DWeb Decoded Decentralizing the AI Data Supply Chain with Trevor Koverko | DWeb Decoded
May 30, 2025
Trevor Koverko, Co-Founder of SapientAI and former professional hockey player, dives into the world of decentralized data for AI training. He discusses the importance of human-augmented data and the transition from traditional supply chains to gig economy models for data labeling. Koverko draws parallels between teamwork in sports and tech innovation, highlighting the critical role of collaboration. He also explores the challenging landscape of asset tokenization and the potential for AI to transform job opportunities in blockchain gaming.
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From Hockey to Crypto Entrepreneur
- Trevor Koverko shared how his hockey career shaped his business mindset and teamwork skills.
- An injury ended his sports career abruptly, leading him into Silicon Valley and eventually crypto and tech entrepreneurship.
Data as AI Bottleneck
- Data is the true bottleneck in AI development, surpassing chips and infrastructure.
- Humans play an essential role in creating and refining data for training AI models.
Old-School AI Data Farms
- Current AI data production often happens in centralized data farms resembling call centers in developing countries.
- These operations struggle with quality assurance due to manual oversight and human error risks.