If OpenAI's super-intelligence can solve Navier-Stokes why can't they fix this stupid bug that ate up 330GB of my Mac's disk space? come one please triage your github issues?
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If OpenAI's super-intelligence can solve Navier-Stokes why can't they fix this stupid bug that ate up 330GB of my Mac's disk space?
Because the former can be marketed very prestigiously, the latter hardly can.
According to https://www.briefia.fr/en/article/openai-revendique-la-resol... it is estimated that solving Navier-Stokes did cost OpenAI 40 million USD. I would bet that if OpenAI spent the same amount of money using its super-intelligence to fix this bug, this would work.
I'm working on a side project that requires a lot of fine tuning of 3D worlds. Codex ended up creating thousands of artifacts, basically loads of screenshots, in its worktrees, and doesn't clean up after itself.
On a work project, we're moving financial processes from Excel to code, and Codex ended up creating and storing thousands of validation tests unnecessarily. That ended up eating 90GB after we let it loose on a Windows VM that we connected with a custom agent between codex and the VM.
This is definitely a Codex thing and I've never seen this happen in Claude Code or Antigravity.
Rust is notorious for this, one thing some people do is force Rust to have a salvage yard for builds so all those dependencies are shared by everything regardless of what you are building or where, but holy moly, can someone make Rust output smaller files? Hard drives are always having some reason to never go down to sane prices.
When I was younger I thought we would be having exabyte hard drives by now.
I would argue that the better you can “close the loop” the better. One of my favourite agent activities is giving it a firmware bug and JTAG access + a serial port. That setup means that flashing, debugging (inspecting variables and whatnot, setting breakpoints, etc), and logging can all happen completely autonomously.
Works especially well for transient/hard to repro bugs. It’ll either set breakpoints or write a monitoring script, go to sleep, get woken up by the harness when the bug trips, inspect state, put together a new build based on a hypothesis built from the debugging, flash it, and loop. I’ve had sessions run completely autonomously for over a day and come with a beautiful one-line solution to a gnarly race condition.
In that regard it’s like a human: you can read code all day if you want and you might get somewhere, but being able to inspect what happened, build a new theory, test it, and iterate is way more powerful 99% of the time.
I was trying to upload HDR photos to Instagram and couldn't figure out how to make it preserve the HDR-ness of my photos, and was going back and forth with an agent - step by step we'd slowly iterate on a photo, I'd upload, then I'd download the jpg and give it to the agent and it'd think, change something in the format, and we'd try again.
I got impatient and just said fuck it and gave it chrome-devtools and a blank instagram account and a test photo, and it figured the whole thing out in about a half hour. I built a little browser-based tool from what it discovered, and I use it to run my HDR photos through to format them correctly for instagram and it works a treat.
> I built a little browser-based tool from what it discovered, and I use it to run my HDR photos through to format them correctly for instagram and it works a treat.
I was kinda expecting: "And when my agent built a perfect clone of Instagram and social-engineered all my contact list to join"
That's the only reason these models are good though. They don't one shot things. They get it wrong and then keep checking until they get it right. You gotta let them test
It's silly I have to tell it to make part of the build process to clean old artifacts or it'll just default to keeping endless folders of test builds and old builds without cleaning them up. The same seems to usually be true with documentation and reference material.
There was a REALLY annoying period where I'd give it full control of a VM and a dedicated project folder and it'd continually refuse to delete anything I asked it to or just silently archive it, even though everything was already in a git repo. It seems to have gotten somewhat better about that now, but I still include "create cleanup scripts to delete unnecessary project content" in the default steps before doing the final merge on a change.
I'd been running into a lot of disk pressure on my system from agents running. I discovered two main causes:
- my approach to using git worktrees for all work. Not entirely surprising, the duplicated build artifacts in each worktree being the main culprit here. There were some limited gains to be had by just being more efficient with how builds were managed but ultimately I just had to limit the number of concurrent features I was working on in a couple of particularly large repos.
