Perceptron Network – A Thousand Eyes, One Vision for Decentralized AI Data
About this episode
Peter Anthony discusses the Perceptron Network's approach to solving the AI data bottleneck through decentralized infrastructure.
Peter Anthony is the co-founder of Perceptron Network, a decentralised data infrastructure purpose-built for AI. A crypto native since 2019, Peter also runs The House of Crypto — one of the fastest-growing crypto YouTube channels — where years of speaking with founders convinced him that the next wave of blockchain projects would be defined by real revenues, real users, and real-world utility. Perceptron, which merged with the 700,000-node BlockMesh network in mid-2025, is his bet on what he sees as AI's biggest unsolved bottleneck: access to high-quality, affordable, real-time data. Why you should listen Data, not compute, is the real AI bottleneck. Peter opens by arguing that while the market has spent the last few years obsessing over GPUs and compute networks like Aethir and Akash, the harder problem sits upstream — the high-quality training data AI models actually need is locked behind paywalls. OpenAI reportedly pays Reddit around $70 million a year, with similar eye-watering cheques going to X, and that pay-to-play economy effectively freezes out smaller AI startups. Research groups like Epoch AI project the stock of public text data will be fully exhausted somewhere…
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