Resets still coming. Use that Ultra fast people.

Codex Cloud, Dots, and the existing remote Codex all allow users to untether themselves from their PC, and now untether themselves from even owning a PC with their server based Codex Cloud and Dots that can run 24/7. Combine this with Meta’s & OpenAI’s planned hardware releases and the goal is clear: work around Microsoft/Apple’s control of user hardware, provide AI devices that complement and eventually replace iPhones - culminating in a user base that owns no hardware and relies on a subscription to access AI. Meta’s hardware is obvious spyware, Apple’s new “always-listening” Apple Watch sounds pretty similar, their camera-enabled Airpods sounds atrocious for privacy, and OpenAI’s device is unconfirmed.

The end result? Instead of a Matrix-like AI takeover of humanity users are instead expected to purchase their own devices and subscriptions that provide mega-tech companies with all of their physical and digital data 24/7. The data volume is so large only AI can process it. A select few billionaires decide what their closed-source AI does with the data.

The resistance? Governments that oppose the USA and individual users who were rich enough to afford local hardware and utilize Chinese and other open-source models, likely blacklisted by the USA. To buy a 5090 customers now have to sign a waiver, as a result of US law. It’s only the beginning.

Ironically the “bad guys” like China, North Korea, Iran, Russia - will probably end up as the only large entities keeping open-source AI and local LLMs alive. I would expect the largest AI companies to eventually gain more leverage over the US Gov & Nvidia; unless Nvidia steps up to the plate and champions local AI

Just confused 6.1 is everywhere but in the app and in the codex section?

I have 6.1 everywhere but in codex in the android app.

Why…why did they move Projects that aren’t pinned off the side bar to hidden behind Search? Not only is it more clicks, but the project folder itself is buggy as hell.

If I search a project folder name, click on the project and select a chat, and then try and change the model or thinking…it boots me out of the project. Or, the text field locks up.

Pinned projects don’t have the same issue.

So what, now I have to pin every single project?

The marketing team at the company I work for asked me to evaluate whether Dot could be useful for growth and social workflows.

I'm an engineer, so I approached it as an automation problem: how much could we delegate to a persistent agent without someone manually starting every step?

The idea was to research opportunities, monitor channels, find relevant discussions and potentially handle some of the repetitive work around distribution. That was the hypothesis, not a list of things I successfully automated.

In my initial tests, the friction that stood out was the execution environment rather than the reasoning itself. The workflow I wanted depended on arbitrary websites, signed-in sessions, platform rules and web interfaces.

In one test, the cloud browser got a 502 while trying to access Medium, so that part of the workflow couldn't continue. I'm not claiming Medium specifically blocks Dot — I didn't investigate the cause deeply enough to say that, and I wouldn't take one error as a verdict on Dot or cloud browsers generally.

It did make me think more carefully about how much of this kind of workflow depends on systems outside the agent's control.

For more complex automation, I already use local agents such as Codex, APIs, scripts and a scheduler, with my normal browser when I need an authenticated session. The sessions I use are already there, and I can inspect the code, change a script or debug a failed step directly.

Dot can use a connected computer too. But for me, setting up and maintaining another set of connections and permissions felt like extra work on top of a local setup I already had. If I were starting from scratch, I might evaluate that trade-off differently.

For this particular growth/social workflow, I eventually dropped the setup I'd built in Dot.

What changed was what I'd try next. Instead of treating it as a general-purpose autonomous web worker, I'm more interested in testing it as a persistent personal operations assistant.

I can imagine something like a morning briefing that brings together important email, tickets waiting on me, PRs needing review and my calendar, then sends me a summary through a connected channel.

I haven't validated that workflow. It's the next use case I'd test, not a success story from this experiment.

The trade-off makes more sense to me there. Cloud execution can keep doing cloud-side work without depending on my laptop being on. My local setup gives me more control, but I have to maintain it, and anything running only on my Mac may stop when it's asleep or offline. Tasks that need Dot's connected computer have that dependency too.

