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Buterin Examines Benefits And Drawbacks Of AI-Crypto Fusion

Republished By Plato
Republished By Plato

Date:

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Vitalik Buterin has examined the mechanics of artificial intelligence’s incorporation into cryptocurrency and outlined its opportunities and challenges.

Vitalik Buterin, the co-founder of Ethereum, spelled out four ways that cryptocurrency and artificial intelligence (AI) may overlap, finding some potential use cases and noting some corresponding risks.

In a blog post published on Tuesday, Jan. 30, the Ethereum co-founder examined the use of AI as an actor, as an interface, as the rules themselves, and as an end objective in itself.

Additionally, Buterin noted that using AI as an actor within a protocol had the highest viability. He also pointed out that using AI as an interface to a protocol has high potential but carries some risk.

Buterin highlighted that applications that attempt to provide a single, trustworthy, decentralized AI that other applications can rely on would be the most difficult to integrate Bitcoin and AI correctly.

However, Buterin noted that the most challenging use of cryptocurrency and AI to get right would be applications that try to create a single, decentralized, trusted AI for other applications to rely on.

Vitalik Buterin explores AI in DeFi and gaming ecosystems

Vitalik Buterin categorized the interactions between artificial intelligence into four distinct groups. Thus, it provides a simplified explanation of the multifaceted dynamics.

According to the Ethereum co-founder, the first category delves into AI as a player in a game, thereby shedding light on its role in decentralized financial (DeFi) ecosystems such as exchanges and prediction markets.

Additionally, the historical presence of AI arbitrage bots is brought to light, thus hinting at the challenges of market manipulation.

The report also scrutinizes AI as an interface to the game, emphasizing the positive aspects of AI assisting users in navigating the complexities of the crypto world. Moreover, the report cautions against the risks involved, particularly in adversarial machine learning attacks.

Buterin was also charged with carefully considering security measures to protect users from threats and scams.

The third category presents the concept of artificial intelligence (AI) as the game’s rules, with AIs incorporated into DAOs or blockchain smart contracts to provide arbitrary judgments. Vitalik Buterin admits that adversarial machine learning presents significant obstacles, despite its potential advantages. This raises questions about how easily exploited and manipulated open-source AI models can be.

Additionally, the research doesn’t hold back when discussing the drawbacks of combining AI with cryptocurrency. Interestingly, the paper also outlined possible dangers from hostile machine-learning assaults. However, Buterin pointed out that malicious actors could take advantage of weaknesses in AI models, endangering the security and reliability of blockchain applications.

Furthermore, he mentioned that strong security protocols are necessary for counterattacks. Considering AI as the game’s ultimate goal, Buterin investigates the possibilities of decentralized AIs outside of the cryptocurrency domain in the last category.

Buterin says AI can identify fake accounts

According to Buterin, evaluating performance might entail gathering information about prediction markets, spotting fraudulent accounts, evaluating the data quality, and more, all connected to open on-chain incentives. He said that these applications have promise, both for functionality and for improving AI safety, in a way that avoids the centralization risks associated with more mainstream approaches to that problem.

However, Buterin stated that relying directly on AI components in a smart contract or protocol seems more dangerous. This is due to the fact that model integrity can’t be proven, and there are loopholes for attackers.

The co-founder of Ethereum claims that by weighing the advantages and disadvantages, his concepts can assist users in carefully considering how to innovate in an area where two crucial industries converge.

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