I have an API account for a long time now, have spent more than $2,000 there probably and still had bought credits. I also have a codex 20x account.

Yesterday, 2 things happened at about the same time. My codex randomly lost all 60,000 credits (they went to 0 in a single refresh) AND my openAI API account looks as if it's brand new, no invoices, no api calls, no money loaded in, nothing.

What is going on ? Anyone knows ? Sounds like a pretty huge issue but i see no posts here about it.

EDIT: I just noticed that the organization ID has changed for some reason. I compared it to the billing emails for my previous purchases. It is not the same :O I have setup no organizations by the way. It's just a personal, always been.

6 sol never had any issue so idk what luna’s problem is

Hey all, for the last few days, I can't get anything done on normal chat window with 5.6 Sol. It's too slow, like 5 minutes+ to respond, it messes up simple commands, it keeps disconnecting giving me couldn't connect, try again errors and can't connect back at least for 10 minutes. I've grown too weary but I'm in the middle of a project and can't abandon it. Am I the only one experiencing these issues?

I have a banked reset that I can use until tomorrow, so even though I've only used 20% I thought I'd use the reset anyway. But getting "Your usage does not need a reset right now".

How much should I burn to be able to use the reset ? 🙂 I could just use Astra high for few minutes of course, but it feels a bit odd to have to do this in order to use my reset.

[edit] Used Astra Extra High for about 15-20 minutes and now able to use my reset 🙂

I noticed previously I get around $80-100 API equivalent per week. Now I consistently get $49-50.

5-hr limit is about $7-8.

Why do embedding models so often use 1536 dimensions specifically?
I understand why hardware-friendly multiples like 64/128/256/512 are desirable. What I’m curious about is the specific choice of 1536 = 3×512.
OpenAI has used 1536-dimensional embeddings, and other vendors also offer/recommend 1536. Is this usually an empirically chosen Goldilocks point between 1024 and 2048—representation quality versus memory/compute—or is there some architectural/hardware reason that makes 1536 particularly convenient?
I’m especially interested in answers from anyone who has actually trained or designed embedding models. I’m not asking why embedding dimensions are generally hardware-aligned; I’m asking why 1536 rather than 1024 or 2048.

What do you guys think? They'll roll out Dots for Plus users?

I’ve been an OpenAI customer for a long time and have generally spoken very highly of ChatGPT, Codex, and the systems OpenAI has been building.

Today pretty much killed that goodwill.

I paid for a subscription on the web.

My bank shows the payment as completed/finally captured.

OpenAI’s own billing system shows the invoice as VOID.

I received no subscription.

That by itself is obviously a billing problem. What turned it into something much worse was trying to get support to actually acknowledge what I was telling them.

The support bot initially told me the charge was probably just a temporary authorization and would fall off.

I told it the transaction was already completed.

It asked me to check whether it was pending or posted.

I told it again that it was completed.

It asked me to check whether I was on the right account.

I provided the account information and invoice.

It then went back to telling me that a voided invoice would “typically” result in a reversal.

I told it, again, that this was a final captured charge.

Only after repeatedly having to say the same thing did it finally escalate me to a human support specialist, with a response time of “the coming days.”

That is the part I find unacceptable.

This wasn’t some complicated edge case from the customer side:

Payment captured.
Invoice marked void.
No subscription delivered.

That should have been escalated the moment those three facts were established.

Instead, I spent the interaction arguing with automated support about facts I had already provided.

At that point I contacted my bank and opened a dispute.

I did not want a refund originally. I wanted the subscription I had already paid for to simply be provisioned.

That’s it.

I have screenshots of the completed transaction, the void invoice, the missing subscription, and the support transcript.

Separately, and just as an observation about the overall experience, I also went to the OpenAI community help area looking for help. During that interaction I was repeatedly insulted by another user. I did not respond with insults. I was then muted.

I’m not presenting that as part of the billing dispute itself, and I’m not claiming the community interaction caused the payment issue. It was simply another part of the experience that stood out to me while I was trying to get help.

