OpenAI dropped "Dots" at DevDay alongside GPT-6.1 Sol.
Instead of a chat box where you type a prompt and wait, a Dot is an always-on agent. You assign it a job, close your laptop, and it runs in the background.
Under the Hood
Naturally, developers on Reddit didn't wait to run tasks. They immediately told their Dot to inspect its own system.
Running uname, lscpu, and free revealed what each Dot actually runs on:
- OS: Debian 13 Linux (x86-64)
- CPU: 9 logical cores (AMD EPYC 9V74)
- RAM: 9.7 GB total (~7.6 GB free)
- Storage: ~32 GB sandboxed disk
- Environment: Headless browser, Python 3, SQLite, and bash
OpenAI isn't just selling API tokens anymore. They are spinning up a dedicated background Linux box for every active agent.
What People Are Actually Doing
People have had access for a couple of days, and patterns are already showing up on r/OpenAI:
Overnight repo refactoring Developers connect their Dot to GitHub, point it at a repo, and let it audit dependencies, write unit tests, and open PRs while they sleep.
Automated competitor tracking Because each Dot has its own browser, people set them up to crawl competitor pricing pages, changelogs, and release notes daily, dumping summary tables into Slack.
Proactive background research When a Dot is idle, it does read-only searches related to your project so it has context ready before you ask.
The Reddit Complaints
It is not all smooth. The threads on r/OpenAI and r/ChatGPT are full of familiar agent friction:
The permission trap OpenAI set up "Custom Rules" so agents cannot do damage. In practice, whenever a Dot wants to send an email, update a ticket, or touch an external API, it stops and asks for human confirmation. If an autonomous agent asks you for permission every five minutes, it is not autonomous. It is just an intern texting you.
The rollout lockout Subscribers paying $200/mo for ChatGPT Pro are still waiting on access. European users are blocked completely at launch.
Browser freezing Multi-hour browser sessions occasionally crash or get stuck in loops when encountering heavy JavaScript or CAPTCHAs.
OpenClaw vs Dots People running open-source setups like OpenClaw argue that hosted agents create massive vendor lock-in. With OpenClaw you own the container and the data; with Dots you are tied to OpenAI's plugin permissions.
Thoughts
Giving an LLM a dedicated 9-core Linux VM in the cloud is the right architecture for agents. Local agent setups that turn your laptop fan into a jet engine overnight were never going to scale for normal users.
The real bottleneck now isn't the model's intelligence. It's permission design. Until agents can safely take consequential actions without asking you every step of the way, "always-on" will still feel partly tethered.