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Connor Leahy, one of the minds behind Eleuther AI and its open-source large language model, GPT-J, talks about the building such models and their implications for the future.
Robert O. Work, former Deputy Secretary of Defense and recently co-chairman of the National Security Commission on AI, talks about competition between the US and China to integrate AI into their military capabilities.
Stephen DeAngelis, head of Enterra Solutions, reminds us that so-called Old-Fashioned AI continues to be a powerful tool. He talked about leveraging knowledge bases, inference engines and symbolic logic to make decisions about large dynamic systems.
Andrew Feldman, one of the founders and CEO of Cerebras Systems, talks about the company's wafer-scale computer chip optimized for machine learning and about the network of chips that company has built that has as much computing power as a human brain.
Adobe's head of research, Gavin Miller, talks about AI-enhanced creativity, guarding against manipulation of visual media and his own AI-enabled robot snakes.
Seth Dobrin, chief AI officer at IBM, talks about the company's tools to increase the trustworthiness, fairness and explainability of AI models.
This week, I talk to Ron Schmelzer and Kathleen Walch, founders of Cognilytica, a research, advisory, and education firm focused on artificial Intelligence. We talked about the rise of MLOps, data labeling, unsupervised learning and what it will take to get us to human-level artificial general intelligence.
This week I talk to the inimitable Ben Goertzel, about his non-profit foundation, SingularityNET, his work with the robotic head, Sophia, his talking Philip K. Dick avatar, his work in medical AI, his frustration over Big Tech's dominance of AI research and his own quest for AGI.
AI commentator and investor Kaifu Lee talks about his book AI 2041 in which he considers possible futures for humanity if deep learning applications develop as planned.
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