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SEC Hosts Roundtable on Machine‑Readable Data in the Age of Super Intelligence

1 reports1 sources10/19/2026 updated

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The U.S. Securities and Exchange Commission (SEC) will hold an open roundtable on November 9 in Washington, D.C., to discuss the use of machine‑readable data in the super‑intelligence era and the associated risk costs. Chairman and economist Joshua White emphasized that high‑quality information is essential in the super‑intelligence age. The meeting aims to understand how markets and investors can leverage machine‑readable data to support super‑intelligence initiatives and to guide the development of the SEC’s committee on this topic. The session will be livestreamed, with a limited number of in‑person attendees and security screening for visitors.

Written with AI from the reporting · updated 10/19/2026

Latest developmentOct 20, 01:19
SEC to Host Roundtable on Machine-Understandable Data and Super Intelligence on November 9
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  1. 1Unclassified fact stationNov 9, 00:00recorded Oct 20, 03:13single sourcerevised

    SEC 举行机器可读数据时代超级智能圆桌会议

    Read original source ↗ U.S. SEC · Press ReleasesReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject：
    sec
    Action：
    举办圆桌会议
    Object：
    讨论机器可读数据和超级智能相关风险与成本
    Occurred (fact side)：
    Nov 9, 00:00
    U.S. SEC · Press Releases ↗Report pageRevision 2 · currently revised
    Published (valid side)：
    Oct 20, 01:19
    First seen (known side)：
    Oct 20, 03:13
    Fact stationSingle source · one-sided claimRevised

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Oct 20
  1. U.S. SEC · Press ReleasesFirst-party sourceRelated fact: single sourceSource report revised
    SEC to Host Roundtable on Machine-Understandable Data and Super Intelligence on November 9

    Report first recorded Oct 20, 03:13

    The U.S. Securities and Exchange Commission announced a public roundtable scheduled for November 9, 2026, to discuss the use of machine-understandable data and Super Intelligence (SI) and associated risks and costs. Chief Economist Joshua White stated that high-quality information is critical in the age of SI, and the event aims to gather market feedback on how the investing public is using machine-understandable data for SI solutions.

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