# Videos

## Interviews Playlist

### Can Large Language Models Understand ‘Meaning’?

Brown University computer scientist Ellie Pavlick is translating philosophical concepts such as “understanding” and “meaning” into concrete ideas that are testable on LLMs.

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### Understanding Cryptography With These Five Worlds

### How a New X-Ray Technique Sees Black Holes

### The Math Hiding in Plain Sight

### How AI Learns to ‘See’

### How to Build a Telescope to See the Early Universe

### When Computers Write Proofs, What’s the Point of Mathematicians?

### The Cryptographer Working to Protect Computations

### A Bet Against Quantum Gravity

### The Digital Quest for Quantum Gravity

### She Tracks Wildlife eDNA on Everest and in the Andes

### The Computer Scientist Taking on Big Tech: Privacy, Lies and AI

### One Man’s Mission to Unveil Math’s Beauty

### The Deep Mystery at the Heart of Life on Earth

### The Man Who Revolutionized Computer Science With Math

### A Polymath on Physics, Computer Science, Neuroscience and Literature

### How Geometry Shapes Our Lives

### The Cosmologist Challenging Einstein

### Biology Meets Computer Science

### This Astronomer Is Determined to Find Another Earth

### The Scientific Problem of Consciousness

### How Scientists Finally Finished the Human Genome

### The Missing Link in Artificial Intelligence

### The Bridge Between Math and Quantum Field Theory

### What’s Inside an Exoplanet?

### The Theory That Could Rewrite the Laws of Physics

### Plate Tectonics: The Mystery of Earth’s Many Faces

### Fighting for Equality in Computer Science and Beyond

### Why Extraterrestrial Life Might Not Be So Alien

### This U.S. Olympiad Coach Has a Unique Approach to Math

### How Cosmic Dust Reveals the Secrets of the Universe

### Meet One of NASA’s Pioneering Women

### What Makes Physics Beautiful, According to a Nobel Prize Winner

### New Clues in the Age-Old Question of the ‘Male’ and ‘Female’ Brain

### This Computer Scientist’s Streaming Algorithms Shrink Big Data

### Inside Dynamical Systems and the Mathematics of Change

### The Cosmologist Who Dreams in the Universe’s Dark Threads

### The Extraordinary Math Hidden in Everyday Life

### The Bold Quest to Launch the Internet in Space

### Physicist Jeff Gore’s Statistical Approach to Ecology

### Urban Traffic and Complex Systems — Carlos Gershenson

### Emily Riehl Is Rewriting Higher Category Theory

### Emily Riehl: Mathematician, Musician, Educator

### Claudia de Rham: “Gravity Is the Law That Makes Everything Happen”

### John Priscu and the Search for Life Under Ice

### Liz MacDonald on the strangest auroras in the world.

### James Maynard Solves the Hardest Easy Math Problems

### Katie Mack Knows How It’s All Going to End

### Pincelli Hull Explains What Killed Off the Dinosaurs

### Ronald Rivest on Building Better Elections

### Omololu Akin-Ojo: Doing Cutting-Edge Physics in Africa

### Nobel Laureate James P. Allison on the Origins of His Cancer Immunotherapy Research

### Scarlett Howard on the Lessons of Teaching Bees Math

### Barbara Liskov on the Future of Computer Science

### Virginia Trimble on How Astronomy Has Changed

### Stephanie Wehner Aims to Build a Quantum Internet

### Craig Callender on the Trouble With Black Hole Thermodynamics

### Iyad Rahwan: Why We Need a Science of Machine Behavior

### Carlo Rubbia on the Future of Particle Physics

### Greg Johnson on A.I. That Sees Inside Cells

### Hod Lipson Builds Consciousness Into a Robot

### Lee Smolin on the Impossibility of Studying the Universe

### Amie Wilkinson on the Mathematics of Change

### Edward O. Wilson on the Evolution of Social Behaviors

### Jim Gunn on Building Astronomical Instruments

### Ecologist Jennifer Dunne on Humans’ Place in Food Webs

### CRISPR Pioneer Jennifer Doudna on Its Research Promise

### Priyamvada Natarajan: How Black Holes Shape Galaxies

### Carolina Araujo on Supporting Women in Mathematics

### Been Kim: A New Approach to Understanding How Machines Think

### Meenakshi Wadhwa on Meteorites and the Solar System

### Martin Rees on the Future of Science and Humanity

### Why Different Parts of a Coffee Mug Produce Different Pitches

### Valeria Pettorino on Learning About Dark Energy With the Euclid Satellite

### Mario Jurić on How Astronomy Is Changing

### Renee Reijo Pera on the Importance of Timing in Embryo Development

### Tomas Bohr on Performing the Double-Slit Experiment with Bouncing Droplets

### Rosaly Lopes on Volcanoes Throughout the Solar System

### Cohl Furey on the Octonions and Particle Physics

### Jessica Whited on Limb Regeneration and the Axolotl Genome

### Carina Curto on How Physicists Can Think About Neuroscience

### Lisa Manning on the Dynamics of Glasses and Embryos

### Michela Massimi: Defending the Philosophy of Science

### Donald Richards: A Revealer of Secrets in the Data of Life and the Universe

### Günter Ziegler Seeks God’s Perfect Math Proofs

### Barbara