Ryan Connor: Blockworks – Analyzing DePIN, Tokenomics, and AI’s Impact on Crypto (#14)

In this episode of DePINed Podcast co-founder Tom Trowbridge talks Ryan Connor, an analyst at Blockworks Research, a platform that provides in-depth data and analysis on the complex crypto ecosystem. He contributes to various research reports and analyses, focusing on areas like decentralized finance (DeFi), AI, and blockchain technology. Some of the main topics they explore include: • What DePIN is and its significance in crypto; • Blockworks' role in standardizing research and metrics; • The growing importance of computational power and its link to AI research; • Current trends in CPU and GPU markets; • Key features of Fluence's tokenomics model; • Specialized hardware, latency sensitivity, and rewarding network participants based on contributions and risk; • Sources of bias in AI. And more! Listen on Apple Podcasts: https://podcasts.apple.com/ca/podcast/ryan-connor-blockworks-research-depined-podcast-14/id1765217356?i=1000666831591 Follow Tom Trowbridge on Twitter: https://twitter.com/TheTomTrow Follow Ryan on Twitter: https://x.com/_ryanrconnor Follow Blockworks on Twitter: https://x.com/Blockworks_ Learn more about Blockworks : https://blockworks.co/ Follow Fluence on Twitter: https://twitter.com/fluence_project Follow DePINed on Twitter: https://x.com/depinday Website: https://depined.xyz/ LinkedIn: https://www.linkedin.com/company/depined-podcast Disclaimer: The commentary in this podcast is provided for general informational purposes only and does not constitute financial, investment, tax, legal or accounting advice!

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