TikTok Algorithm to Be Retrained on US User Data in Trump Administration Deal
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TikTok Algorithm to Be Retrained on US User Data in Trump Administration Deal

Under a proposed agreement, TikTok’s recommendation system will be audited and rebuilt using data from its American users, overseen by Oracle and a new US-based venture to address national security concerns.

TikTok’s recommendation algorithm will be duplicated and retrained using data from its 170 million US users under a new agreement endorsed by the Trump administration.

Under the deal, technology firm Oracle will audit and host the app’s recommendation system—codenamed Project Texas—and oversee its operation through a newly formed US-based joint venture with American investors. The move aims to satisfy national security requirements and secure the platform’s future in the United States.

The agreement, reportedly approved by the White House, would see President Trump sign an executive order to pause enforcement of a potential ban for 120 days, allowing time to finalize the sale of TikTok’s US operations by its Chinese parent company, ByteDance.

White House officials say the partnership will build a fully separate recommendation engine for American users, inspect and rebuild the app’s source code, and employ “patriotic investors” and cybersecurity experts on its board. The venture is expected to be valued at several billion dollars.

Oracle, which already stores US user data, has seen a surge in demand for its cloud services from AI companies, boosting its market value. Private equity firm Silver Lake is also reported to be part of the consortium backing the deal.

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Rebuilding TikTok’s algorithm on US-based infrastructure aims to address security concerns by isolating American user data and placing control in the hands of domestic investors and regulators.

This topic was reported by BBC News.

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