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The Federal Trade Commission has issued a 50‑page request for detailed records from OpenAI and Anthropic, demanding insight into security incidents, safeguards, marketing practices, and privacy handling—highlighting regulators’ growing scrutiny over who controls and protects AI model data.
At the same time, Meta is set to expand its data acquisition reach: new business terms effective Oct. 30 will legally allow the company to scrape and train on content from publishers’ websites, a move that could reshape ownership of the underlying training data.
Anthropic’s investor day revealed a shift in market expectations: investors now peg the upcoming IPO at roughly $1.5 trillion, down from the earlier $2 trillion estimate, underscoring how valuation pressures are influencing decisions about model commercialization and stewardship.
Adding to the turbulence, chatbot startup Character.ai has filed for bankruptcy, illustrating the financial risks facing smaller AI firms trying to protect or claim ownership of their models.
Together these developments signal a rapid re‑evaluation of AI model ownership—from regulatory demands and corporate data‑trawling strategies to fluctuating market valuations and the insolvency of players in the space. [[1]]