Human Neurons are 1M x Energy Efficient than Digital AI Processors | Dr. Ewelina Kurtys | FinalSpark
Description
In the 22nd episode, Dr. Ewelina Kurtys, Strategic Advisor, FinalSpark @finalspark6341 explains why living human neurons are more energy efficient that existing digital chips for AI processing. She discusses her journey as a neuroscientist to an AI entrepreneur. Sanjay Kalluvilayil, Founder & CEO, Stonehaas Advisors explores the Dystopian and Utopian scenarios of this technology. FinalSpark has developed a Butterfly 'controlled' by human neurons in a lab. The conversation explores whether we are entering a 'Matrix scenario'.
Sanjay reflects on Zhuangzi’s Butterfly Dream, a Daoist philosopher's meditation on reality, identity, and perception, written in the 4th century BC.Many leaders already believe AI is an existential threat to humanity. We all have a responsibility to put the guardrails in place to ensure be build future tech and society in an ethical and responsible manner.FinalSpark is building the world’s first biocomputer using lab-grown neurons and what this means for the future of AI, energy use, and computing performance.
Key Links:
🌐 https://theaispacepodcast.ai
🌐 https://stonehaasadvisors.com
📅 https://www.linkedin.com/company/the-aispace-podcast-with-host-sanjay-kalluvilayil
Bio: Sanjay Kalluvilayil is a visionary leader on a mission to help AI businesses win clients, convert sales, and scale operations to maximize cash flow and valuation. As a trusted advisor and fractional CXO, I bring 30+ years of strategic and execution expertise—from Big 4 consulting to Fortune 500 transformation to startup acceleration.
Company Bio: At Stonehaas Advisors, we work with AI founders and businesses to overcome growth and cash flow challenges by designing and executing GTM strategies that drive organic growth, successful capital raises, and strategic exits.
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