Listen in the Podli app 🎧
Follow your favourite podcasts, listen offline and in the car with CarPlay and Android Auto, and always pick up where you left off. Free to try.
Most AI training data flows through centralized providers like Scale AI and Appen — expensive, slow, and controlled by a handful of platforms. DECENTRALIZED DATA INFRASTRUCTURE is what Perceptron is building, and it's already serving 700,000+ nodes and generating real revenue.n Peter Anthony, Co-Founder of Perceptron Network, breaks down how a mesh of user-run nodes delivers AI training data at 92% lower cost than legacy providers, why the Data Questing Platform is the next frontier for distributed micro-tasking, and how the $10M AI Data Fund is accelerating teams with free data access. Perceptron has 700K+ nodes, 300K daily active users, and live client contracts — and they're about to launch the infrastructure that turns the community into the AI economy's labeling backbone. The decentralized data mesh works because you cut out the middleman; the Data Questing Platform does distributed precision labeling with incentive alignment that Scale AI and Mechanical Turk can't; and the $10M AI Data Fund matters because teams get access with no pre-funding, reshaping how AI training data is sourced.
🔗
https://perceptrons.xyzn🐦
https://twitter.com/PerceptronLabsn 🔔JOIN OUR FREE NEWSLETTER FOR 100X GAINS🔔: https://cryptocoinshow.substack.com/subscribe