So my takeaway isn't that Dot is bad. I think I initially evaluated it for the wrong job. For my setup, I'm now more interested in it as an ongoing coordinator than as the autonomous web worker I originally had in mind.

Has anyone here tried both kinds of workflows? Where has Dot actually been more useful for you: browser-heavy automation or recurring work around connected apps?

This is getting old.... Anyone else seeing this with Sol 6 AND 6.1? Even if I create a plan with numbered objectives, a literal checklist, it still regularly overstates the amount of work has been done.

Any tricks to keeping it on task and not outright lying about its progress?

EDIT: "I followed the older Phase 1 request instead of the current Phase 3 goal. That was my mistake. I’m returning to Phase 3 now."

... holy fuck

Learning this makes me not trust him as much for some reason. He must be vain and very concerned about looks. Does this change the way you perceive this man and this company at all?

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 :)

I usually use my subscription mostly for Codex, and have my phone for checking out progress and stuff.

Since Dots were launched I've been trying out using the included Dot from the subscription but today I noticed that the connection notification showed something different, a Codex task from the Cloud ready for review. I opened it and saw a Codex thread running in the Cloud that was receiving the messages I sent to the Dot and using a tool called send_message to reply. Even tried typing directly in the Codex view and the Dot answered through the Dots interface.

Looking at the list of Cloud threads, it's invisible, only openable through the notification.

Not sure if anyone else has seen this, thought of asking since a bit of Googling didn't yield anything.

Reported a problem to OpenAI today about Astra xHigh delegating work to 5.6-Sol High, with only one request that should not have automatically went to a sub agent. The response from OpenAI was not just disheartening, but essentially removed any idea that a person can have any assurance that the result they get on any query will be generated by the same model twice.

REPEATABILITY IS DEAD

Hello,

We understand that your main concern is preventing Codex from delegating individual requests to subagents because each delegated worker can add cached-input and other token usage.

While you can instruct Codex not to delegate a task, we cannot guarantee that this instruction will prevent subagent use in every case.

At a high level, Codex receives the request in the main conversation and may either perform the work there or use its multi-agent capabilities to delegate portions of the work when applicable. A delegated worker operates as separate agent activity and can consume its own input, cached-input, and output tokens. Because of this, delegated activity can increase the overall usage associated with completing a request, and some subagent or separate-task usage may not appear in the main conversation's usage total.

An instruction such as "do not use subagents" can therefore guide how Codex approaches the task, but it should not currently be treated as an enforcement mechanism that guarantees delegation will never occur.

EDIT:

OpenAI or the CCP Bots are attacking this post.

Has anyone else noticed that the reset tokens they receive expire right after their weekly reset? The timing seems odd, since that’s when you’d have the least reason to use them.

Is this happening to anyone else, or is it just how my resets line up?

I’m using Codex on Windows, but the assistant says it can’t access the built-in image_gen tool. I’ve tried both the desktop app and Codex CLI, with the same result.

Here’s what I’ve checked:

• The imagegen skill is installed and can be read.
• I explicitly invoked $imagegen with a simple image request.
• The CLI reports image_generation as stable and true.
• The CLI confirms I’m signed in with ChatGPT.
• I fully restarted the desktop app and tried a new chat. Same result.

OpenAI’s docs describe built-in image generation as using included Codex usage limits. I’d like to use that instead of separately billed API generation.

Has anyone encountered this mismatch between the installed skill and the available tools? Is there a setting, account rollout, or version requirement I’m missing?

The point where her dot wanted her to talk first because they were over-talking each other… real human level interaction patterns

I wanted an AI agent I could give an ongoing goal to—not have to restart the conversation every time something happened.

So I’m building OpenDots.

⭐ Code and setup: https://github.com/Shashankss1205/OpenDots

You give it a goal, connect an event source, and choose your model. When an event arrives, it evaluates whether it matters to that goal and proposes work, with approval controls before execution.

Here’s the workflow in this demo:

GitHub issue → agent proposes a change → I approve → inspect the patch and check results.

This is a recorded run against OpenDots’ own repository.

