Oct 26, 2026 · 1h 18m
DNA researchers build a new kind of computer
372 | Erik Winfree on DNA Computers and Robots
The conversation examines whether programmable molecules can do more than store information by assembling structures, making decisions, and illuminating the origins of life.
- 1DNA offers a programmable chemical medium for computation, self-assembly, and nanoscale robotics, but not a faster replacement for silicon.
- 2Molecular machines face distinctive challenges involving Brownian motion, error correction, energy use, and the need for sustained autonomous activity.
- 3Building artificial cells could connect information processing, self-organization, and evolution-like behavior in a physical model of life’s beginnings.
Don't miss
Winfree describes DNA robots that sense conditions, make decisions, and move on surfaces, while revealing why sustained activity remains difficult.
The brief
Erik Winfree explains why DNA is useful not because it can rival silicon’s speed, but because chemistry can compute, assemble structures, and operate at molecular scale.
The laboratory challenge is programming enormous populations of molecules in a noisy Brownian environment, then designing sequences and imaging the structures they produce.
DNA origami and patterned self-assembly show how simple molecular components can express higher-level designs, connecting computation theory with physical chemistry.
DNA robots can sense, decide, and move on surfaces, but one-shot demonstrations expose the deeper problem: useful molecular machines need power for repeated action.
Winfree frames artificial cells as a grand challenge, where error correction, thermodynamics, self-organization, and information processing may clarify how chemistry became life.
Weekly email
State of the Pod, every Monday
The week's most-discussed names and stories from podcasts, with the moments behind them. Free, five minutes, unsubscribe in one click.