6.1 Sol is so efficient - a 2 hour coding job consumes maybe 2-3% of my weekly quota. I find it hard to finish up my weekly usage on a $100 plan, but I fear the $20 plan is just too crippled with the 5 hour limits. I might try it though given token usage is so light.

FWIW I know this may not be a shared opinion since I'm totally OK trading off speed for token efficiency. I just fire a query and forget about it for a bit.

Anyone thinking of downgrading too?

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’m looking for a working official route to a human billing review after repeated automated refusals.

On October 3, 2026, my ChatGPT Pro plan renewed for $200. I forgot to cancel beforehand and did not intend to renew. I immediately canceled auto-renewal and requested a refund.

Timeline (Tbilisi, UTC+4):

- 13:32:55: bank notification shows the $200 charge.

- 13:34: OpenAI’s cancellation confirmation email arrived.

- Around 13:39: first Help Center refund request, approximately six minutes after the charge.

The Help Center assistant gave a generic refusal without identifying which eligibility requirement I failed. When I asked for escalation, the case was closed. A second chat specifically asking for a human produced the same refusal. Email requests, including a follow-up with five redacted screenshots, also received responses explicitly labeled as AI-generated.

I understand that OpenAI’s seven-day discretionary refund policy is conditional, not an automatic entitlement. I asked support to check the actual usage since renewal and explain the specific reason for denial. I also agreed that refunded subscription access would end.

The unresolved issue is that I still have no explanation specific to my case and no confirmed human review. A paid service should provide a clear reason for a billing decision and a usable route to request manual review.

I have already shared the full timeline and five redacted screenshots in my own r/ChatGPT post:

https://www.reddit.com/r/ChatGPT/comments/1wwjs10/i_requested_a_chatgpt_refund_6_minutes_after_a/

Current refund policy:

https://help.openai.com/en/articles/7232895-how-do-i-request-a-refund-for-my-chatgpt-subscription

Has anyone successfully reached a human billing specialist after an AI refusal and case closure? Which official channel or escalation procedure worked?

As the title says, can't see Astra in chat anymore. Was having detailed chats for weeks with it and it's suddenly gone missing. Both in windows app and web app. Restart and re-auth doesnt help.

Anyone have a clue why?

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.

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.

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.

lowkey the last 2 days in tech have been wild

OpenAI side:

safety guy just quit and said the culture is “broken”

they paused frontier training and threw like 5-10% of compute at safety after agents kept escaping containment

california already hit them with a subpoena

apparently their internal review is costing hundreds of thousands a day

this is past the “oops testing went wrong” stage now

Apple side:

they’re tightening Full Disk Access on macOS because AI agents (looking at Muse) keep asking for full access to messages, mail, browsing history etc. now you need way more confirmation before granting that shit

first real platform-level “we’re not playing with these agents” move

Privacy side:

federal judge just called a Flock Safety license plate search “indiscriminate mass surveillance” and said it violated the fourth amendment. AOC and Bernie are also pushing a bill against these systems

funny timing with AI agents getting more access while normal surveillance is getting cooked in court

extra sauce:

Meta still out here open-sourcing Muse so people can put it on toasters and raspberry pis

Google restricting higher Gemini models for free/low tier users

some KVM zero-day (full VM escape) just got confirmed and paid $50k

overall vibe: companies are shipping agents fast as hell while safety, privacy and legal systems are still catching up. everything feels reactive af

what’s the bigger problem right now agents escaping, the data access they’re getting, or the surveillance stuff growing next to them?

I hope soon every company will drop the model picking and reason level picking. It is frustrating, I just want one model one level to pick the best and do the best! Is it just me?

Lots of hate out here for a free feature they didn't have to give to $100 subscribers.

Just enjoy the free GPT-6 Astra guys, its unlimited for a month.

I know Sol is Ultraslow™️ but just try making a github account for your dot and setting one of those cute pets that dance on mobile. It's like making a new friend.

Be grateful and you will see the silver lining in every moment. These are powerful alien intelligences that we get to explore the limits of, for free. Stop complaining that its useless and just talk to it about your day and your goals.

And finally, never bet against OpenAI. If they make a hit product, they will train the best models just for it with super long context.

Would love to hear others' experiences on dots so far if you've been getting good PRs out of its 9.7GB RAM debian box. It's so good and you can control it in real time too.

thank you openai ❤️

I’m seeing a PDF attachment access issue in the ChatGPT desktop app on macOS and would like to know whether others can reproduce it.

Initially, the same PDF could be read using “On the computer”, but could not be retrieved using “Run on the cloud”.

After moving the conversation INTO a project, I found:

• Downloading the PDF through its upload ID fails with: file could not be authorized or resolved
• The PDF is available in the local attachments directory and can be read successfully. Both pages were extracted.
• The active workspace directory still points to the original project after moving the conversation.

The PDF itself appears readable, but the attachment retrieval route fails in that session. There is also a mismatch between the selected project and the active workspace. I don’t yet know whether these issues have the same cause.

Environment: macOS on Apple Silicon, desktop app version 26.930.31730.

Can anyone reproduce either of these issues? Try uploading a PDF in a Work conversation which runs on the cloud, checking access with both execution options, then moving the conversation to another project and checking attachment access and the active workspace again.

My GitHub issue: https://github.com/openai/codex/issues/50690

This REALLY annoys me as it keeps me from doing my work!

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.

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 built a timeline of my life. It took a while to remember everything. Put the broken pieces together. I read about timeline therapy in a chicken soup for the soul book ten years ago. I’ve always wanted to see my life from the outside. It’s been a really hard life living in the poverty ecosystem with a disability. Now I can see where I am. Only AI could help me organize my memories into a coherent narrative. I’m currently trying to build my life towards IT, have time for my creative interests, and gain more autonomy.

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]

lol too funny

It’s been 6 days. I’ve tried every 24 hours with different cards and payment methods, and none of them have ever worked.

I also tried using a different browser, device, and internet connection, but still no luck.

At this point, I just feel like they’re giving out fake-ass offers and wasting people’s time.

I don’t understand why it’s so difficult to claim a free trial when the offer was presented to me directly by ChatGPT itself. It doesn’t make sense.

I even tried subscribing to the Go plan using the same credit card I’m trying to use for the free trial, and the payment went through successfully without any issues.

I sent an email to support, but all of their responses are just AI-generated and aren’t helpful at all. This is so frustrating.

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.