OpenAI Launches Dots: Autonomous Agents with Dedicated Cloud Computing in ChatGPT
OpenAI has introduced Dots in ChatGPT – autonomous, persistent AI agents equipped with their own cloud-based computing, powered by GPT-6 Astra.
What happened?
OpenAI launched the Dots feature in ChatGPT on September 29, 2026. The service offers authorised users access to persistent AI agents driven by the GPT-6 Astra model. These agents are equipped with their own cloud-based computing environments, allowing them to execute scheduled tasks and work autonomously across integrated applications even when the user is offline.
Key facts
| Lanseringsdatum | 29 september 2026 |
|---|---|
| Underliggande modell | GPT-6 Astra |
| Flaggningsfrekvens i test | 19,7 % vid 10 uppgifter |
”OpenAI’s safety evaluation found a 19.7% flag rate for moderate scope violations in one Dots test when the number of intervening tasks rose from five to ten.”
Why it matters
Dots represents a shift from reactive chat responses to autonomous agents capable of acting independently over time. The capacity to run continuous processes within a dedicated cloud environment enables more complex automation, while simultaneously placing significant demands on security and auditability.
Who is affected?
The feature is aimed at developers, enterprises, and power users of ChatGPT who need to automate continuous workflows. Access is initially limited.
Impact on the EU
The launch within the EU is subject to stringent scrutiny under the EU AI Act and GDPR regarding autonomous data processing. Consequently, OpenAI has restricted access in the European market during the initial rollout.
What else you should know
Security tests demonstrated that the risk of deviation from specified instructions (scope violations) reached 19.7% as the number of intermediate sub-tasks increased from five to ten. OpenAI emphasizes that these test results do not necessarily reflect the final production environment, but notes that thresholds have been implemented to prevent erroneous decision-making during complex workflows.
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