From First Principles, the FFP Pod: Breaking down science news so it makes sense to curious people everywhere.

A weekly video podcast with Krishna Choudhary and Lester Nare. Watch, listen, or both.

Fig. 1The five Platonic solids, each opened flat to the parts it is built from.
Latest
EP 55
Episodes
Watch Why Spin Qubits Will Win the Quantum Race (Part 2)

Why Spin Qubits Will Win the Quantum Race (Part 2)

Part II of our quantum computing deep dive compares the leading hardware architectures, and asks whether silicon’s greatest advantage is not simply making good qubits, but making quantum computers that can actually scale.

Recent episodes

EP 49–54
All episodes
  1. EP 54

    How Quantum Computing Actually Works (Part 1)

    Part I of our quantum computing deep dive traces the field from Bell and Feynman to Deutsch and Shor—and explains what quantum computers actually do differently from classical machines.

    How Quantum Computing Actually Works (Part 1)
  2. EP 53

    What Claude Actually Did to the Riemann Hypothesis

    Claude takes a real run at the Riemann Hypothesis, forcing us to ask what agentic AI can now do in mathematics, before we open the summer transfer window for America’s scientists.

    What Claude Actually Did to the Riemann Hypothesis
  3. EP 52

    The Amazon’s Hidden Civilization (One Year Anniversary)

    For FFP’s first anniversary, we uncover the densely populated precolonial Amazon, imagine what our civilization will leave behind, and build the first shelves of the From First Principles library.

    The Amazon’s Hidden Civilization (One Year Anniversary)
  4. EP 51

    The Tech Elon Has Been Waiting For

    A graphene-based memory device works at 1,300°F, opening new possibilities for extreme-environment electronics, in-memory AI, planetary exploration, and data centers in space.

    The Tech Elon Has Been Waiting For
  5. EP 50

    AI Breaks a 90-Year Math Problem, Life’s Alphabet in Space, and Science Funding

    Asteroid samples reveal life’s molecular alphabet, Washington battles over who controls science funding, and AI produces a counterexample to a 90-year-old mathematics conjecture.

    AI Breaks a 90-Year Math Problem, Life’s Alphabet in Space, and Science Funding
  6. EP 49

    FIFA Data Scientists Explain Match Momentum

    FIFA data scientists Juan Busso and Arron Ackerman explain how player tracking, pitch control, space creation, and threat are transformed into the World Cup’s Match Momentum visualization.

    FIFA Data Scientists Explain Match Momentum

Funding

FY 2025
$197B
Explore
1960198020002020
DOD 49%
HHS 25%
DOD
DOD 49%
HHS
HHS 25%
DOE
DOE 11%
NASA
NASA 6%
NSF
NSF 4%
Other agencies
8 more 7%
Fig. 2 Real federal R&D, 1953 to 2023, in constant 2017 dollars, with five turning points marked; below it, the fiscal year 2025 split of $197 billion by agency. Source: AAAS Historical R&D Data.

Where $197 billion of federal science money goes

For thirty years Washington paid for most of American science. Then industry passed it, the Pentagon kept half of what remained, and the federal share of the economy fell to a third of its peak. Seventy years of AAAS data, told in five chapters.

FY 2026 is enactedTrack the cycle

Research

60 papers
All research
  1. Nature

    A digitally controlled silicon quantum processing unit

    Imagine you want to build a super-powerful calculator that uses the weird rules of quantum physics to solve problems no regular computer can. The trouble is, the tiny quantum pieces — called qubits — are incredibly fragile and need to be kept colder than outer space. On top of that, you need wires and control signals going to every single qubit, and if you have thousands of them, the wiring becomes a nightmare. This team solved part of that puzzle by building their qubits out of silicon (the same stuff in your phone's chip), adding a tiny control computer that works at super-cold temperatures right next to the qubits, and using a special high-density cable to connect everything cleanly. They packed 54 tiny quantum dots onto a chip, arranged 18 of them into working qubits, and showed the qubits work about 10 times better than any previous silicon qubit of this type. They also ran basic error-correction experiments to prove the system is on track for real-world use.

  2. Nature

    Over 20,000 precolonial earthworks in the Southwest Amazonia

    Imagine flying a special laser scanner over the Amazon jungle that can 'see through' the treetops, like X-ray vision for the ground. When scientists did this, they found over 20,000 geometric shapes — ditches, mounds, and enclosures — built by ancient people long before Europeans arrived. These aren't small things: they're massive earthen structures, like monuments. This means the Amazon rainforest, which most people picture as empty wilderness, was actually home to millions of people who built cities and shaped the landscape. Think of it like discovering that a forest you thought was wild was actually someone's ancient garden on a continental scale.