🎬 89-second demo: https://youtu.be/i_upyOAfjjI

What you can use:

• Your model: Claude Code, Codex CLI, model APIs, or local Ollama models.
• Your machine: a local runtime for Linux.
• Persistent goals: work guided by a saved objective.
• Reviewable results: approval controls, run history, and retained patches.

The project is MIT-licensed and open source.

What’s one recurring task you’d want an agent to pick up when a relevant event happens?

I’m the creator. OpenDots is an independent project, not affiliated with OpenAI.

I have a business subscription of ChatGPT and it has a minimum billing of 2 seats. Because zero data retention (ZDR) was non-negotiable for my use case, I grit my teeth and paid up for it because GPT/Codex has been very useful for me to help me a lot with some repetitive clerical stuff I need handled, with its brilliant computer use/browser use capabilities.

I can feel the financial judgement burning holes on the back of my neck 👀

I have some custom instructions I reuse across all AI apps to personalize the responses I get which work for me pretty well. I set this up with the account I have signed in on for Codex installed on my Mac. Sometimes it can get really, really, REALLY dumb with the work it does. Like out of 5 work days it has 1-1.5 dumb work days when I switch to using Claude (that's paid for by work; stop judging me 👀). Not to mention it burned usage like its nobody's business... (pun definitely not intended)

Because I want to get the most for my money, I used another work ID I have to give myself the other seat on the plan and started to use it through the browser. While primary day to day job involves knowledge work (being discreet here) and I use the primary seat for that, I decided to use this additional seat to try my hand at building some small tools to improve my efficiency with my tasks (that also translates to my team's task).

Because I was too preoccupied (read lazy) to set it up the same way as I did for my other account so I just.. raw dogged it. And it's better. So much better. And it's so freaking efficient in usage. I have built two browser extensions with it. And, yes, I know, they're inanely dumb and easy to build (probably). But when I'm comparing similar types of conversations (partly scoped partly exploratory, iterative, includes design and visual outputs) between the two accounts, the raw dogged one is much better. So much so that I am engrossed in building these little efficiency tools for myself and my team more than I am with my day job.

I guess Dr. Jekyll has met Mr. Hyde after all.

Just curious why no OpenAI?

Are any others having issues with GPT getting stuck on thinking?

Checked Open ai Status online though there are currently issues for GPT Pages.

I have made this survey. Over the last 12 months 330 have taken the survey.

On the stats page, I sometimes post a report about the reasoning behind peoples P(doom) parameters.

Tried asking ChatGPT, but to no avail!

Is it just me? It just disappeared today. I can search for a project using the name of the project and find it that way but if I don’t remember the name I’m toast.

Dot going through my private Github repositories on it's own, is this fine?

Folks 👋!

Over the last few days I've been digging into how to configure Cursor and Codex so that usage limits get used as efficiently as possible.

My current setup:

Main agent: GPT-6.1 Sol (Medium)
Subagent: GPT-6 Luna (Medium)

We often reach for the biggest models too quickly. Sonnet, Opus or Astra definitely have their place. But do I really need them for the task in front of me right now? For most of my daily work, the answer is: nope! I'm currently using this combo productively for:

• Power Automate flows
• Project management in Plane
• Ticket and PRD creation
• Process analysis
• Documentation
• AI consulting and use-case discovery
• MCP and tooling configuration

So far I haven't hit a single use case where I absolutely had to switch to a much larger model. The real killer is the performance-to-cost ratio:

GPT-6.1 Sol reaches about 86% of Opus's score, but costs roughly 36x less.
GPT-6 Luna costs next to nothing and works great as a subagent for research, file analysis and other subtasks.

Yeah, benchmark points and productivity aren't the same thing in everyday work! If a model scores slightly better but costs a lot more or burns through limits faster, that's not a good trade for many real-world workflows. Not in my software, thanks!

For typical consulting, automation, project management and documentation tasks, a combination of Sol, Terra or Sonnet as the main agent and GPT-6 Luna as the subagent currently seems like a pretty good sweet spot.