- more insidious was the fact I was actually hitting memory limits more than I realised and causing my mac to have to swap heavily. The system was surprisingly still quite performant while this was happening... until it wasn't. Unfortunately as best I can tell the only "fix" when this happens is to restart the machine. There's no way to have the system reclaim any of the swap space once it's written to disk. Which if you have it thrash a couple of times a day (especially easy if you leave something running overnight) adds up very quickly.
switching to copy on write worktrees is the biggest game changer it should become common knowledge pretty soon and it's already available on most operating systems
thanks to the parent you're replying to, I discovered there's numerous projects that try to retrofit CoW into worktrees + also fill in the gaps for mostly-shared data like build artifacts! I've decided to take lane (https://github.com/lukeed/lane) for a spin as I type to see how it goes.
You also need a deduplication, because with simple copy on write you will have a copy for writing the same - change a byte in a file, get a copy, then change it back, get a duplicate.
Deduplication in ZFS needs 5G of RAM for 1TB of logical data - if you expect your agents to produce 2TB of data, you should provide 10G of RAM for deduplication.
Why are your agents expected to produce 2TB of data? Not criticizing, I'm curious. Outside of classifiers I don't have any of my agents produce data, they produce scripts to produce data so it can be deterministic
I ran into similar issues. Sometimes though there are good language specific solutions. For Rust based worktrees you should definitely check out https://mr-boxington.jdx.dev/ .
Regarding swapping, are you sure it's not just from ram backed tmpfs partition? For me that was it and most of the swap was from /tmp. So I created an agressive job that runs frequently to delete all tmp files not used in the last ~2 hours without any command holding handles to it.
The other thing I found was that there were a bunch of leftover processes from prior coding agents forking commands and just leaving them. So I had to build a system into my agent spawner to automatically launch each agent session in a cgroup whose processes all get killed on task completion.
On Linux I’ve taken to disabling swap before doing memory heavy operations. Claude will carelessly run benchmarks and tasks which gobble up all available memory. When that happens, I’m not sure why but my system becomes unresponsive and I can’t kill the process. If I disable swap, the oom killer takes care of whatever Claude was doing and Claude figures it out after the fact.
You can use systemd-oomd to force OOM killing without having to completely disable swap. It's quite handy for this especially since you can tell it to aim its OOM heavy artillery at only certain tasks (i.e. only processes that are descendants of claude-cli.)
It's so goddamn bad, I wish it was easier to turn all of this garbage off. I used to spend time defining parallel work lanes to issue to subagents as frontloaded development work with set validation checkpoints and it worked great. Now attempting to do this with 8, 16 subagents will balloon out into hundreds of gigs of fucking mess
Copy on write worktrees do absolutely nothing to solve this, either. The build artifacts alone will do it
Agreed. I thought I was being smug by telling my agents to use btrfs for specific workloads. Sure, it took me longer to run out of space, but I of course ended up running out of space
For the first part you might be interested in Anthropic recently creating their own version control system that's server based like SVN, and it seems to ease their memory pressure too. It's called `scion`.
My work provides me a Mac laptop plus remote Windows VMs and I've completely stopped using my Mac for agent builds/tests - I give them ssh access to WSL instances and they can go hog wild on the VMs.
It's all a bit adhoc - agents still need to pull (or I need to keep the main enlistment up to date on these machines) - I'm thinking of using containers or something else like github actions keep things cleaner, but right now it's "good enough".
Regardless I'm pretty happy with how it's working so far. Previously I'd be letting agents do work in the background and they'd kick off builds in the middle of a meeting or something and I'd start dropping video streams until I killed everything.
tho, I also met this problem and found a solution for me - develop all in one worktree on a single branch, then cherry-pick to the second worktree to the needed branch.
So, only first worktree is built:
- less space needed.
- less time spent on build, which is usually caused by switching branches.
- you are not required to merge/rebase of master branch to solve conflicts, which also cause long time rebuilds.
I'll take a stab in the dark here and say that if you're using Docker (or Rancher, etc..) I found they aren't releasing memory properly and caused a similar issue to what you're describing.
Switching to Orbstack solved the problem for me because of their memory management efforts. Just wanted to mention it in case it leads to an easy fix for someone else too.
same here — not trying to shill OrbStack, but switching to it has "magically" solved weird problems that would otherwise have consumed my actual time to debug
Yeah mole is brilliant, I just discovered it days after paying for Daisydisk and haven't used Daisydisk since. Mole freed up 80GB on my laptop the first time I ran it.
