Machine Learning Street Talk (MLST) is a prominent technical AI podcast and YouTube channel hosted by Dr. Tim Scarfe, often joined by Dr. Keith Duggar. Originating from a Microsoft paper review project and launched in its current form in 2021, MLST distinguishes itself with rigorous, in-depth discussions on advanced AI research, aiming to cut through industry hype. The platform covers a wide array of subjects, including machine learning theory, neural networks, cognitive science, neuroscience, philosophy of mind, language, and the pursuit of Artificial General Intelligence (AGI). Scarfe, holding a Ph.D. in ML/AI and with decades of software engineering and data science experience at companies like Microsoft and bp, brings both academic depth and practical insight. Duggar, an MIT Ph.D., adds further technical expertise. MLST is recognized within the AI community, ranked as a top technical podcast on platforms like Spotify and YouTube, and collaborates with leading researchers from global institutions for candid interviews on cutting-edge topics such as AI safety, alignment, reasoning, and foundational models. Primarily funded through Patreon, which offers exclusive content and community access, MLST serves as a key hub for high-level discourse and intellectual exploration in the rapidly evolving field of artificial intelligence. Their content formats include long-form video interviews, panel discussions, and audio podcasts, targeting an audience interested in the theoretical and philosophical underpinnings of state-of-the-art AI.