Tools

OpenAI launched Dots on September 29, introducing persistent agents that run on cloud computers, use connected applications and continue assigned work when the user is absent. The product changes the unit of interaction from a conversation to an ongoing working relationship. A Dot can keep several projects active, retain context across ChatGPT, Slack and Microsoft Teams, and contact its user with progress reports or decisions that require approval. Why it matters: A worker delegating a continuing responsibility gives the system more time, context and opportunity to act than a single chat permits. That makes permissions, audit records and interruption controls part of the product rather than optional deployment work. ...

OpenAI added shared Spaces, collaborative Pages and team tasks to ChatGPT on September 29, extending the product from individual conversations into a workspace for people and agents. The release gives teams a shared location for knowledge and ongoing work. ChatGPT can organize a Space using team instructions, while Pages support joint writing, research, charts and images. Business and Enterprise customers can also assign recurring tasks that use connected tools on a schedule or after events such as a new email. ...

PostHog released a reasoning-based decision model while OpenAI expanded its developer, pricing and enterprise-distribution offers. Community discussions focused on privacy measurements, data-centre economics and possible restrictions on Chinese open weights. » Why it matters: The day’s lower-ranked releases and discussions show where AI products are being packaged for routine work—and where users still lack independent evidence about performance, privacy and cost. In brief PostHog adds reasoning to a decision model. Jeeves is a 9-billion-parameter, Jev-compatible model that answers yes-or-no, multiple-choice and rating questions after an optional reasoning stage. PostHog released weights, code and data and reports stronger results than Jev on selected public tests; those results remain developer-run. It is worth watching because it combines a constrained decision interface with a slower reasoning path instead of sending every classification task to a general chatbot. Source ...