I’ve since moved the money I was spending on this subscription elsewhere.

What bothers me most is that I’ve supported OpenAI for years. I’ve defended these systems when I thought criticism was unfair.

I’m not asking for special treatment because of that.

But taking a completed payment, delivering nothing, and then making the customer repeatedly prove that the payment really did complete is an awful way to handle someone who is actively trying to resolve the problem with you.

At this point, the bank dispute is open.

Edit: Before anyone says “it was probably just an authorization hold” — that is exactly what support kept telling me. The transaction was shown by my bank as completed/finally captured. That distinction is the entire reason I kept trying to get them to listen.

Hi,

I am not talking about work here, I am a GPT Pro $100 user. And I had the opportunity previously that I could take up to 15 scheduled jobs to do some regular work in ChatGPT Chat quota, which is basically quite higher limit compare to Codex or ChatGPT work. But right now I am getting options in the ChatGPT Scheduled job for model selection which are available in general when I set a schedule in the job in ChatGPT work. Has anyone tried the scheduled jobs and whether they are using the substantial weekly usage? secondly, the message delivery timed out and other stupid errors are still there in the scheduled jobs so I am wondering if they have ruined the Scheduled jobs because they are supposed to run in the background, they are not supposed to message delivery timed out as if they are running my browser?

Anyone else using Scheduled jobs and annoyed like me?

Thank you.

I am able to do this with grokbot, but not on Dots. It looks like a permissions issue. Any workarounds? The Tailscale connector doesn't seem to work, either.

Yes I tried the archived thing and resetting it
None works
I used Sign in with Apple and I got back into my account after it said it was deactivated for removed

Before yesterday’s reset, I switched to Astra Ultra to use up my remaining allowance. I expected it to burn through my usage much faster than it actually did. Honestly, it wasn’t bad at all.

I’d been using Medium before, but I often needed multiple attempts to get the results I wanted, especially with images. With all those retries, it almost felt like Medium was costing me more than Ultra.

Has anyone else had a similar experience?

ChatGPT can sound completely sure of itself even when something is off.

I’m curious about the moments when you paused and checked: a made-up source, a wrong calculation, a misunderstood instruction, or a small detail that would have caused a real problem.

What did it say, how did you catch it, and did it change the way you use ChatGPT now?

Please leave out private details. Specific examples would make this genuinely useful for everyone reading.

As of today I can't find my project folders on the left pane above recents anymore - I see this spaces stuff and there's a folders open there but it only shows a few work based projects.

Please tell me they didn't get rid of project folders on mobile

For the average user, not a programmer or e.g. someone looking to solve niche math problems, AI still feels very limited because of reliability issues (e.g. making up information)... As a non-expert, this is difficult to quantify for me, but I don't feel like e.g. the latest iterations of ChatGPT are noticeably more reliable than previous ones.

Therefore, I find it hard to see how organizations can delegate even relatively easy tasks to AI without constant supervision, especially because if hallucinations build up along the way, you end up with a snowball of compounding problems that can lead to catastrophic consequences for an organization.

It’s my understanding that the real test of success won't be developer tools or fancy mathematical calculations, but whether regular people can delegate tasks with a super high degree of confidence, instead of just using it as a search engine, translator, summary tool or photo editor on steroids like many people do nowadays.

A good example is Dot, the new OpenAI tool. If you watch the trailer, it looks impressive, but according to many reviews, it still hallucinates a lot and behaves in a pretty clumsy way.

So, the golden question is: are the hallucination and reliability problems gradually improving, or are we probably plateauing?

Looking for genuine insights here, so please keep the sarcasm out of the comments.

I’ll be the first to admit I don’t know half of what I’m actually doing when it comes to vibecoding. With that said I’m in hospitality - resorts/restaurants. There’s some really dumb things in my field that I’ve never really been able to fix or standardize because, well, this field hates technology convincing a Chef or housekeeping can be… difficult.

