OpenAI bought a voice cloning startup famous for celebrity imitations

· Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

OpenAI quietly acquired the small startup Weights.gg earlier this year, a company known for offering AI tools capable of cloning voices, including those of celebrities like Samuel L. Jackson, Taylor Swift, and Donald Trump. The acquisition, first reported by the New York Times citing anonymous sources, did not disclose the purchase price. Weights.gg operated as a social network where users could create and share AI algorithms. The startup, which had approximately six employees and raised about $4 million in venture capital, announced its departure to its community on April 1, 2026, with its team now integrated into various OpenAI groups. OpenAI reportedly has no plans to release a direct product similar to Weights.gg, instead integrating its voice technology into existing offerings like ChatGPT's voice mode and a developer API, having previously withheld its own voice cloning tech in 2024 due to safety concerns.

Key takeaway

For CTOs and VPs of Engineering evaluating AI voice capabilities, this acquisition signals OpenAI's strategic focus on integrating advanced voice cloning into its core platforms rather than launching a dedicated product. Your teams should explore the enhanced voice features within ChatGPT and the developer API for future applications, recognizing OpenAI's cautious approach to standalone voice cloning releases due to safety considerations. This move reinforces the importance of ethical AI deployment.

Key insights

OpenAI acquired voice cloning startup Weights.gg to integrate its technology into existing products, not for a standalone release.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Product Manager, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.