David Edwards
Vitalik Buterin, a co-founder of Ethereum, has presented a convincing argument for the potential of artificial intelligence (AI) to grow and gain traction. In response to a question on X (previously Twitter) posed by former Coinbase CTO Balaji Srinivasan, Buterin discussed important issues including ownership, decentralization, and coordination in the development of AI.
Addressing the Coordination and Ownership Issues with AI
Srinivasan cited the quick development of smart technologies that are easily incorporated into daily life, such as wearables, smart homes, and driverless cars. He did point out one obvious drawback, though: these gadgets are unable to synchronize, coordinate, or retain shared memories. Additionally, one potential obstacle to its acceptance is the issue of private key ownership.
Buterin put out a remedy based on personal authority. He made the case that people should retain control over the private keys or other mechanisms of such AI-driven systems, removing the need for centralized middlemen, drawing comparisons to the self-custody paradigm in cryptocurrencies.
Decentralization: An Essential Component of AI Security
Buterin emphasized that in order to guarantee the security and reliability of AI technology, decentralization is necessary. Although self-custody is a fundamental aspect of the cryptocurrency culture, he pointed out that because users frequently keep their assets on exchanges, the ecosystem still struggles with centralization.
Centralized control carries a number of serious hazards, including poor management, hacking, and abuse by bad actors. This issue is particularly pertinent since scammers are increasingly focusing on cutting-edge technologies, such as AI bots.
Buterin promoted a decentralized Internet of AI Things to remedy these flaws, giving users complete control over private keys and protecting their systems from outside attackers.
In order to guarantee that AI technologies are robust, safe, and under user control, Buterin urged stakeholders to actively seek decentralized models in his concluding remarks. According to him, this strategy is necessary for AI to become widely used while maintaining personal freedom and reducing hazards.
