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Blockchain Life 2024

Our CTO, Sergey Shalyapin, took the Uminers stage at the Blockchain Life Forum 2024 in Dubai to explore the intersection of blockchain technology and artificial intelligence alongside Vladislav Martynov, General Partner of BR Capital, Kostas Chalkias, Co-Founder of Mysten Labs, Tiago Henriques, Head of AI/ML Technology Practice at Google Cloud EMEA, Jerry Z, Co-Founder of Delysium, and Greg Osuri, Founder of Akash Network.
During the panel, Sergey discussed the key challenges and opportunities in bringing AI into blockchain technology, noting that while blockchain has successfully evolved to manage micro-level transactions with high throughput, the rapid advancement of AI architectures presents novel integration challenges.

A key focus was the fundamental shift in AI computational demands. Sergey contrasted “elementary downstream task solvers”, which performed relatively simple inference tasks, with today’s monolithic transformer-based architectures that have raised demand to compute demonstrating more general communication skills and, most importantly, with upcoming AGI-class systems that compose multiple AI paradigms. These modern systems combine layers of memory, dynamic workloads, and hybrid neural-symbolic processing — creating workload patterns far more complex than traditional blockchain systems were originally designed to accommodate.
Beyond the technical integration challenges, Sergey outlined SingularityNET’s paradigm-shifting vision for AI-blockchain synergy. Rather than maintaining a narrow focus on blockchain’s traditional role in raw data management, he called for a transition toward a knowledge-centric architecture. This approach centers on the development of blockchain-powered Knowledge Layers, which he positioned as crucial facilitators in the evolution from current data-driven AI systems toward future knowledge-driven AGI.

The concept of Knowledge Layers, as presented by Sergey, represents a sophisticated approach to storing and managing distilled knowledge — highly refined, contextual information extracted from raw data through advanced processing methods. He explained how providing AI systems with access to this pre-processed, structured knowledge enables them to execute complex reasoning tasks more efficiently compared to working with raw data alone. This approach proves particularly valuable for modern AI systems that combine multiple reasoning mechanisms and require rich, contextual information.

For those interested in watching the complete panel discussion and gaining deeper insights into the convergence of AI and blockchain technology, the full session recording is available on the Blockchain Life official YouTube channel.