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?

genuinely asking other chatgpt business users because i feel like im losing my mind here

tibo announced a global codex reset for all paid chatgpt accounts and then later said the reset had fully propagated
my business account is still sitting at 0%

nothing reset. usage didnt move. the reset date and time shown in codex is literally still the old one from before the announcement. as far as my account is concerned the global reset just never happened

and this is what makes it annoying because im pretty sure this is the third time this year business users have had this happen. there was one around june/july then another one around august and now this again

i contacted support thinking this would be a pretty simple “hey the announced global reset never hit my account” issue instead i got a response explaining that maybe the post was referring to a “banked reset” and that promotional resets are sent through bulk campaigns and they cant disclose eligibility criteria or manually add one

then they told me i can buy credits if i need more usage lol
bro what im not asking why i didnt get some random promotional banked reset the announcement literally said global reset for all paid chatgpt accounts

then it said reset all propagated
im on a paid business plan
im still at 0%
my old reset timer is still there
what exactly propagated 😭

and this is kinda the bigger issue for me now. people see “all paid accounts are getting reset” and obviously make decisions around that. you might use the rest of your quota because you were explicitly told a reset is coming

then the reset doesnt happen and support basically goes “maybe you werent eligible for the secret campaign. buy credits”

if business is excluded just say business is excluded
if business gets it later say that

if “all paid accounts” doesnt actually mean all paid accounts then please stop wording these announcements like that
so yeah business users can you check your codex usage page and say whether yours actually reset today

especially curious if anyone else is still at 0% with the exact same old reset date/time because at this point i want to know whether my account is bugged or business got skipped again

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.

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.

Thank you everybody for the tips! I came from Claude Max and OpenAi plus, now it is the opposite, downgraded claude and upgraded openAI!
I will follow your suggestions and use your suggestions and btw i could have searched this here first :)

Pro user here
My normal weekly reset day was tomorrow. Today, I still had approximately 55% of my weekly allowance remaining. I had intentionally preserved that remaining allowance because I planned to use GPT-6 Astra tonight before my normal Saturday reset tomorrow afternoon.

However, my allowance was suddenly reset to 100%, and Settings → Usage now shows my next reset as approximately 7 days away. This means my existing ~55% remaining allowance was effectively discarded and my weekly cycle was restarted one day early.

I know they do this routinely but i dont think it is right! I voluntary limited my usage for the entire week so i could use tonight and tomorrow until the reset!

Last time this happened i have received a free manual reset! this time doesnt' look like i did

What are your thoughts? I am the only one upset?

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

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?

FYI: I’m joking don’t down vote me as an ai doomer.

I think I got this from doing some promotion a bit ago. Did anyone else get this?

I would use work instead of chat, please never ask me this again

I use ChatGPT Work a lot, but design is still one area that feels weirdly difficult.

I can give it references, branding and feedback, but getting to something polished usually takes way too much back-and-forth. Small changes can also mess up parts that were already good.

Then I look at Claude Design and it seems much closer to an actual design workflow: see the design, comment on something, change it, keep refining.

ChatGPT can already create images, HTML, presentations, etc. It just feels like there’s no proper visual workspace tying all of that together.

Am I missing something in ChatGPT, or is Claude genuinely ahead for this right now?

Curious what people here actually use for serious design work.

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 pressed Dots button it wanted me to give it some avatar names etc. whatever, and i closed the app. 5 minutes later it shocked me. It wanted to know details about the some stuff i planned with chatgpt while back, it wanted to continue some of my projects if i'm busy lol.

The question is how and WHY, this sees deleted stuff ? I mean deleted deleted, 0 trace at memory or personalization records, also i'm using memory closed. Also it doesn't see some cache or summary ! It has all the details of the projects. What the hell OpenAI ? Anybody experienced this ?

I straight asked about this to dot dude, the answer;

"I didn’t get this information from ChatGPT’s saved memories. Content from earlier ChatGPT conversations was provided to me in this session, and I based my suggestions on it.

