FUTURATI PODCAST

Taylor Black is a cross-functional team leader and seasoned entrepreneur passionate about driving innovation and growth. As a co-founder of Fizzy Ventures and a Principal Program Manager at Microsoft Incubation Studio, Taylor has been at the forefront of entrepreneurial ecosystems, venture studios, and technology and business model innovation.

Thanks to this remarkable background, Taylor's expertise is sought after by founders, corporate innovators, venture accelerators, incubators, and studios alike.

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Emery Gunselman is a former astrodynamics engineer and is currently a Satellite Operations Product Owner at Morpheus Space. Morpheus Space is disrupting the NewSpace industry by introducing Agile Constellations, a fusion between cutting-edge electric propulsion and Artificial Intelligence, which enables satellite service providers to operate entire constellations as one entity.

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James Pethokoukis is a senior fellow and the DeWitt Wallace Chair at the American Enterprise Institute (AEI), where he analyzes US economic policy, writes and edits the AEIdeas blog, and hosts AEI’s Political Economy podcast. He is also a contributor to CNBC and writes the “Faster, Please!” newsletter on Substack. Mr. Pethokoukis is a 2002 “Jeopardy!” champion and author of The Conservative Futurist: How to Create the Sci-Fi World We Were Promised (Center Street, 2023).

Check James out at AEI: https://www.aei.org/profile/james-pethokoukis/

Read James’s substack: https://fasterplease.substack.com/

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Nicholas Smart has 15 years' experience as a professional intelligence and security analyst working for government agencies and private companies, covering political, social, military, economic, information and infrastructure issues, and he has experience working as a compliance officer for a cryptoasset trading desk. At present, he is the director of blockchain intelligence and security at Crystal Blockchain Analytics.

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Augustus Doricko is a former Berkley Data Scientist who went on to co-found Terra Seco, a company that uses cutting-edge technology to help with water conservation efforts. Today, he is best known as the head of Rainmaker, a startup looking to end global water scarcity through advanced cloud seeding and weather modification technologies.

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David Shapiro is a former engineer who became famous through his dozens of well-received tutorials on Youtube, covering everything from fine-tuning ChatGPT to his proposed solution to the alignment problem. His work focuses on ensuring that advanced technologies are used safely, bringing about an abundant, post-scarcity, post-nihilistic future.

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Peter St Onge is a Ph.D. economist at the Heritage Foundation, a Mises Institute Fellow, and a former MBA professor in Taiwan. His approach to economic analysis is heavily informed by the “Austrian School”, which builds economics on more realistic foundations, and he is driven by a desire to understand the policies and technologies that make the world more prosperous.

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Dr. Terence Kealey is a professor of clinical biochemistry at the University of Buckingham in the United Kingdom, where he served as vice chancellor until 2014. As a clinical biochemist, Dr. Kealey studied human experimental dermatology, and he discovered how distorting government money could be to the scientific enterprise. In 1996, he published his first book, “The Economic Laws of Scientific Research”, in which he argued that governments need not fund science. His second book, “Sex, Science and Profits” argues that science is not a public good but, rather, is organized in invisible colleges, thereby making government funding irrelevant.

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Dr. Qichao Hu serves as the Chief Executive Officer and Chairman of the Board of SES. He is the recipient of MIT Technology Review’s “Innovators Under 35” and was named one of the Forbes “30 Under 30” in 2013. Dr. Hu earned his BS in Physics from MIT and his PhD in Applied Physics from Harvard University.

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Quintin Pope is a computer science graduate student at Oregon State University, and an alignment researcher focusing on methods of instilling human-compatible values into deep learning-based AI systems, with a particular focus on language models. He co-developed shard theory, an attempt to explain the human value formation process as a consequence of simple reinforcement learning and self-supervised learning dynamics. His interests also include the optimization dynamics of neural networks, human brains, and evolution, as well as how they tie into AI takeoff scenarios and alignment concerns. His current research focuses on methods of scalably supervising self-improving AI systems.

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