Infinite AI Interns: How Young Professionals can Win in an AI-Powered World
Join us as we explore the future of work in the age of artificial intelligence. Watch Episode Here Read Episode
In this episode, Nathan sits down with Katja Grace, Cofounder and Lead Researcher at AI Impacts. They discuss the survey Katja and team conducted including over 2,700+ AI researchers, the methodology, and the results’ implications for the industry as a whole.
In this wide-ranging conversation, we dig into the details of how Linus goes about his explorations. He shares his toolkit, from PyTorch as a foundation to the custom tools he's built over time for data visualization, model evaluation, and rapid experimentation.
Diving into Google DeepMind Robotics' latest research, we uncover breakthroughs in robot autonomy and ethics, paving the way for a future where robots seamlessly integrate into our daily lives.
Nathan and Itamar Friedman discuss the future of AI in coding, code integrity, and workflow engineering with Codium AI's innovative approaches.
Dr. Michael Levin discusses embodied minds, limb regeneration, and collective intelligence, exploring the intersection of biology and cognitive science.
Nathan and Max Bennett explore the evolution of human intelligence and AI's potential in learning from these cognitive breakthroughs.
Nathan and Gabe Gomes discuss Coscientist, an AI that designs and executes chemistry experiments, aiming to democratize and accelerate scientific research.
Nathan explores Mamba, a new state space model, and its impact on AI.
Marius Hobbhahn discusses AI deception, interpretability, and affordances with Nathan Labenz on the Cognitive Revolution Podcast.
Nathan and Erik explore Google Deepmind's research on LLMs, AI regulation debates, and VC commitments to responsible AI in this thought-provoking episode.
Nathan interviews Alex Watson on Gretel AI's synthetic data and privacy techniques, discussing the need for synthetic data and its applications.
Trey Kollmer and Nathan Labenz delve into AI research, discussing new techniques to reduce global compute and enhance LLM memory.
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