
OpenAI launches Dots, new ‘always-on agents’ you can assign tasks to
Out of OpenAI DevDay 2026, Dots are OpenAI’s answer to giving users a way to assign tasks to an AI agent to run in the background. The company says that Dots, powered by GPT-6 Astra, has “their own cloud computer” and can use that to accomplish tasks that you have assigned. You can interact with Dots via ChatGPT, Slack, or Teams once they’ve been set up.
- ▪Out of OpenAI DevDay 2026, Dots are OpenAI’s answer to giving users a way to assign tasks to an AI agent to run in the background.
- ▪The company says that Dots, powered by GPT-6 Astra, has “their own cloud computer” and can use that to accomplish tasks that you have assigned.
- ▪You can interact with Dots via ChatGPT, Slack, or Teams once they’ve been set up.
5 outlets in our directory ran this story, first to last over 1 hour. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ OpenAI Goes After Meta's Muse With Always-On Dots Agents — PCMag
- ▪ OpenAI’s Dots Are Always-On AI Agents—and Its Answer to Meta’s Muse - WIRED — Google News
- ▪ OpenAI just launched Dots to do things for you — and take on Meta’s Muse — Tom's Guide
- ▪ OpenAI’s Dots Are Always-On AI Agents—and Its Answer to Meta’s Muse — WIRED
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Story provenance
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Record
| Original publisher | 9to5Google |
| Canonical URL | https://9to5google.com/2026/09/29/openai-dots-agent/ |
| Publication time | Tue, 29 Sep 2026 17:55:00 +0000 |
| Retrieval time | 2026-09-29T17:57:32.647Z |
| Last seen | 2026-09-29T17:57:32.647Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | YeUkK9HA847X · 7 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at 9to5Google.