Tomorrow's Market Interactions: Creating Efficient Financial Markets with Blockchain & AI at Upshot

In this episode of the Edge of AI, we welcome Nick Emmons, the co-founder and CEO of Upshot, a New York-based decentralized AI platform pioneering efficient financial markets using the proof of alpha protocol and advanced machine learning. Dive into the convergence of AI and crypto technologies, the future of hyper financialization, and the potential of AI in society. Join us as we explore the intersection of blockchain and AI and how Upshot is driving efficiency and financialization in the rapidly evolving open financial infrastructure. Tune in to gain valuable insights on navigating the world of Web3 and AI from a leading figure in decentralized AI and blockchain technology!

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🔑 Key Takeaways:
◆ Upshot is a New York-based decentralized AI platform pioneering the creation of efficient financial markets using the proof of alpha protocol and advanced machine learning which enables the creation of efficient financial markets for a wide range of assets using blockchain and AI to drive efficiency and financialization.
◆ Metastreet is a decentralized lending protocol focused on long-tail assets and NFTs, to integrate predictive analytics into the lending platform, aiming to create a global and efficient lending market for watches.
◆ The Future of Finance Lies in AI and Blockchain Integration: AI and blockchain are merging to create efficient financial markets, potentially leading to an era of hyper-financialization where most things are coordinated via markets, such as governance, information elicitation, and truth discovery.
◆ The Role of ZKML in Verifying AI Models: ZKML (Zero-Knowledge Machine Learning) is an advancement in cryptography used to verify AI models for accuracy and security, leading to more accountable and verifiable AI at scale, especially good at financial modeling and price predictions.
◆ Decentralized AI in the Financial Sector: Upshot is pioneering the creation of efficient financial markets using the proof of alpha protocol and advanced machine learning, illustrating the increasing role of decentralized AI in the financial sector.
◆ Collective Intelligence and the Progression of AI: Collective intelligence in AI, where different specialized AI models learn from each other, could accelerate the progression of AI, highlighting the potential impact of collaboration and knowledge sharing in the AI space.
◆ Connecting AI and Financial Instruments: AI is being used for predictive analytics in financial applications, such as forecasting the prices of tokenized assets, demonstrating the influence of AI in shaping financial instruments and market interactions.

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