Before Windows XP, desktop Windows users were accustomed to frequent system crashes. Viruses in the 1990s would take out offices around the world. Nothing collapsed, and nobody switched to Linux. Everyone was just used to it. I think most people will accept the tradeoffs, because it used to be much worse than it is now.
They've had their way since before AI was a thing and it was fine and it still is. You can spend the tokens you have on optimizing the performance of your fork of whatever software you're running. For large categories of software it's mattering less and less what other people choose to prioritize because you can choose your own priorities when you roll your own version
this looks like a bug, but even normal happy-path codex creates many GB of logs, openai apparently considers this fine bc it's been going on for months
two things help:
1. fs-level compression, I use ZFS bc Btrfs has massive contention problems with concurrent Rust builds
The post is about exactly what the title says its about and also it is literally a link to a GitHub issue if you didn't want to read a big report and couldn't figure out that it was a bug report until "wasting your time" reading it and then a bunch of comments and then finally a comment saying hopefully openai will take it seriously idk what what to day
The amount of cope of people dealing with this is sobering. One of the biggest companies out there currently has neglected to fix a seemingly trivial bug in their core offering for 4 months and everyone is just like 'well, you can delete the files'.. I'm not hopeful for the future. Software already was a terrible buggy mess, now it's just all rng i guess.
Is it just me or is codex on windows slow and buggy for general work tasks? I can’t no matter what get it to control its own browser and fan spins out of control on decently new laptop.
I tried Claude and it’s much better experience, got a bookkeeping workflow setup with xero mcp and reading my emails finding invoices in no time.
Codex has been great for plain coding jobs though.
I recently was hunting for some storage on my ssd and noticed had 14GB of tiny files in codex in /.staging/marketplace. They really don't care about our drives. Once they fix one things they break another stuff.
They present and immediately take away their own value proposition. Do AI CEOs also buy tokens, or is that the reason for human employees ?
>"One possibility is single-person startups, each with a human founder steering swarms of agents to rake in billions in revenue. Another is companies built by AI genius CEOs employing human agents only to wield pipettes and testify before Congress."
It’s actually kind of startling just how bad, as measured by open issues, Codex is. There’s a huge issue with conversation locking that nullifies one of Codex’s key advantages (GUI<->CLI interoperability) and last night I learned that conversations can get into a permanently-locked state where even shutting down every Codex process won’t unlock a conversation.
You add to that all of the weird confusion over Chat/Work/Cloud Work/Work Local modes and marooned conversations, broken connectors (will OpenTable ever work? Will the Chrome connector ever be reliable on restart?) questionable UI decisions, and I start to worry a whole lot less about being replaced by AI.
It’s not even that Astra is bad at coding - it’s magnificent at coding. But it’s like it’s pure Id - all energy and first order logic but no taste or reason or preference. I guess that’s what we’re supposed to be doing now.
And yet Astra is as good if not much better coding than opus 5.5, both in the code generated and its guardrails. In fact in the last 3 weeks at work I’ve had opus 5.5 histrionically freak out about examining security issues with our app multiple times. What good is that?
It’s just that Codex, the harness, is hot garbage. I’m going to invest some time in using Astra with OpenCode to see if I can live with that but going back to Anthropic is very low on my preference list.
[OP] AIorNot | a day ago
See this: https://github.com/openai/codex/issues/25921#issuecomment-62...
cyanydeez | a day ago
aleph_minus_one | 23 hours ago
Because the former can be marketed very prestigiously, the latter hardly can.
According to https://www.briefia.fr/en/article/openai-revendique-la-resol... it is estimated that solving Navier-Stokes did cost OpenAI 40 million USD. I would bet that if OpenAI spent the same amount of money using its super-intelligence to fix this bug, this would work.
But seems not to be very economical. :-)
spicyusername | 17 hours ago
You don't have to give any more legitimacy to Trump's inane ramblings than they already get.
mrlonglong | 13 hours ago
topaz0 | 8 hours ago
starfallg | a day ago
On a work project, we're moving financial processes from Excel to code, and Codex ended up creating and storing thousands of validation tests unnecessarily. That ended up eating 90GB after we let it loose on a Windows VM that we connected with a custom agent between codex and the VM.
