Younger readers may not remember, but cloud computing was once the future. The advent of unlimited computing and storage resources represented one of the few tech ‘revolutions’ worthy of the name. But the age of AI has made the centralized cloud model not only obsolete but also an active danger for those building on it — and for every user, too.
This is terrible for the development of AI, and completely antithetical to its democratizing potential. When algorithms and applications are built by a small coterie of devs at trillion-dollar California companies, it imposes a blinkered, one-dimensional, and incredibly subjective bias on AI agents. This affects everything from financial services, to creativity…even to human interactions.
Through decentralization, we can eliminate this problem at a stroke by creating a network of nodes that harness huge reserves of unused CPU power. This modular approach of decentralized physical infrastructure is perfect for multiple reasons: it’s almost infinitely scalable, far cheaper than spinning up new servers with your cloud provider , and contributes to parallel computing and the de-siloization of AI, so applications can more easily learn from each other.
Decentralization also provides an answer to vulnerabilities we’ve seen on platforms like Hugging Face. With the rapid evolution of blockchain technology — in particular, zero-knowledge proofs — we now have a range of tools to ensure the security and provenance of AI applications. For those of us close to these developments, we can often forget the sheer speed and profundity of this technological transformation.
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