“Why don’t we just anonymise the data?” Because it can remove data the model needs. Federated learning enables collaborative training while keeping raw data local. Blockchain coordinates validation and rewards, encouraging honest contributions as training scales across distributed nodes. That's what FLock does. @TiffanyWang98 on @blockdropspod 🎙️

Most AI runs on one assumption: the data has to be centralised to train the model. For hospitals, banks, law firms and governments, it’s not always an option. On the latest episode of @blockdropspod, our Head of EMEA @TiffanyWang98, sits down with @0xmauricio to explain what happens when you reverse that assumption. What they cover: - Why don't we just anonymise the data - Federated learning, and why blockchain is the layer that makes it scalable - Real-world applications of federated learning in healthcare and specialised models - Why bigger models aren’t the answer for every job - What's the one thing crypto still has to fix Listen to the full episode here ⤵️

Why does AI training even need blockchain? What are the real use cases for privacy-preserving and decentralised AI? Our Head of EMEA, @TiffanyWang98, takes on both questions, and more on the convergence of AI and blockchain with @0xmauricio on @blockdropspod. Out today 🎙️