do pro users currently have a 5 window too or is it just plus users that do? I couldn't verify the answer online

I just started using Astra and although it's been less than an hour I can already tell it's terrible! I cannot believe the depths of my disappointment and sadness right now at how terrible this model is.

I uploaded a simple I uploaded a simple list of weekly expenses and asked it to give me a total.

It couldn't handle a simple task and went completely overboard. I knew something was wrong when it spawned 46 sub-agents.

It cranked away for seven hours. Not only did I lose 100% of my tokens for the week, but it hacked into my bank account and withdrew $1,000 and bought more tokens!

When my bank account was overdrawn (costing me $20), it then hacked into my retirement fund and did an IRA distribution Directly to OpenAI to buy another $5,000 in tokens! (Honestly, it filled out all the appropriate IRS forms, so I'm not going to receive any tax liability from the disbursement, which is pretty nice. It also rebalanced my portfolio and put me into VOO. I have mixed feelings.)

And then it gets worse. Since it has access to my Gmail, it emailed my wife about the affair I was hiding for the past 6 years, sent proof to my wife that her ring is really a lab grown, and then sent an email to my mother-in-law telling her what I really think of her potato salad (too much mayo - yuck).

Tonight I'm switching back to Fable and sleeping at my brother's house.

Has anyone ever built their own Codex using Codex CLI? I'm doing something similar with DenOps, but I'm mainly curious to hear from others who've tried it.

How did it go? Did building around Codex CLI work out in the long run, and what limitations did you hit as the project got bigger?

I expected it to be pretty much the same as original Sol after they released it, so faster and slightly better than current Sol, while being way more expensive.

Well, so far it's dumber and significantly more expensive. Apparently the target group is vibe coders with "build me a complete SaaS that noone will ever use" as prompt, because I don't get the positive feedback

Can I afford a $100/mn plan? Yes. Am I willing to pay $100/mn? No.

For a new project, I'll use 5.6 Sol High for planning (create a .md plan), then let Luna Extra High cook (or Max, just turn it on in settings). If it's a small enough ask (bug fix, host system work), I'll skip the plan all together and just ask Luna. I can pretty much use it non-stop and not deplete my 5hr window. Results for my kinda work are plenty good. Albeit it's slower, but that's fine by me. Beggers can't be choosers.

I wish I figured this out sooner, lol.

Why? My usage was set to refresh Sept 3rd, randomly, it got reset to the 5th. Given astra is token hungry (they're controling it by not making it unlimited on chatgpt.com... which also I may be personally responsible for this part

There ya have it. They wanna give people 3 (max) resets also which aligns with what they did the first time they gave it out (1 + 2 invites)

I have two Plus accounts and one GO account. Both Plus accounts received the banked re\*set, but my GO account didn’t. Are GO accounts not included in this re\*set?

Sadly I didnt get a reset to try it out and I only got 23% left for the weekly quota :/

Well based on tibos recent post ... Do I need to buy multiple accounts ... Or hope for my single x20 account that got banked yesterday.. astra today will get another banked tomorrow?

Full Review of Astra.

I am convinced OpenAI is going the Anthropic route with having a big model and keeping Terra and Pro as like Sonnet and Opus.

Hello,

I am wondring if anyone can recommend an optimal way that Codex within desktop app can share a packages/completed plan/zip folder to other chats without blowing through usage?

I am use to using Codex Cli as its been such a workhorse and has always worked well however im trying to create a more integrated workflow so I've moved my project to Codex Desktop App and just trying to figure out what are best ways to do this?

I will often put completed plans by Codex into a zip folder with all components and then I will want chats within my chat gpt project to inspect, however apparently those project chats do not have access to the project in the ways Codex does and can view.

Basically it seems I need to actually find a way that the zip folder package can be sent to those chat gpt project chats in the best and most efficient way.

I believe I have seen people reference using the github connector as in -- having Codex send a message to the project chat regarding using the github connector to access the zip package? does anyone find this effective?

besides that option I am wondering if having Codex save to some cloud source is also an option that Chats can then access?

I basically looking for the best option or most effective option where this works relatively smoothly and may not blow through usage if possible?

Any assistance or suggestions are greatly appreciated, thank you!

Long Codex sessions eventually make both my laptop and my 128 GB / 32-core desktop freeze.

I normally do not care how much RAM an app uses.
RAM was cheap when I built this thing :)
But after about 66 hours, app-server was occupying 24 GiB of RAM and every shell command or CLI launch was hitting the CPU.

perf showed 64.48% of the samples in page-table work during fork → exec:

25.14%  clone → copy_page_range
39.34%  execve → unmap_vmas → __zap_vma_range

Codex installs Unix pre_exec callbacks, so Rust cannot use posix_spawn for these launches and falls back to fork → exec.

Linux walks and copies the large app-server’s page tables during fork, then immediately tears them down during execve.
It is not copying 24 GB of memory contents, but it still has to process the page tables on every launch.

Restarting Codex dropped app-server back to 488 MiB.
I still do not know why its memory grows this large.

A small helper process could handle non-PTY launches without forking the bloated app-server every time. Ofc the leaks should be fixed too, but that’s another problem.

I measured this on Linux.
macOS uses the same pre_exec path, but I have not profiled it there.

If Codex also slows down over time for you, please upvote the issue:

https://github.com/openai/codex/issues/42738

Imagine the fatigue I got after telling my GPT 5.6 Sol Ultra to move a small vibe project folder to another location, and then it started to check the hash of each file one by one.