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    GPT-5-based agent frameworks reportedly score 70% on OSWorld, close to a 72% human mark

    Another post, citing unspecified reports, says OpenAI is preparing a visual Agent Builder, with an announcement expected at DevDay.

    Rohan PaulRP
    2 Sources, 366d ago, first seen 366d ago

    TLDR

    One post claims GPT-5-based agentic frameworks reached 70% on OSWorld, a cross-OS computer-use benchmark, close to what it calls a 72% human mark. The author argues that human-level computer use may be within reach. Separately, another post, citing unspecified reports, says OpenAI is preparing Agent Builder, a visual workflow canvas with drag-and-drop design, MCP connectors and built-in guardrails. It expects an announcement at DevDay.

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    2 Sources, first seen 366d ago

    Combined views

    56.7K

    2 Sources, first seen 366d ago

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    2 Sources

    Haider.@haider1now this is big... GPT-5-based agentic frameworks have reached 70% on the OSWorld benchmark — a real-computer, cross-OS environment for multimodal agents and that score is close to the 72% human mark. this can only suggest that human-level computer use is now within reach366d
    Rohan Paul@rohanpaul_ai🤖 As per reports from various sources, OpenAI is preparing Agent Builder, a visual canvas to compose agent workflows, with an announcement expected at DevDay. i.e. drag and drop flow design, MCP connectors, and built-in guardrails for production agents. Compared to n8n or Zapier, the aim is native agents rather than generic web automation, so tools and context come through standard MCP instead of ad hoc APIs. The canvas includes logic nodes like if else and loops, plus file search and data transforms, so multi-step plans fit in one graph. Templates cover customer support, data enrichment, Q&A, and document comparison, which cuts setup time for common jobs. Flow creation lives in a dedicated UI with a component palette, and there are preview and testing modes before publish. Under the hood this lines up with OpenAI’s Agents SDK, Responses API, and observability that trace tool calls and steps. Connectors and approvals match the broader ChatGPT agent work, where authenticated actions and scheduled runs are first class. --- testingcatalog .com/openai-prepares-to-release-agent-builder-during-devday-on-october-6/365d

    2 Sources

    Haider.@haider1now this is big... GPT-5-based agentic frameworks have reached 70% on the OSWorld benchmark — a real-computer, cross-OS environment for multimodal agents and that score is close to the 72% human mark. this can only suggest that human-level computer use is now within reach366d
    Rohan Paul@rohanpaul_ai🤖 As per reports from various sources, OpenAI is preparing Agent Builder, a visual canvas to compose agent workflows, with an announcement expected at DevDay. i.e. drag and drop flow design, MCP connectors, and built-in guardrails for production agents. Compared to n8n or Zapier, the aim is native agents rather than generic web automation, so tools and context come through standard MCP instead of ad hoc APIs. The canvas includes logic nodes like if else and loops, plus file search and data transforms, so multi-step plans fit in one graph. Templates cover customer support, data enrichment, Q&A, and document comparison, which cuts setup time for common jobs. Flow creation lives in a dedicated UI with a component palette, and there are preview and testing modes before publish. Under the hood this lines up with OpenAI’s Agents SDK, Responses API, and observability that trace tool calls and steps. Connectors and approvals match the broader ChatGPT agent work, where authenticated actions and scheduled runs are first class. --- testingcatalog .com/openai-prepares-to-release-agent-builder-during-devday-on-october-6/365d