This is definitely a Codex thing and I've never seen this happen in Claude Code or Antigravity.
majormajor | a day ago
Had to tell it to update it's agents.md to not do that...
giancarlostoro | a day ago
When I was younger I thought we would be having exabyte hard drives by now.
plantain | a day ago
mattgreenrocks | a day ago
tonyarkles | 23 hours ago
Works especially well for transient/hard to repro bugs. It’ll either set breakpoints or write a monitoring script, go to sleep, get woken up by the harness when the bug trips, inspect state, put together a new build based on a hypothesis built from the debugging, flash it, and loop. I’ve had sessions run completely autonomously for over a day and come with a beautiful one-line solution to a gnarly race condition.
In that regard it’s like a human: you can read code all day if you want and you might get somewhere, but being able to inspect what happened, build a new theory, test it, and iterate is way more powerful 99% of the time.
bentcorner | 17 hours ago
I was trying to upload HDR photos to Instagram and couldn't figure out how to make it preserve the HDR-ness of my photos, and was going back and forth with an agent - step by step we'd slowly iterate on a photo, I'd upload, then I'd download the jpg and give it to the agent and it'd think, change something in the format, and we'd try again.
I got impatient and just said fuck it and gave it chrome-devtools and a blank instagram account and a test photo, and it figured the whole thing out in about a half hour. I built a little browser-based tool from what it discovered, and I use it to run my HDR photos through to format them correctly for instagram and it works a treat.
cyberax | 16 hours ago
I was kinda expecting: "And when my agent built a perfect clone of Instagram and social-engineered all my contact list to join"
vikramkr | 9 hours ago
zamadatix | 22 hours ago
There was a REALLY annoying period where I'd give it full control of a VM and a dedicated project folder and it'd continually refuse to delete anything I asked it to or just silently archive it, even though everything was already in a git repo. It seems to have gotten somewhat better about that now, but I still include "create cleanup scripts to delete unnecessary project content" in the default steps before doing the final merge on a change.
spockz | 15 hours ago
zamadatix | 12 hours ago
glenngillen | a day ago
- my approach to using git worktrees for all work. Not entirely surprising, the duplicated build artifacts in each worktree being the main culprit here. There were some limited gains to be had by just being more efficient with how builds were managed but ultimately I just had to limit the number of concurrent features I was working on in a couple of particularly large repos.
- more insidious was the fact I was actually hitting memory limits more than I realised and causing my mac to have to swap heavily. The system was surprisingly still quite performant while this was happening... until it wasn't. Unfortunately as best I can tell the only "fix" when this happens is to restart the machine. There's no way to have the system reclaim any of the swap space once it's written to disk. Which if you have it thrash a couple of times a day (especially easy if you leave something running overnight) adds up very quickly.
singularity2001 | a day ago
jwiz | 17 hours ago
glenngillen | 16 hours ago
thesz | 15 hours ago
Deduplication in ZFS needs 5G of RAM for 1TB of logical data - if you expect your agents to produce 2TB of data, you should provide 10G of RAM for deduplication.
malfist | 7 hours ago
singularity2001 | an hour ago
What are realistic scenarios in which you change a byte back?
_matthew_ | 22 hours ago
Regarding swapping, are you sure it's not just from ram backed tmpfs partition? For me that was it and most of the swap was from /tmp. So I created an agressive job that runs frequently to delete all tmp files not used in the last ~2 hours without any command holding handles to it.
The other thing I found was that there were a bunch of leftover processes from prior coding agents forking commands and just leaving them. So I had to build a system into my agent spawner to automatically launch each agent session in a cgroup whose processes all get killed on task completion.
josephg | 20 hours ago
trollbridge | 20 hours ago
treve | 16 hours ago
machomaster | 5 hours ago
monster_truck | 20 hours ago
Copy on write worktrees do absolutely nothing to solve this, either. The build artifacts alone will do it
nullpoint420 | 12 hours ago
satvikpendem | 19 hours ago
treve | 19 hours ago
bentcorner | 17 hours ago
It's all a bit adhoc - agents still need to pull (or I need to keep the main enlistment up to date on these machines) - I'm thinking of using containers or something else like github actions keep things cleaner, but right now it's "good enough".
