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Are We Overhyping AI in Crypto? | Casey Caruso & Mohamed Baioumy
Sep 17, 2024
Join Casey Caruso, a contributor investigating decentralization and AI, and Mohamed Baioumy, an expert in AI and cryptocurrency, as they explore the intriguing blend of these technologies. They discuss how decentralization could democratize AI and tackle privacy challenges. Insights into latency sensitivity and the importance of local computing are shared. They also highlight the potential of cryptocurrency in solving real-world problems and encourage a shift towards practical, consumer-focused applications in the AI space.
01:15:09
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Quick takeaways
- Leveraging blockchain technology for diverse data sourcing is essential as AI faces challenges with public data collection limits.
- Local edge computing enhances AI privacy and performance, allowing organizations to conduct complex computations without expensive hardware investments.
Deep dives
Limits of Public Data for AI Models
The challenges of public data collection for AI models are becoming increasingly evident, as the limits of what can be publicly scraped are being reached. This scarcity raises discussions on how to leverage blockchain technology to incentivize diverse data sourcing and collection. As AI advancements struggle against data limitations, finding innovative approaches to gather necessary information becomes vital. This scenario exemplifies the necessity for collaboration between AI and crypto sectors to address emerging data deficits.
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