Bittime - Ethereum founder, Vitalik Buterin, expressed his views on the potential of artificial intelligence (AI) in the blockchain realm at the BUIDL Asia 2024 conference held in Seoul, South Korea. According to Buterin, the integration of blockchain and AI is an important step for the future.
AI for Bug Elimination in EVM
One of the biggest challenges for blockchain developers is bugs or code errors. This bug can cause security gaps that result in financial losses. However, the presence of AI offers a promising solution.
Buterin said that AI has been able to create applications with 100 to 500 lines of code. With the ability to write up to 10,000 lines of code, AI has the potential to eliminate most of the bugs that occur in the Ethereum Virtual Machine (EVM).
EVM itself is a virtual machine that allows the execution of smart contracts based on the Ethereum blockchain. AI that has been trained with bug data has the potential to automatically find and fix bugs in blockchain code.
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Reward Mechanism for Data Security
In addition to bug detection, AI can also play a role in maintaining data integrity. The way to do this is by giving rewards in the form of tokens to community members who provide bug data for AI.
Buterin added that if one is not careful, hacking blockchain bugs can be identified with AI. Data integrity can be secured by providing token rewards to community members who provide bug data to the AI.
Also Read: Get to know Vitalik Buterin, the figure behind Ethereum
AI Security and Decentralization
Although AI offers great benefits, Buterin emphasized the importance of the security of AI itself. According to him, decentralization plays a crucial role in preventing excessive dependence on AI which is prone to bias.
Buterin added that we need to think about ways to ensure the safety of AI so that the world is less dependent on AI. A certain degree of decentralization is required.
As a solution, a data provision and compensation system is proposed. Through this system, only data selected professionally by the blockchain developer community will be entered into the AI, and participants will be rewarded in the form of tokens.
Current AI models often learn from biased data. If we provide incentives (tokens) to developers and include trusted trading data and networks, AI models will become more robust and stable.
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Conclusion
The integration of blockchain and AI has the potential to have a significant positive impact on the security and development of the blockchain ecosystem. However, the security and decentralization aspects of AI need to be considered to ensure optimal use of this technology. Players in the blockchain field need to continue to innovate to create an integrated, secure and efficient environment.
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Also Read:
Get to know what the Ethereum Virtual Machine (EVM) is
Ethereum Developers Are Considering Significant Upgrades to EVM
The Important Role of the Ethereum Virtual Machine (EVM) in the Ethereum Ecosystem
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