Regardless I'm pretty happy with how it's working so far. Previously I'd be letting agents do work in the background and they'd kick off builds in the middle of a meeting or something and I'd start dropping video streams until I killed everything.
feelamee | 12 hours ago
So, only first worktree is built: - less space needed. - less time spent on build, which is usually caused by switching branches. - you are not required to merge/rebase of master branch to solve conflicts, which also cause long time rebuilds.
tonytamps | 9 hours ago
Switching to Orbstack solved the problem for me because of their memory management efforts. Just wanted to mention it in case it leads to an easy fix for someone else too.
veidr | 7 hours ago
tonytamps | 7 hours ago
aaronbrethorst | a day ago
madaxe_again | a day ago
And yes, codex is eating my disk, too. Ironically my solution is mostly codex - I have a task which goes around stomping on detritus.
rudedogg | 23 hours ago
They still update it, it works perfectly, no version 2.0 forced obsolescence. Just a nice, reliable tool.
mococa | 10 hours ago
piskov | 23 hours ago
TUI version is free, though there is a paid app if that’s your thing
https://github.com/tw93/Mole
columk | 23 hours ago
piskov | 10 hours ago
Back in the days you would use cleanmymac for emptiying caches and what have you, and daisydisk to find big folders
Tw93 | 10 hours ago
clumsysmurf | 23 hours ago
https://github.com/tw93/Mole
krembo | 17 hours ago
https://github.com/jesusha123/qdirstat-macos
matt3210 | a day ago
adamddev1 | a day ago
raegis | 21 hours ago
steve1977 | 14 hours ago
Home users maybe. I've started with Windows NT 4.0 and don't remember it being crash-prone.
hluska | 10 hours ago
machomaster | 5 hours ago
adamddev1 | 12 hours ago
What people can get away with on the upper crust with end-user apps would spell disaster for the inner parts.
vikramkr | 9 hours ago
[OP] AIorNot | 5 hours ago
The world adapted, that is to say if something is popular- they will keep it going through just enough fixes to keep it going
piskov | 23 hours ago
kudokatz | 23 hours ago
jbellis | 23 hours ago
two things help:
1. fs-level compression, I use ZFS bc Btrfs has massive contention problems with concurrent Rust builds
2. Archive your old sessions using something like sessionwiki (https://github.com/youdie006/sessionwiki), I've integrated this into my control plane (https://github.com/BrokkAi/mjolnir/)
backlands | 21 hours ago
I haven't read about btrfs having issues with concurrent workloads like multiple concurrent rust builds. Are there notes on this somewhere I can read?
jbellis | 15 hours ago
squidbeak | 11 hours ago
AgharaShyam | 23 hours ago
for some reason I had 11 separate codex and codex-code-mode-host binaries in mine. each weighing about ~300 MB.
dingaling911 | 20 hours ago
HackerThemAll | 14 hours ago
Apparently OpenAI is unable to fix this properly, even using its state of the art AI.
[OP] AIorNot | 12 hours ago
hluska | 10 hours ago
vikramkr | 9 hours ago
boesboes | 12 hours ago
squidbeak | 11 hours ago
farmin | 11 hours ago
pzo | 10 hours ago
kirykl | 10 hours ago
>"One possibility is single-person startups, each with a human founder steering swarms of agents to rake in billions in revenue. Another is companies built by AI genius CEOs employing human agents only to wield pipettes and testify before Congress."
verytrivial | 7 hours ago
smileybarry | 7 hours ago
https://news.ycombinator.com/item?id=48626930
CountSessine | 6 hours ago
You add to that all of the weird confusion over Chat/Work/Cloud Work/Work Local modes and marooned conversations, broken connectors (will OpenTable ever work? Will the Chrome connector ever be reliable on restart?) questionable UI decisions, and I start to worry a whole lot less about being replaced by AI.
CountSessine | 6 hours ago
laurels-marts | 6 hours ago
CountSessine | 6 hours ago
It’s just that Codex, the harness, is hot garbage. I’m going to invest some time in using Astra with OpenCode to see if I can live with that but going back to Anthropic is very low on my preference list.