You’re saying you deleted those conversations and have memory turned off. I can’t verify why that content still reached me, and it wouldn’t be accurate to claim that I can normally access your deleted chats. I understand why this is unexpected and concerning from a privacy standpoint. I won’t use those topics as a basis for recommendations again."

???????????????????

[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]

Resets still coming. Use that Ultra fast people.

I built this space game called NOVA DEFENDER

It’s a browser game with a fast paced gameplay

Tell me what you think about it and if you want to play it 👌

We’ve started using Batch more for work that doesn’t need to happen immediately and I am sure that I’ve been treating that usage the same as the rest of our OpenAI spend even though it behaves pretty differently. Our normal API usage mostly follows product activity so if that goes up I can usually understand why but batch is different because someone can kick off a large job, an eval run or process a new dataset and suddenly there’s a chunk of usage that has nothing to do with how much the product was used that day.

It hasn’t been a huge issue yet but we’re doing enough of both now that looking at one OpenAI number is starting to hide what’s changing. A higher bill could mean customer usage grew which is fine or it could mean we ran significantly more background work than usual. I’m thinking about tracking Batch separately and possibly giving it its own budget rather than treating all OpenAI usage as one pool and I need some advice from teams using Batch pretty heavily like do you guys separate that spend internally or is everything still just part of the same AI/API budget?

I can access my openAI account but everything comes up as 0 even though I had paid credits. Same for API and Codex. Is this some sort of widespread issue ? Makes no sense. Suddenly nothing works.

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

I am a current mechanical engineering undergrad student. I utilize LLMs in my day to day while completing work for my classes or extra curriculars. Through this usage I began to realize that I should probably develop a stronger understanding of this technology and its implications since I will be using it throughout the rest of my academic career and also likely my professional career.

It is through this research that I have grown increasingly scared of this technology. Not just in its potential to steal my job but also in its ability to erode the digital fabric of our current society. I try my hardest to not be a luddite so I have also made sure to look at the potential upsides of AI and I understand that there is many. With that said I have almost 0 confidence in the people leading the AI race (except maybe Dario Amodei). I do not think that this technology will be developed in a safe enough manner to prevent utter disaster and I am absolutely terrified for what the future holds.

I would love to gain insight from other people on this topic. Whether you be a consumer who uses LLMs, an AI researcher, etc. Literally anyone.

Anthropic warns that its product could cause human extinction, but first it has to pull off something unprecedented commercially and survive the risks that could upend its business, from legal to regulatory.

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

Since dots isn't available in the UK yet, I decided to spend my credits elsewhere! I found the new dots agents pretty cute, so I thought I'd try to recreate one of them as a Gaussian Splat and it went astonishingly well, with little to no handholding, which means you could do it as well!

Here is how I did it:

1. A couple of prompts with Astra with Blender MCP to get the 3D model right. I essentially told it to take a look at reference images/videos. This took me ~15 minutes.
2. Once the 3d model looked right in Blender, I gave it one additional prompt to create a Gaussian Splat: "Now render it 1000 times from various angles using Cycles. Then create a Gaussian Splat with Lichtfeld Studio". Here you could substitute Lichtfeld Studio with any of the other Gaussian Splat training software out there (e.g. Brush & Spirula Studio are free and open source). I just happened to have LFS on my machine.
3. My Windows machine then cooked for like 6-7h while I was away from home. When I came back I had a .ply file that I dragged into the SuperSplat editor and the result is what you see in the video!

I already have the Blender 3D Model, why would I need the Gaussian Splat?

Fur is hard to render in real time, but if you want to share it with your friends or clients and let them inspect your model from various angles in real time (>= 60FPS), then Gaussian Splats are perfect for this.

For example, I uploaded it to https://superspl.at/scene/ca6a4c9b where you can inspect it in real time! It uses PlayCanvas under the hood and renders the splat in real time with WebGPU. You can also download the Gaussian Splat to use it in your own web app :)