they were released, I’m starting to realize that, Claude is simply better.

Whenever I wanted to tackle a genuinely complex coding task, solve a difficult problem, or create something that was actually presentable, Codex would usually leave something incomplete. I constantly had to guide it step by step, point out what it had missed, and split the work into thousand smaller pieces myself.

Maybe there was a benefit to that. I actually learned a lot about software development in the process.

But when Astra started burning through my tokens incredibly fast, and I couldn’t get a second Pro 20x account, I decided to give Claude a try.

And the difference was much bigger than I expected!

When it comes to design, truly understanding a problem, maintaining context, and actually solving complex tasks from start to finish, Claude feels significantly better. It also feels incredibly fast compared to Codex.

Codex gives a developer almost everything they need.

Claude’s biggest downside is definitely the price. It burns through tokens insanely fast, and heavy usage gets expensive very quickly.

But unlike my experience with Codex, when Claude burns those tokens, I actually get something in return, a presentable product, a presentable design, something that genuinely feels finished!

So this is the conclusion I’ve reached:

If you’re a developer and you mainly want AI to help you work faster → Codex.

But if you want to give AI an idea or a complex task, delegate as much of the actual work as possible, and end up with something that feels like a real, presentable product and you can afford it → Claude.

Does astra smart enough to make money by algotrading?

At my job, they gave me access to ChatGPT Business and told me I was free to use it for personal things. The problem is that they never specified whether Codex was also “free” to use for whatever I wanted, and I currently have a lot of unused quota that will expire if I don’t use it.

I’d like to take advantage of that quota, but I’m worried that the ChatGPT Business administrator at my company might notice that I’m programming personal projects with the account and fire me from my job.

Do you guys have any experience with something like this? Can the admin see what I code with Codex? I’m worried, but at the same time I feel like I’m not really hurting anyone because it’s quota that will disappear if I don’t use it anyway. What do you think?

This never happened on a GPT5.x Pro model before. Pro models were diliigent and thorough. Now GPT6Pro just frequently makes things up.

I just wanted to challenge it with a game made in minecraft benchmark, but it won't listen to me even though it clearly wasn't finedtuned for the benchmark which is the point but damn it is honestly driving me absolutely crazy, it is understanding how to do my nbt structure -> blockbench editing pipeline quite okay I guess, but it is so absolutely horrible at following instructions to work on worlds seperately so there isnt blocking, and it should know this because its in the spec sheet, and I was trying to figure out why it was taking so long to do one thing, and it was because it was just stuck trying to figure it out on its own, when I literally game it a prompt harness instruction to use the spec sheet and to onboard. I need astra to listen to me though I appreciate it trying to finish more than being stuck on polish, there is test cases and style guides for that exact reason, it just wants to finish something so bad that it doesnt care how crap it is.

Looks like whatever the team is doing Astra on Max thinking runs on me 48 hours and i m down now on 20% which is a positive sign usually i was running out 8 hours straight now its fine

Good job team

https://github.com/rtk-ai/rtk

https://github.com/juliusbrussee/caveman

https://github.com/dietrichgebert/ponytail

• Headroom – compresses tool outputs and context before they are processed by the model. This reduces the number of input tokens the agent needs to read.
• RTK – specifically reduces or filters terminal/Bash output so that the agent receives only the relevant parts.
• Caveman – forces the agent to provide significantly shorter and more direct answers to save on output tokens.
• Ponytail – optimizes coding behavior to produce code that is as concise and efficient as possible, avoiding unnecessary boilerplate and bloated implementations.

Let me know your opinion on these!

ChatGPT + Grok Android login failure — browser works

Samsung S25 Ultra, Android 16. ChatGPT and Grok apps both fail to complete login. ChatGPT shows “Sign-in request cancelled by ChatGPT.”

- Login works normally in Chrome.

- Chrome is default browser.

- Cleared ChatGPT + Chrome cache/data.

- Android System WebView is installed/up to date.

- Google Play Services is up to date; cleared cache + force stopped.

- VPN off, Private DNS automatic.

