Here’s Why Charles Hoskinson Believes Blockchain Can Improve AI’s Resource Efficiency

• Charles Hoskinson believes blockchain solves AI’s resource issues because data and processing are distributed.
• According to Hoskinson, tokenization of computational assets can enhance resource allocation and governance in AI systems.
• Other industry giants, such as Reddit, are convinced that integrating blockchain with AI opens more prospects in the spheres.

Cardano’s founder – Charles Hoskinson – pointed out how blockchain technology could enhance artificial intelligence, or AI, regarding resource efficiency. In his keynote speech, Hoskinson analyzed how some of the critical problems that AI faces today can be solved with the help of blockchain. They include the concerns connected to the computations and the questions of governance. According to him, by applying both blockchain and AI together, he still thinks new possibilities and automation can be set up in different fields.

A 🧵 about the key points that @IOHK_Charles addressed in his keynote at @Ai4Conferences 2024 about the challenges of merging blockchain and AI.

AI could leverage blockchain as an incentive & trust layer to build decentralized marketplaces for data, models and inference.

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— Romain Pellerin (@rom1_pellerin) August 14, 2024

Blockchain,Tokenization and Governance

According to Hoskinson, blockchain technology might be vital to addressing these challenges. Blockchain’s decentralized data storage can help alleviate the workload on individual systems and enhance the efficiency of AI implementations. 

Blockchain also has properties that promote higher data protection and integrity, which is one of the issues preventing a more extensive implementation of AI. Furthermore, AI data integrity would be provided using the well-known features of blockchain, such as transparency and immutability.

Another concept that Hoskinson highlighted is data computational asset tokenization. Through it,funds could be properly distributed to help AI systems obtain the required computational assets without demanding high-consumption, centralized hubs. This approach could also lead to better scalable supervision of AI and blockchain integration by establishing standard and clear management of resources.

AI’s Resource Challenges and Industry Perspectives

Data management and analysis are typically long and computationally intensive activities, which is why most AI systems are computationally intensive. This demand for resources poses some challenges, especially in the aspects of scalability and sustainable development.

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Further, there is a possibility of experiencing delays in data collection and analysis that may result from centralized systems. Hoskinson stresses that these issues are important because AI is rapidly becoming integrated into industries, including health, finance, and transportation.

The use of artificial intelligence and blockchain is a concept that has been introduced previously. Other industry experts, such as Reddit co-founder Alexis Ohanian and Ledger’s Chief Experience Officer Ian Rogers, have also discussed synergies between blockchain and AI. 

Ohanian stated that blockchain’s potential was to augment the genuineness of AI-created material, and Rogers defined blockchain and AI as synergistic technologies that have the potential to spur change in several domains.

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