Oasis founder Dawn Song joins Meta Superintelligence Labs as VP of AI Research

Dawn Song, UC Berkeley professor and founder of blockchain Oasis, joined Meta's Superintelligence Labs as VP of AI Research on June 25, focusing on AI safety and security. Her departure from Oasis raises questions for ROSE token holders, as the token has declined 99% from its all-time high. The move highlights the talent drain from crypto to AI labs, leveraging skills in cryptography and secure computation.

Oasis founder Dawn Song joins Meta Superintelligence Labs as VP of AI Research The UC Berkeley professor and blockchain pioneer leaves a trail of questions for ROSE token holders as she pivots to AI safety at Meta Dawn Song, the UC Berkeley professor who founded privacy-focused blockchain Oasis, has taken a new job as Vice President of AI Research at Meta’s Superintelligence Labs. Song announced the move on June 25, shifting her focus from decentralized privacy infrastructure to making sure Meta’s AI models don’t go sideways. Her mandate at MSL centers on AI safety and security for systems that serve billions of users globally. From blockchain to big tech Song’s career reads like a tour through every major tech anxiety of the last decade. She ran the UC Berkeley Center for Responsible Decentralized Intelligence, launched Oasis Labs to build privacy-preserving blockchain infrastructure, and co-founded Virtue AI in 2024 to tackle responsible AI development. Several core team members from Virtue AI have reportedly followed Song to Meta MSL, suggesting this wasn’t a casual recruitment but a deliberate talent acquisition. What this means for Oasis and ROSE The ROSE token that once peaked at $0.596 now trades at roughly $0.006. That’s a 99% decline from its all-time high. Oasis Labs raised $45 million back in 2018 from heavyweight investors including a16z Crypto and Binance Labs. No significant price movement in ROSE followed the announcement of Song’s departure. Why investors should pay attention The more interesting story here isn’t about one token. It’s about the gravitational pull that AI labs are now exerting on crypto’s best technical minds. The skills overlap is real: cryptographic verification, secure computation, adversarial robustness, and privacy-preserving architectures are all relevant to the challenge of building AI systems you can actually trust. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .