The Cryptonomist interviewed decentralized AI knowledgeable Janet Adams is COO of SingularityNET.
1. The ASI Alliance simply unveiled ASI Cloud. May you clarify what it’s, the way it differentiates from centralized AI cloud choices, and what issues it solves for companies and builders?
ASI Cloud is a permissionless AI cloud, not one other walled backyard. It offers builders immediate, wallet-based entry to enterprise-grade GPUs and open-source fashions at clear, pay-per-token costs. No lock-ins, no fiat-only or KYC limitations – simply scalable AI infrastructure designed for Web3 builders and enterprises alike.
2. You talked about two extra upcoming launches: ASI Chain and ASI Create. Are you able to give us an unique preview of what they’re designed to do, and the way they match into the broader imaginative and prescient of the ASI ecosystem?
ASI Chain will anchor AI workloads on to good contracts, making compute verifiable and programmable. ASI Create is our builder’s layer – instruments to design, fine-tune, and deploy AI brokers with encrypted data graphs, multimodality, and full possession. Along with ASI Cloud, they kind a stack that makes decentralized AI usable, reliable, and unstoppable.
3. How do you see decentralized AI altering the best way companies function within the subsequent 5 years, particularly in comparison with at the moment’s centralized AI panorama?
Right now, companies hire AI from hyperscalers underneath opaque pricing and vendor lock-in. In 5 years, decentralized AI will look extra like an open market: verifiable compute, predictable prices, and AI brokers companies can truly personal. It shifts AI from a product you eat to an ecosystem you co-create.
4. You’re a robust advocate for moral AI. What mechanisms or rules ought to information decentralized AI networks to make sure they continue to be truthful, clear, and useful to society?
Decentralized AI should be ruled by transparency in pricing, verifiability of compute, and open entry to fashions. The mechanisms are cryptographic ensures, not simply company guarantees. Ethics in AI isn’t a whitepaper, it’s an structure.
5. Having led regulation for 60 nations at HSBC, how does your monetary providers and regulatory expertise form your perspective on decentralized AI adoption and compliance?
Having labored throughout 60 jurisdictions, I see decentralization as a compliance benefit. Distributed infrastructure permits us to embed transparency, auditability, and information sovereignty into the design. As a substitute of forcing AI into outdated regulatory molds, we’re constructing AI clouds that regulators can truly belief.
6. Are you able to share particular examples of how AI on a decentralized infrastructure might handle real-world enterprise challenges higher than centralized fashions?
A startup can spin up GPUs by the hour, pay in stablecoins, and keep away from burning months negotiating hyperscaler contracts. An enterprise can benchmark a number of open-source LLMs with full visibility into price and efficiency. Decentralized AI lowers friction the place centralized clouds create bottlenecks.
7. Trying forward, what position do you see the ASI Alliance taking part in within the international AI race, and the way will initiatives like ASI Cloud, Chain, and Create speed up the trail towards Synthetic Superintelligence?
The AI race doesn’t should be winner-takes-all. ASI Alliance is constructing the connective tissue — Cloud for compute, Chain for verifiable execution, Create for agent design. Collectively they speed up the trail to Synthetic Superintelligence that’s open, auditable, and aligned with humanity’s pursuits.
