THE SPINNER MESSAGE CAUSES 100% GPU USAGE ON AN MBP M5!!

So any time you're waiting on the model (which is 90% of the time), your fans will be blasting (careful, don't use it on battery).

The issue is on github and close to 6 months old. Probably since the release of vibe coded junk. I would literally fix it myself but it's closed source for whatever reason.

There are many discussions about which model is better, or if vibe coding is even possible. I point you to the extent of what one of the most well funded, money flush, well staffed model making companies can do with vibe coding.

To me a screwup this bad (where the CEO has already made it clear they're now "focussing on coding") indicates that there's something truly broken in the company. No one on polymarket expects them to have a leading model any time soon for example.

It's a tragedy. The world needs competition to anthropic.

sqlite3 ~/.codex/logs_2.sqlite "CREATE TRIGGER IF NOT EXISTS block_log_inserts BEFORE INSERT ON logs BEGIN SELECT RAISE(IGNORE); END;"

Also, I found that running VACUUM FULL on the sqlite file on my laptop shrunk it from 27GB to a mere 73MB[2].

[1]: https://xcancel.com/bdsqlsz/status/2067964486615810369

[2]: https://xcancel.com/jeethu/status/2068087449469780434

It's fairly easy to patch.

Surely it should be trivial for them to have their own tools spinning away trying to fix all the github issues in real time...

[0] https://github.com/openai/codex/commit/e98d43ac372ddf7f513c0...

Nowadays Codex has typing latency out of the gate, whereas Claude Code has the odd pause but generally displays my key presses as … you know … I press them.

It's crazy we have hit a point where memory, CPU speed and disk speed isn't getting clapped because a Dev shipped logging at trace level instead of what used to the application being catastrophically slow so its immediately fixed in the next update.

These guys really need to stop polluting the root folder of repo with Claude dot MD and copilot dot MD. Get in a room together and decide on a well known folder structure like docs/llm/*

I start getting good results with Oh-My-Pi and Pi Coding Agents.

Perhaps the framing shouldn't be "haha slop" but rather why doesn't the AI write better quality software than we do? To which the answer is obvious IMO -- even emergent properties can't elevate AI intelligence too far above the training dataset. So how do we get to superintelligent (or at least "not-wreck-your-NVMe-endurance-telligent") AI, if we, as a whole, are not smart enough ourselves?

Judge not the slop-bot, lest ye be judged yourself, engineer.

Even with tests, the more complex the code base is, the more risky it is to vibe-code on it without introducing more bugs [0] and increasing the debt. Does not matter if the CI is green or if all the tests pass.

It gets even worse if you can't explain the change / pull request or what the implications are after applying that "suggested" fix.

[0] https://sketch.dev/blog/our-first-outage-from-llm-written-co...

It used to work okay, but a while back they landed a major regression for an entire team of folks I work with.

No response, no workaround.

https://github.com/openai/codex/issues/23762

Only now we're witnessing the consequences much more frequently thanks to accelerated slop.

One can argue that these products are the flagship products of their respective AI companies aside from the AI models themselves of course.

I imagine that this story will be picked up by the news left and right, some stories just feel this way and this one is like that (given 12 upvotes on HN in 7 minutes)

The only logical conclusion (from this incident) that I can have is: An (vibe-coded?) product is hard to maintain even for some of the best engineers and is bound to have severe bugs.

2. Proper testing and taking issues seriously is the key if you still wish to do this and there isn't much. This is a week old issue which I can only classify as severe.

I wish to keep an nuanced opinion about it but oh this is bad for openAI (not as bad as them accepting autonomous AI within drones and mass surveillance though)

My point is: AI has both uphills and downward valleys and cliffs. It might as well just accelerate you, which could be, towards your downfall as well. Its recommended to keep an eye while driving and not drive too fast.

AI companies might be like car companies which don't offer a brake pedal.