Topic

GPT-6.1

All digests tagged GPT-6.1

Live from OpenAI DevDay 2026: Keynote thumbnail

· 53:38

Live from OpenAI DevDay 2026: Keynote

OpenAI unveiled major advancements across AI agents, model performance, and developer tooling. Key launches include 'Dots,' always-on AI agents designed to handle complex, ambitious tasks like tracing dependencies and writing code. The platform is enhanced by 'ChatGPT Space,' a collaborative environment for teams and agents. Technically, the focus was on speed and capability, introducing GPT-6.1 for cost-effective intelligence, 'UltraFast' for rapid token generation (up to 300 tokens/sec), and the 'Decisions API' for fast, focused model responses. Developer access is expanded with 'Codex in the Cloud,' 'Private Tensors (Z-D.R.)' for enhanced privacy, and 'API Canvas' to facilitate multi-agent workflows.

Key takeaways

  1. AI Agents (Dots)

    Dots are always-on agents designed to handle ambitious, multi-step tasks, such as monitoring bug reports, testing fixes in draft PRCs, or tracing dependencies to migrate an app off a legacy API. They function as a 'second brain' and can operate across the cloud.

  2. Collaborative AI (ChatGPT Space) 3:30

    A new dedicated space for teams and agents to work together, allowing for interactive charts, live prototypes, and delegating tasks to multiple Dots simultaneously.

  3. Model Performance & Speed 9:10

    Launch of GPT-6.1, offering a balance of cost and capability. 'UltraFast' was introduced across the API, ChatGPT, and Codex, providing significantly increased speed (up to 300 tokens/sec). The 'Decisions API' allows models to respond quickly by focusing on a pre-defined set of options.

  4. Developer Platform Enhancements 15:50

    Codex is now available in the cloud, allowing tasks to start on a phone and continue on a desktop. New features include 'Private Tensors (Z-D.R.)' for frontier model safety without storing content on OpenAI's servers, setting a new standard for privacy.

  5. Multimodality and Computer Use 18:20

    The Astra model demonstrates advanced capabilities, including interpreting sketches, building apps, and interacting with the operating system (computer use) in real-time, showcasing the integration of voice, vision, and code.

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