Coinlive is honoured to announce its participation in this year's TOKEN2049 Singapore, an esteemed event scheduled to transpire at the Sands Expo & Convention Centre from 13 to 14 September 2023.

As an integral contributor to the proceedings, Coinlive has proudly assumed the mantle of providing coverage of the event.

AI Must Be Closely Intertwined With Blockchain Technology

At the panel titled "The Convergence of AI and Web3" on 13 September 2023 at TOKEN2049, the panel consisting of Richard Muirhead, Managing Partner of Fabric Ventures who is moderating; Jake Brukham, Founder of CoinFund; Jamie Burke, Founder and CEO of Outlier Ventures; and Illia Polosukhin, Co-founder NEAR Protocol; and Alex Blania, Co-founder and CEO of Tools for Humanity/Worldcoin, dives into Artificial Intelligence (AI) and Web3 having the potential to reshape industries.

In contemplating the future of the web, we are presented with a compelling vision of truly autonomous Decentralised Autonomous Organizations (DAOs).

This notion lies at the heart of our exploration, where we envision the web's next evolutionary phase.

It becomes increasingly evident that AI will play a pivotal role in the realisation of these autonomous entities.

However, it is essential to understand that AI cannot exist in isolation; it must be closely intertwined with blockchain technology.

In contemplating this direction, we found ourselves moving away from the monolithic and centralised platforms that defined Web2.

Instead, we envisioned a future characterised by agent-based systems, raising fundamental questions about governance, individual sovereignty, and collective operation.

This, in turn, beckons a profound re-evaluation of value creation, exchange, and ownership, potentially offering a more equitable paradigm.

The concept of machine-to-machine interaction, extending beyond mere software agents, becomes a central theme.

This prompts us to scrutinise the entire supply chain, especially AI's creativity and the trustworthiness of its outputs.

One avenue we have explored to address these challenges is the intersection of machine learning and zero-knowledge proofs (ZK-ML).

ZKs are particularly promising in the context of blockchain applications, where they facilitate verifiable computation.

In essence, they enable third-party computation while providing a verifiable proof of the executed task, mitigating trust concerns.

What is intriguing is the applicability of ZK-ML to AI, particularly in decentralised networks.

This technology addresses the off-chain computation aspect, notably in training and inference models for AI in decentralised contexts.

It offers a robust solution to verify and utilise AI outputs within smart contracts.

In weaving the principles of Web3 into the fabric of AI's future, we encounter the potential to reconcile long-standing conflicts between free markets, collectivism, and individual sovereignty.

A form of fluid collectivism emerges, one that respects the individual while fostering openness and innovation.

Across the broader AI landscape, openness and open-source development emerge as powerful catalysts for progress, addressing psychological barriers and optimising AI's trajectory.

Together, AI and Web3 have the potential to reshape industries such as finance, healthcare, and entertainment, making them more accessible, efficient, and transparent.

However, challenges like data privacy, interoperability, and ethical AI usage must be addressed as these technologies converge.