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Vlad Sivak, a Google Quantum AI researcher specializing in quantum error correction and control, explores how reinforcement learning could help quantum computers learn from their own errors. They discuss adaptive decoders, continuous hardware calibration, bosonic and surface codes, the break-even milestone, scaling challenges, and AI systems discovering strategies beyond human-designed data.

Michael Levin, Tufts biology professor and bioelectricity pioneer, explores where intelligence lives. They discuss xenobots, cellular learning, bioelectric signals, and minds emerging beyond natural selection. Levin examines Platonic space, causal emergence, AI beyond language, and how future medicine might communicate with living systems. A mind-bending tour of biology’s hidden problem-solvers.

Sid Sijbrandij, GitLab founder and biotech advocate, shares his journey from software leadership to confronting cancer through personalized medicine. He explores AI-designed mRNA cancer vaccines, tumor sequencing, radioligand therapy, and combining experimental treatments. The conversation also examines why clinical trials and manufacturing struggle with individualized care, plus his efforts to build patient-first biotech companies and expand access.

John Martinis, physicist and superconducting quantum-computing pioneer, discusses what it takes to build machines with millions of qubits. Topics include tunable couplers, coherence, wiring, cryogenic power, material defects, error correction, and semiconductor-scale fabrication. He also reflects on Google’s Sycamore experiment, lessons from failure, and Qolab’s vision for dense, modular quantum hardware.

Eric Betzig, Nobel Prize-winning physicist and pioneer of super-resolution microscopy, explains how PALM broke the diffraction limit and transformed live-cell imaging. He revisits the surprising dynamics of transcription factors, the risks of relying on fixed samples, and his Cell Observatory project combining automated microscopes with AI. He also reflects on drug discovery, virtual cells, better fluorophores, nuclear power, and the creative spirit of Bell Labs.

Yonatan Cohen, co-founder and CTO of Quantum Machines, builds FPGA-based control systems for scalable quantum computers. He discusses hybrid quantum-classical control, real-time pulse sequencing, and low-latency feedback. He also covers challenges of scaling control hardware, ASICs and cryogenic integration, and why dedicated quantum sequencers are essential for large qubit counts.

Walter Gilbert, Nobel-winning molecular biologist who helped invent early DNA sequencing and co-founded Biogen. He recounts moving from physics to discovering mRNA, the accidental experiment that spawned practical DNA sequencing, the origins of the Human Genome Project and computational biology, the RNA World idea, exon shuffling, building Biogen, and why he later turned to digital abstract art.

Michael Manson, a pioneer in bacterial motility research with a ~50-year career, walks through how tiny rotary motors power bacterial swimming. He covers run-and-tumble chemotaxis, experiments proving proton-driven rotation, stator and rotor mechanics, cryo-EM revelations about motor architecture, and how single molecules flip rotation direction. Brief reflections on evolutionary repurposing and open questions in origins of life.

Mark Saffman, professor at University of Wisconsin–Madison and pioneer of Rydberg-based neutral atom quantum computing. He walks through optical tweezers, Rydberg blockade and how conditional gates and entanglement are implemented. The conversation covers scaling challenges, laser and fidelity limits, atom rearrangement techniques, dual-species approaches for error correction, and the industry growth around neutral-atom hardware.

John Bowers, UC Santa Barbara professor and silicon photonics pioneer known for semiconductor lasers and integrated transceivers. He discusses why optics are solving data-movement bottlenecks in AI, how heterogeneous integration and on-chip lasers enabled scalable photonic products, and advances like co-packaged optics, microcombs, and inverse design reshaping data centers.