When Your AI Data Becomes Evidence

OpenAI has introduced dots, a new generation of autonomous AI agents designed to work continuously on your behalf. Powered by frontier intelligence, each dot operates with its own secure cloud computer, learns your preferences over time, and connects to more than 4,000 applications. Users can communicate with their dot across ChatGPT, Slack, and Microsoft Teams through text or voice calls. Key highlights from the launch: * Autonomous task execution: Dots can research, analyze data, update proposals, draft software pull requests, and assemble content, all while adapting to individual standards and feedback. * Omnichannel collaboration: They retain context across multiple communication tools, providing updates and asking for clarification only when required. * Granular permissions and safety

I've been using Claude (Opus 5.5) inside Blender, and one thing changed my results more than any prompt wording did. What I realized: Claude becomes a far more efficient blockout tool when you actually project your intent into the space, instead of just asking it for the shape you want. A sentence is good at saying what something is. It is bad at saying where things go, how big they are and how many there are. So I stopped typing that part. Total API cost Tokens spent(Mtok) Runtime $16.07 33 48.5 min Textures and the night sky are CC0 from Poly Haven. (thank you) Has anyone found the same thing in other tools, giving Claude a drawing or a spatial reference instead of a longer prompt? submitted by /u/RielUniverse [link] [comments]