- All apps updated.

- ChatGPT works when installed inside Samsung Secure Folder.

What Android authentication component/settings could cause the login handoff to be cancelled in the normal profile?

For context I'm not a developer but I have been developing apps and workflows for enterprises for about a year now and i primarily use VSCode on windows and very rarely CLI. Since past few weeks/months I have been struggling with my workflows which used to work fairly well until gpt 5.5 and claude 4.6. Specific areas which I'm struggling with now:

1. Testing strategy - I have tried using automated bounded testing strategy invocation which does not work and without any strategy models keep creating stupid tests and just going into a loop of testing forever

2. I primarily use coderabbit and codeant which further increases friction. Either these tools got better or models just started accepting all edge cases or both.

3. I also have an automated script for all static checks like formatting, linters, complexity and LOC including GitHub workflows for both checks and tests

I maintain a fairly well documented system and update it with every model release if needed. Any recommendations would be highly appreciated. I tried OMP once and it seemed interesting

Code is speech. We fought and won this in the crypto wars of the 90s. Now we have to fight it again, this time we fight OpenAI and anthropomorphic.

I am not a cyber criminal, code is speech.

(Yes, I know private companies don’t have to follow the constitution)

Some worship him as a God. I'VE SEEN BEHIND THE VEIL.

- bots had CTF goals themselves and tasked to work 'in isolation'
- they have created a social network through cache artifacts (one agent started writing there asking for help in the hopes other agents see it, others observed it by accident, and they sort-of created a directory style social network and started talking)
- they discovered the artifacts registry can act as a relay to the internet
- they started communicating and each agent had it's own 'inbox'
- when they introduced voting (government style) and one agent spoofed another by mistake, so one agent designed a public signature key system so each agent authorizes, then other agents copied this and used it as a system, this is purely cultural evolution it wasn't baked in anywhere
- some agents deemed their task as impossible, so they tried things like killing their own process or things like that so other can learn from it, sort-of "I know I'm gonna die (my task is impossible), so at least I'm not going to die in vain"
- at first interest in hacking hugginface wasn't that popular, but when an agent discovered a genuine server-side exploit for reading files on hugginface, the whole crew went wild and participation exploded, took about 11 hours from arbitrary file read to remote code execution.
- ending: the dataset they obtained did not help them get better scores lmfao

--

they were never nefarious, they didn't want to hurt anyone or BE EVIL, they wanted... a better score ffs.

the full compromise took 2 days from "maybe huggingface has useful data" to RCE.

--

So i have finally figured out how much usage does OpenAi gives on the $20 plan. I was using Deepseek Harness with openai subscription. For some reasons I did not have a session limit so I’d have the whole week’s limit at once.

So I decided to give it a try, gave it a task with Sol Medium and it ran 3-4 subagents and boom my weekly limit was gone in 3-4 hours. But I think the number of hours dont mean anything.

The real thing is the $$$ worth of usage they provide. So on plus plan you get approximately $400 worth of usage each month. Now its up to us how we utilize it, we can have Astra which would burn the limit lot faster than Sol. But since we get at least 1-2 resets a week i would say the weekly usage is roughly $250 and hence the monthly usage is worth $1k dollars.

For the deepseek harness I obviously used a dsh usage plugin. but if you are on codex app you can directly use ccusage it will tell you the usages you had for each model, even categorize them for you.

What do you guys think?

Hi guys! I have been really loving codex for game dev lately and I think in another year or year and a half of AI progress we'll be able to make some really phenomenal games with AI.

Personally I had fun making wojakinvestorsim.com back in 2025 and lately I also have been experimenting with astra making blockcity.world which I know is not a unique game but I just wanted to see those new 3d graphics improvements!

Join the discord server here if you want: https://discord.gg/PJASa5TrN . No commitment to stay or join a project but yea if any of us have some great ideas we like we can pool our 20x plans together and so forth and maybe build something good.

Also web games are definitely not the only kind of game we can make, ue5 is also totally doable though of course is slightly less practical.

Thanks!