Neil Gershenfeld: Self-Replicating Robots and the Future of Fabrication | Lex Fridman Podcast #380

A legendary electronic musician who was the first to create electronic music, inspiring Neil Gershenfeld's thinking about the computational capacity of musical instruments.

A department at MIT, essentially a 'department of none of the above,' where students in quantum computing and synthetic life could earn degrees.

Students of Neil Gershenfeld who published a Nature Communication paper on robots made from the parts they are manufacturing.

A futuristic device mentioned as the ultimate goal of digital fabrication, where a digital description becomes a physical object.

Named after 'Lasseter's Law,' which describes the exponential growth of Fab Labs; runs the Fab Foundation.

A sculptor and former student in the 'How to Make' class, who created a device that saves and releases screams.

Mini-computers spun off from MIT, part of the era that created the internet, on a workgroup scale.

A colleague who thought about early quantum computing and articulated the properties needed to compute.

A method of universal computation using bubbles in a fluidic channel, stemming from a failed project, demonstrating switching, memory, and logic gates.

A cellular automaton game where simple rules lead to complex phenomena, referenced to illustrate computational universality.

A colleague at the MIT Media Lab who initiated a collaboration with Yo-Yo Ma to instrument his cello, leading to new insights into musical interface.

A company that spun off from MIT, developing auto safety sensors based on electric field tomography, becoming a $100 million-a-year business.

A colleague at MIT who collaborated with Gershenfeld on the 'Things That Think' consortium and later on CBA.

A large wind tunnel at NASA used for testing aircraft designs.

A location in the South of India where SuperFab Labs have been created.

Morphogenes in the genome that store developmental programs, not body plans, illustrating how complexity arises from simple rules and evolution.

An influential report by Vannevar Bush that advocated for public funding of research, but Gershenfeld argues its linear model of innovation was a mistake.

A research center collaborating with a student on superconducting computers.

A design approach where a computer is told what to do rather than how to design it, proving effective for topology optimization in structures.

An American composer, mentioned in relation to David Borden's legendary status in electronic music.

Worked with Honda and NEC, recognized the potential of the sensor technology for auto safety, specifically for airbag control.

A company in the mini-computer industry.

More advanced Fab Labs with tools to make precision parts for machines, making machine creation even cheaper.

A series of books on how to build a machine shop from scratch, used to illustrate the idea of a personal Industrial Revolution.

A group at MIT that invented radar, credited with winning World War II, illustrating how science influenced the war effort.

Equations in traditional physics, described as an information technology from two centuries ago, potentially not fundamental but a representation of physics.

A hypothetical future point where technological growth becomes uncontrollable and irreversible, resulting in unfathomable changes to human civilization.

A movie referenced to illustrate the current state of computing, where software is seen as separate from hardware, similar to frolicking upstairs while laborers work in the basement.

A concept studied by Von Neumann, describing how a machine communicates its own construction, a fundamental idea for self-replication.

Inventor of Moog synthesizers, a physics student at Cornell who invented electronic music.

A core colleague who helped launch CBA.

The idea of materials composed of discrete, reversibly joined parts, where global geometry is determined by local constraints, like Lego bricks.

A former student of Neil Gershenfeld who, with Ben Jinette, made a morphing airplane the size of NASA Langley's biggest wind tunnel.

A global network of approximately 2500 digital fabrication community labs, founded accidentally by Neil Gershenfeld, enabling personal fabrication.

A highly oversubscribed class at MIT for students to use digital fabrication machines and combine them in projects.

The first real-time computer made by MIT, a precursor to mini-computers and personal computers.

A hypothetical end-of-the-world scenario involving self-replicating nanobots consuming all matter, dismissed as a non-concern in the self-replication context.

A quantum algorithm demonstrated using nuclear spins in early quantum computing experiments.

Neil Gershenfeld's first grad student, whose thesis on tomography with electric fields led to a significant auto safety business.

A company that missed the shift to personal computing, as stated by its head, Ken Olsen.

A company in the mini-computer industry.

Referenced as an example of a deeply sustainable way of living, contrasting with modern consumption-driven societies.

One of the people who realized that nuclear spins could be programmed to compute, leading to early quantum computing algorithms.

Collaborated with Norm Margulis on a paper demonstrating computational universality in cellular automata modeling billiard balls.

An early computer for which Von Neumann wrote a memo, applying Turing's architecture to build a machine.

The biological process of how genes give rise to form, a topic Turing studied late in his life.

MIT's president and Kennedy's science advisor, who was frustrated by segregated knowledge and created the Media Arts and Sciences department to house interdisciplinary work.

A technology discussed in the context of the 'Things That Think' consortium, used for identifying and tracking objects.

Invented at MIT in 1952, a precursor to modern digital fabrication, originally for jet aircraft parts.

A former student of Neil Gershenfeld who, with Kenny Chung, made a morphing airplane.

Co-inventor of cellular automata with Von Neumann, used to simulate self-reproducing automata theoretically.

The theoretical minimum energy required to perform an irreversible computation, related to information loss, near which superconducting computers operate.

Developed a model of neurons that led to perceptrons and later deep learning, though the field diverged from understanding how the brain works directly.

Philosopher and computer scientist who showed that it's easy to make physical systems that are uncomputable, solving uncomputable problems.