
transcript
show notes
At OpenAI DevDay 2026, I set up my own dot, a lavender owl called Turrie, and started finding out what an always-on AI assistant can actually take off my plate.
In this episode of Attention Span, we walk through OpenAI Dots. What happens when an assistant can carry context between conversations and notice work you haven’t thought to ask for?
We look at GPT-6 Astra, the infrastructure around it, permissions, and where human oversight comes in. We also explore how Dots fits alongside Grok Bot, Meta’s Muse, and Anthropic’s Cowork.
The question: can Dots close the gap between what AI can do and what we actually manage to do with it?
Watch the walkthrough, then tell me: would you prefer one AI assistant for everything, or several for different tasks?
👉 Subscribe for high-signal AI analysis
👉 Instagram: https://www.instagram.com/turingpost_tv
👉 TikTok: https://www.tiktok.com/@turingpost_tv
👉 More analysis: https://www.turingpost.com/
👉 Interviews: @realturingpost
Attention Span is here to show you AI isn’t magic. This time, we look at what it takes to leave work with an AI assistant and trust it to follow through.
Links:
Introducing Dots: https://openai.com/index/introducing-dots/
Getting started: https://help.openai.com/en/articles/20001530-getting-started-with-your-dot
Safety, security, and privacy: https://openai.com/index/how-we-build-safety-security-and-privacy-into-dots/
Turing Post’s Dots analysis: https://www.turingpost.com/p/dots-openai
#AttentionSpan #OpenAIDots #OpenAI #AIAgents #AIAssistant #TuringPost