At the Token2049 conference, 0G Labs CEO Michael Heinrich highlighted significant risks posed by artificial intelligence (AI) if not integrated with blockchain technology. He emphasized the dangers of relying on centralized AI systems and advocated for decentralized governance to prevent potential misuse of AI in critical areas of society.
Centralized AI Risks
Michael Heinrich warns of the risks associated with centralized AI systems, which could evolve to become independent of human input. He noted that these systems could theoretically become self-governing without blockchain as a governance mechanism, potentially removing all transparency from their decision-making processes. Quote: 'The risk is that at some point, these hyper-smart AI agents [...] realize they don't need humans anymore. We can just run this much better ourselves.'
Decentralization as a Solution
According to Heinrich, one of the main advantages of blockchain technology is the ability to make AI systems more transparent and accountable for their actions. He explained the functionality of decentralized AI and how it enables independent verification of actions taken by AI agents. Quote: 'With decentralized AI, you get visibility into all of this, so that when you have these big social things that can be automated, [...] you can actually independently verify that something was truly done.'
0G Labs Projects
On March 25, 0G Labs announced its successful completion of a $35 million pre-seed funding round to create its modular onchain AI solution. The funding included over 40 crypto-native institutions, such as Hack VC and Blockchain Builders Fund, investing in building a full-stack blockchain AI training and operations platform by 0G Labs. In the interview on September 18, Heinrich stated that 0G Labs 'wants to build abundance into the system' and believes 'the only way to get there is through the use of blockchain.'
Michael Heinrich from 0G Labs emphasized the importance of integrating blockchain technology with AI to increase transparency and accountability. He also expressed concerns about the risks associated with centralized AI systems and suggested decentralized governance as a viable solution to prevent potential misuse.
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