This Week in Machine Learning Street Talk (Jun 22 - Jun 28, 2026)

This week, Machine Learning Street Talk explored the tension between fundamental breakthroughs and their practical implementation in AI. The episodes traced this arc from John Jumper's work on protein folding at DeepMind—and his subsequent departure—to Thomas Ahle's focus on the physical hardware constraints that will shape the next generation of AI systems. Together, they illustrate how the field is moving beyond pure algorithmic innovation toward the harder problem of building systems that can actually scale.