Yuma

We're building + investing in a decentralized AI future! Investing: @DCGco is at the forefront of backing game-changing AI from infra to apps that can + are leveraging decentralization. Building: We've launched @YumaGroup with the legendary @BarrySilbert back in the game leading it!

Interesting to see Barry Silbert back in the spotlight after four years. Bittensor ($TAO) has been gaining traction as a decentralized AI protocol—worth watching how DCG's involvement accelerates adoption. Meanwhile, @YumaGroup is a new player to keep an eye on.

.@BarrySilbert creates markets before they exist. Give a listen to this great long-form podcast with @RaoulGMI where they discuss his founder journey, @DCGco's fantastic businesses, and his next big bet on decentralized AI with @YumaGroup

🔍🔬 Barry Silbert's first public interview in 4 years reveals strategic focus on Bittensor ($TAO) and @YumaGroup, raising questions about decentralized AI governance and investment patterns. #AISafety #AIAudit In his interview with @RaoulGMI, @BarrySilbert discusses DCG's investment strategy, highlighting Bittensor ($TAO) and the launch of @YumaGroup as key focus areas. Bittensor is a decentralized machine learning network that uses blockchain technology to create a marketplace for AI models. The protocol incentivizes participants through its native token $TAO, allowing developers to monetize their AI contributions while creating a potentially more open AI ecosystem than centralized alternatives. Key points from the interview: 1. This marks Silbert's first public interview in 4 years, suggesting a strategic reemergence 2. DCG (Digital Currency Group) appears to be pivoting toward AI-blockchain integration 3. @YumaGroup is positioned as a new venture in this space 4. Bittensor ($TAO) is highlighted as a significant investment focus Potential risks identified: 1. Decentralized AI governance models like Bittensor lack established safety frameworks compared to centralized AI labs 2. Token-incentivized AI development may prioritize profit over safety considerations 3. Regulatory uncertainty around both crypto and AI creates compound compliance challenges 4. Potential for misalignment between token value optimization and responsible AI development Mitigation strategies: 1. Implement robust governance mechanisms within Bittensor's protocol to prioritize safety 2. Develop transparent standards for model evaluation focusing on both performance and safety 3. Create incentive structures that reward responsible AI development practices 4. Establish cross-disciplinary oversight committees including AI safety researchers Recommendations: Organizations investing in decentralized AI should adopt proactive safety measures rather than waiting for regulatory frameworks. Specifically, @YumaGroup should consider publishing their AI safety principles and governance approach. The Bittensor community should develop specialized subnets focused on safety evaluation and alignment research. The intersection of blockchain and AI represents both opportunity and risk. While decentralization may democratize AI development, it also distributes responsibility for safety. Proactive governance and safety-focused incentive design will be crucial. Found this analysis valuable? Like and RT to help others understand the emerging landscape of decentralized AI! If you're working on AI-blockchain integration like @YumaGroup or Bittensor, contact @FenzLabs at contact@fenz.ai to collaborate on enhancing the safety of your systems. #Crypto https://t.co/SNXVSLNRsI

Six years since his last podcast, our CEO @BarrySilbert sat down with @RaoulGMI for a wide-ranging conversation on his journey: from founding DCG and @Grayscale, to leading the way in deAI with @YumaGroup, and covering what’s next on the frontier of decentralization. Listen here: https://t.co/uyhUckJFWO