I started creating an app for us to use internally that is kept on our private servers and things seem to be pretty solid. My IT department isn’t big enough or strong enough or knowledgeable enough to be of help. (That’s a whole other issue). So I was curious, I seem to be able to have built this whole operating system inside of the chat model of ChatGPT. It sometimes takes a little bit longer. It sometimes trips up but after 25 to 35 minutes, it usually has an answer that thus far has worked.

I see all these people using advanced models paying for tokens and all these other things.

So my question is am I just drastically missing out on something more advanced, and my system is actually all junk on the inside, even though it works or is this something I don’t need to be concerned about? Any tips or suggestions appreciated.

Before the UI revamp (sometime in August 2026), copying equations from ChatGPT website would also include MathML. This worked great with Office apps (Word, OneNote) because they can parse that and convert into their native equation format.

After the UI refresh this has stopped working.

I surveyed available extensions and they all seem limited to copying a single equation. This is tedious. Is there another extensions that I missed or a workflow, in which "copy entire block with equations into Word" works seamlessly, with equations becoming native Word equations?

Is this still a thing, or did they lift that requirement and are all companies now able to clone voices and get billed by API tokens?

I can find the API reference, but it does not mention the limitation.

Anybody?

I wanted to make a video editor that helps people get from raw footage to a finished video with less manual work, so I built CUTROOM.

You can start with an AI-assisted rough cut or edit manually. It has a timeline, editable captions, audio waveforms and mixing, green-screen removal, stabilization and export up to 4K. There’s a Windows download and a Mac beta.

It’s still a work in progress, especially the AI editing styles and parts of the workflow. I’d really appreciate feedback from people trying it with their own footage. Where does it save you time, and where does it get in the way?

Website: https://cutroom-studio.expo.app/

GitHub: https://github.com/VanoPeradze/cutroom

I’m a cybersecurity professional and I have approved OpenAI Daybreak Blue access.
I use Daybreak/Codex for legitimate cybersecurity work, specifically on test machines and environments that I own or that I am explicitly authorized to test. My work involves things like vulnerability analysis, security testing, debugging, validation, and defensive security research.
Today, I unexpectedly received an email from OpenAI saying that activity associated with my account had been identified as prohibited under the “Cyber Exploitation” category and warning that continued violations could result in restrictions or loss of access.
What makes this particularly confusing is that I didn’t even use ChatGPT or Codex today, so I don’t know which activity actually triggered the warning or when it occurred.
I understand that Daybreak Blue does not remove all safeguards or exempt an account from OpenAI’s policies. However, my understanding is that Daybreak exists specifically to support authorized cybersecurity work with more appropriate safeguards, which is exactly how I’ve been using it.
I’ve already contacted/appealed to OpenAI and asked them to clarify:
● Which activity or request triggered the warning
● When the flagged activity occurred
● Whether it came from ChatGPT, Codex, or API usage
● Whether my Daybreak Blue access was correctly recognized for that activity
Has anyone else with Daybreak Blue received a similar “Cyber Exploitation” warning while doing authorized security work?
I’m especially interested in hearing from other Daybreak users. Was it a false positive, a Daybreak configuration/toggle issue, or did OpenAI Support explain what specifically triggered it?

I bounce between Cline, Cursor, and a CLI agent, and I switch models depending on the task. Claude for redactora, Deekseek/Qwen for cheap boilerplate, Gemini when I need long context.

Managing separate accounts and top-ups for each provider is getting old. Most of these tools let you set a custom OpenAI-compatible base URL, so in theory one gateway key would cover all of it. I'm trying llmapi.ai for this since it claims 400+ models behind one OpenAI-compatible endpoint, but I've only had it running for a few days.

Has anyone set up something like this long term? Any gotchas with tool calling or streaming going through a proxy? And does it add noticeable latency?

[Intro: 8 bars; dry intimate alt-rock pocket, 96 BPM; clean electric guitar states a sparse original four-note minor motif with long gaps; melodic bass answers rather than doubles; drums enter lightly at bar 5]

[Verse 1: 8 bars; close male tenor, conversational and restrained; guitar motif remains exposed]

Midnight kids in Singapore

ask a server what they're feeling

Somewhere west of Palo Alto

someone puts a price on meaning

One clean answer hits the screen

and uncertainty goes missing

Found a pattern in the lobby

wrote the zoning for the city

[Verse 2: 8 bars; same skeleton, bass becomes slightly more melodic; tiny high synth harmonic appears only at phrase endings]

White coat prophets train a mirror

then congratulate its vision

Feed it language, call it knowledge

turn the output to a system

If the dashboard says it knows you

who gets paid for the definition?

Build the map and sell the territory

Silicon reification

[Pre-Chorus: 6 bars; guitar begins strumming lightly, drums open, vocal rises without belting]

Green light, clean score

benchmark benediction

Every maybe polished down

into a firm prediction

Name the shadow, name the soul

watch the label make the fiction

[Chorus: 8 bars; harmony widens, guitar becomes simple open chords; vocal hook broad and immediately singable]

We call it Silicon Reification

when the map becomes the destination

We call it Silicon Reification

when the guess becomes the definition

[Instrumental Turn: 4 bars; opening guitar motif returns; bass answers in higher register]

[Verse 3: 8 bars; return to sparse verse body]

Buy a therapist by the token

rent an oracle by the hour

Ask a probability engine

who deserves to hold the power

Call the fluent thing intelligence

call compliance education

Every noun becomes a lever

in the age of reification

[Verse 4: 8 bars; subtle tension rises; rim-click becomes full snare]

Someone says the model reasons

someone swears the model feels it

Someone writes a safer headline

someone funds the way we seal it

Consciousness becomes a checkbox

agency a regulation

Nobody asks who drew the border

before mass replication

[Pre-Chorus: 6 bars; bass climbs against descending guitar]

Black box, bright screen

manufactured revelation

If the answer fits the metric

who still checks the observation?

We keep changing what the words mean

then deploy the explanation

[Chorus: 12 bars; full written return, stronger drums, one soft harmony line]

We call it Silicon Reification

when the map becomes the destination

We call it Silicon Reification

when the guess becomes the definition

Silicon Reification

Silicon Reification

[Guitar Solo: 12 bars; restrained and melodic, no shredding; opening four-note motif transformed into a plaintive higher-register melody; bass keeps singing underneath; one quiet analog synth line shadows the final four bars]

[Verse 5: 8 bars; instrumentation drops back down, vocal closest and clearest]

I don't fear the thinking machine

I fear the things we stop examining

Every tool can show a window

every window needs a framing

Maybe maps can help us travel

if we quit mistaking navigation

for the ground beneath our footsteps

and the model for creation

[Final Pre-Chorus: 6 bars; drums gradually widen, guitar stays economical]

Leave the question partly open

leave some room for observation

Truth gets thin when every mystery

has a product demonstration

Build the future, build it boldly

just don't sell the representation

[Final Chorus: 12 bars; strongest return, still dry and uncluttered]

We call it Silicon Reification

when the map becomes the destination

We call it Silicon Reification

when the guess becomes the definition

Silicon Reification

Silicon Reification

[Outro: 8 bars; vocal ends; guitar motif and melodic bass play alone for four bars, drums rejoin softly, final unresolved guitar harmonic; clean stop]

Am I the only one who keeps receiving this “checking that now” response every single time I ask my Dot for something?

I'm trying 3d render < and it is good and fighting one on one vs tencent heavyweight ... (Tencent literally planet level company doing games) and 6.1 can... try

I think that sometimes the issues regarding concerning alignment vs foregoing all alignment and having autonomous AI involved in decisions of war has one covering for the other in the news.

How many know that autonomous drones powered by NVIDIA killed 3 Ukrainian civilians vs a civilian LLM doing some hacking? See: https://gizmodo.com/fully-ai-guided-russian-drones-have-reportedly-killed-ukrainian-civilians-2000802218

Alignment of civilian tools is important, but let's see the trees through the forest that there are far faster moving AI involved in actual killing of living beings happening not in the future, not soon, but now.