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Why AI Models Need Human Data: Inside PublicAI's Contributor Network Strategy
In this episode of Tech Ascent, host Oliver Clingain sits down with Jordan Gray, Co-Founder and CMO at PublicAI. Jordan breaks down how PublicAI is building the “human layer” of AI—a global contributor network of 3.5M+ people providing real-world data (video, audio, image, text) that powers production-grade models.
They dive into why synthetic data isn’t enough, how PublicAI grew from under 1M to 3.5M contributors in a year using Web3 incentives, and what it really takes to market highly technical AI infrastructure without sounding like everyone else.
What You’ll Learn:
- Why high-quality human data is still the bottleneck for production AI and how PublicAI solves it
- How they scaled from less than 1M to 3.5M contributors using USDC rewards, crypto rails, and community growth loops
- The power of point systems & gamification for rewarding users (even without touching crypto)
- How to talk to deeply technical buyers without getting instantly tuned out
- Jordan’s playbook for founder-led / CMO-led content: consistency, experimentation, and staying human in an LLM-saturated feed
- PublicAI’s roadmap for 2026: self-serve data campaigns, agentic onboarding, and expanding beyond crypto into Web2 payments (PayPal, coupons, more)
About This Episode’s Guest:
Jordan Gray is the Co-Founder and CMO at PublicAI, where he’s building a global marketplace for human data that makes AI smarter, safer, and more useful in the real world. With 20+ years in marketing across Omnicom agencies, Google, and Web3 (NEAR Foundation), Jordan blends deep brand experience with hands-on startup execution—helping PublicAI serve both AI teams that need better data and millions of contributors who want to earn from their expertise.
Connect with Jordan
LinkedIn: https://www.linkedin.com/in/jordanjamesgray/
Website: https://publicai.io/
Connect with Oliver and Ascenxion:
LinkedIn: https://www.linkedin.com/in/oliver-clingain
Website: https://ascenxion.io/
Видео Why AI Models Need Human Data: Inside PublicAI's Contributor Network Strategy канала Tech Ascent
They dive into why synthetic data isn’t enough, how PublicAI grew from under 1M to 3.5M contributors in a year using Web3 incentives, and what it really takes to market highly technical AI infrastructure without sounding like everyone else.
What You’ll Learn:
- Why high-quality human data is still the bottleneck for production AI and how PublicAI solves it
- How they scaled from less than 1M to 3.5M contributors using USDC rewards, crypto rails, and community growth loops
- The power of point systems & gamification for rewarding users (even without touching crypto)
- How to talk to deeply technical buyers without getting instantly tuned out
- Jordan’s playbook for founder-led / CMO-led content: consistency, experimentation, and staying human in an LLM-saturated feed
- PublicAI’s roadmap for 2026: self-serve data campaigns, agentic onboarding, and expanding beyond crypto into Web2 payments (PayPal, coupons, more)
About This Episode’s Guest:
Jordan Gray is the Co-Founder and CMO at PublicAI, where he’s building a global marketplace for human data that makes AI smarter, safer, and more useful in the real world. With 20+ years in marketing across Omnicom agencies, Google, and Web3 (NEAR Foundation), Jordan blends deep brand experience with hands-on startup execution—helping PublicAI serve both AI teams that need better data and millions of contributors who want to earn from their expertise.
Connect with Jordan
LinkedIn: https://www.linkedin.com/in/jordanjamesgray/
Website: https://publicai.io/
Connect with Oliver and Ascenxion:
LinkedIn: https://www.linkedin.com/in/oliver-clingain
Website: https://ascenxion.io/
Видео Why AI Models Need Human Data: Inside PublicAI's Contributor Network Strategy канала Tech Ascent
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18 декабря 2025 г. 21:11:57
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