Engelhardt on How to Improve Statistical Analyses of Genomes

### Daniel Goldman and His Smart Robots

### Gil Kalai: Why Quantum Computers Won’t Work

### Erich Jarvis on Theories About the Origin of Vocal Learning

### Ed Boyden on the Promise of Expansion Microscopy

### Richard Schwartz: In Praise of Simple Problems

### Corina Tarnita: First Understand Nature’s Rules

### Minhyong Kim: Connecting Number Theory to Physics

### Federico Ardila: A Mathematician Who Dances to the Joys and Sorrows of Discovery

### Michael Assis: The Atomic Theory of Origami

### Rebecca Goldin: Why Math Is the Best Way to Make Sense of the World

### Nigel Goldenfeld: Seeing Emergent Physics Behind Evolution

### Neil Johnson: A Physicist Who Models ISIS and the Alt-Right

### Svitlana Mayboroda: Taming Rogue Waves

### Jay Pasachoff: Eclipse Hunter Reveals the Science That Can Only Be Done in the Dark

### Andrea Ghez: Black-Hole Hunter Takes Aim at Einstein

### Jessica Flack: How Nature Solves Problems Through Computation

### Purvesh Khatri: More Data — the Dirtier the Better

### Tim Maudlin: A Defense of the Reality of Time

### John Novembre: A Map of Human History, Hidden in DNA

### Sharon Glotzer: ‘Digital Alchemist’ Seeks Rules of Emergence

### Sylvia Serfaty: In Mathematics, ‘You Cannot Be Lied To’

### Francis Su: Math and the Good Life

### Francis Su: Math Is for Everybody

### Marcus Feldman: In Search of Actions That Alter Evolution

### Elena Aprile: In the Deep, a Drive to Find Dark Matter

### Janet Conrad: On a Hunt for a Ghost of a Particle

### Erik Verlinde: The Case Against Dark Matter

### Cynthia Dwork: How to Force Our Machines to Play Fair

### Richard Lenski: A Conductor of Evolution’s Subtle Symphony

### Michael Costanzo: Giant Genetic Map Reveals Life’s Hidden Links

### Peter and Rosemary Grant: Watching Evolution Happen in Two Lifetimes

### Tracy Slatyer: A Seeker of Dark Matter’s Hidden Light

### Miranda Cheng: A Moonshine Master Toys With String Theory

### Suchitra Sebastian: An Explorer of Quantum Borderlands

### Ken Ono: A Life Inspired by an Unexpected Genius

### Janna Levin on Science and Culture

### Tiny Tests Seek the Universe’s Big Mysteries

### David Moore: Tabletop Physics

### The Evolutionary Argument Against Reality

### David Deamer: How We’re Studying the Origins of Life

### Michael Atiyah’s Imaginative State of Mind

### Leslie Valiant: Searching for the Algorithms Underlying Life

### Richard Dawid: Why Trust a Theory?

### Christoph Adami: The Information Theory of Life

### Joan Strassmann: The Woman Who Stared at Wasps

### Gabriela González: Searching the Sky for the Wobbles of Gravity

### Nima Arkani-Hamed’s Visions of Future Physics

### Nancy Moran: An Explorer of Life’s Deepest Partnerships

### James Bullock: The Case for Complex Dark Matter

### Hiranya Peiris: How to Test If We Live in a Multiverse

### Alan Guth: How Many Two-Headed Cows in a Multiverse?

### A ‘Rebel’ Without a Ph.D.

## Explore All Videos

### Can Large Language Models Understand ‘Meaning’?

Brown University computer scientist Ellie Pavlick is translating philosophical concepts such as “understanding” and “meaning” into concrete ideas that are testable on LLMs.

### Predicting Eclipses: The Three Body Problem

Solar eclipse prediction has driven innovation across the history of science and mathematics, from the Saros cycle to Greek geometry to Newton’s calculus to the three-body problem.

### Understanding Cryptography With These Five Worlds

Russell Impagliazzo describes the five possible cryptographic worlds we might inhabit.

### Why Is This Basic Computer Science Problem So Hard?

Computer scientists have long used vector addition systems to model how certain programs work, but they didn’t have a full understanding of how complicated they could be. Recent work has finally pinned it down, showing that these problems are far more complicated than they seem.

### How a New X-Ray Technique Sees Black Holes

Astrophysicist Erin Kara explores black holes by carefully tracking the gas and plasma swirling near their event horizons.

### Decoding Math’s Most Famous Fractal

Mathematicians working in the field of complex dynamical systems are patiently unraveling the Mandelbrot set’s mysteries and may be on the verge of solving a fundamental conjecture that would allow them to describe the set completely.

### The Math Hiding in Plain Sight

Sarah Hart, the professor of geometry at Gresham College, sees symmetry everywhere.

### 2023’s Biggest Breakthroughs in Math

In 2023, mathematicians improved bounds on Ramsey numbers, a central measure of order in graphs; found a new aperiodic monotile; and discovered a new upper bound to the size of sets without 3-term arithmetic progressions.

### 2023’s Biggest Breakthroughs in Physics

In 2023, physicists found the gravitational wave background that’s made by supermassive black hole collisions, teleported quantum energy in the lab, and puzzled over JWST’s potentially cosmology-breaking discoveries.