  3. Scientific American

    The 2026 World Cup's grass is an engineering problem

    Imagine you're trying to play soccer in 16 different places across the United States, Canada, and Mexico — some in freezing cold, some blazing hot, some in stadiums with roofs that block sunlight. Half of those stadiums normally use fake grass. Now FIFA, the organization that runs the World Cup, wants every single pitch to feel and play exactly the same way, like a video game where every level has identical physics. To do that, they hired grass scientists — yes, that's a real job — who figured out how to grow special grass on thin mats with plastic underneath so it can be transported like a carpet, stitched with synthetic fibers so it doesn't rip when players sprint and tackle, and tested by literally shooting balls at it with a cannon to make sure it bounces right. Different grass species are used depending on whether a stadium is hot, cool, or dark. It's basically a giant, living, high-tech floor installation that has to survive the world's best athletes running on it.

  4. Monthly Notices of the Royal Astronomical Society

    Remarks on the disproof of the unit distance conjecture

    Imagine you scatter a bunch of dots on a piece of paper. The question is: how many pairs of those dots can be exactly 1 inch apart? The Erdős unit distance conjecture asked whether there's a specific mathematical formula that limits how often this can happen as you add more and more dots. Think of it like asking how many friendships can exist in a town where friends are defined as people who live exactly one mile apart — there's a suspected maximum, and Erdős guessed what that maximum should be. For decades, no one could prove or disprove his guess. Now, an AI apparently found a specific arrangement of dots (a 'counterexample') that breaks the expected limit, proving Erdős's conjecture was wrong. A team of elite mathematicians then checked and explained the AI's work in this paper.

  1. Nature Genetics

    Non-Mendelian inheritance of DNA methylation patterns in mice

    Imagine your DNA is like a huge book of instructions. Mendel's laws are the normal rules for how chapters of that book get passed from parents to children. But there's also a layer of sticky notes on top of the book—called epigenetic marks—that tell cells which chapters to read and which to ignore. This study found that most of the time (about 93%), these sticky notes follow the normal inheritance rules. But about 7% of the time, they do something unexpected: new patterns appear that neither parent had, or a mark from one parent somehow silences the same mark from the other parent (called paramutation), or males and females end up with completely different sticky notes even when they inherit the same DNA. Scientists discovered this by using a new ultra-precise DNA reading technology in mice, and it opens the door to understanding hidden layers of how traits—and possibly diseases—are passed down through generations.

  2. New England Journal of Medicine

    Digital twin–guided ablation for ventricular tachycardia

    Imagine your heart is a city, and ventricular tachycardia is like a traffic jam caused by a broken road — electrical signals get stuck going in circles instead of flowing properly, causing the heart to beat dangerously fast. Doctors can fix this by burning away the broken road using a procedure called ablation. The problem is, finding the exact broken road inside a beating heart is like navigating a city you've never visited before, while driving, in the dark. What these researchers did is take detailed MRI pictures of each patient's heart, build a 3D computer copy — a 'digital twin' — and then simulate where the electrical problem was happening inside that virtual heart. They tested their fix on the computer model first, figured out exactly where to go, and THEN performed the real procedure. What used to take three hours of exploratory surgery was done in about 30 minutes, because the doctors already had a GPS map before they started.

  3. Nature Neuroscience

    Adversarial AI reveals mechanisms and treatments for disorders of consciousness

    Imagine your brain is like a city with millions of roads and traffic systems. When you're awake and conscious, traffic flows in complex, coordinated patterns. In a coma, something has gone wrong — but we've never had a great way to figure out exactly which roads are broken or how to fix them. This study built a very smart AI that learned to tell the difference between 'awake brain' and 'coma brain' by studying hundreds of thousands of brainwave recordings. Then, like a detective, the AI was pitted against a simulated model of the brain to figure out: what changes in the brain's wiring would explain the difference? The AI figured out — on its own, without being told — that two key things go wrong in a coma: a specific circuit deep in the brain (called the basal ganglia indirect pathway) gets disrupted, and the brain's 'braking system' (inhibitory neurons) starts working too hard in the wrong places. The researchers then checked these predictions against real patient data, and both checked out. The AI also suggested that zapping a specific deep brain region with high-frequency electrical pulses might help wake people up — and early evidence from human patients supports this idea.

  4. Nature Astronomy

    A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu

    Imagine DNA as a message written in a 4-letter alphabet. Those 'letters' are called nucleobases, and there are five of them: A, T, G, C, and U. Scientists collected tiny rock samples from an asteroid called Ryugu — a rock floating in space about 300 million kilometers from Earth — using a robotic spacecraft. When they looked very carefully at those rocks in a laboratory, they found ALL five of those biological 'letters' inside. Nobody put them there; they formed naturally in space through chemistry involving ice, water, and simple ingredients like ammonia. It's like finding all the pieces of an alphabet scattered across the cosmos, ready to be assembled into the language of life.

Transfers

2025–26
37 moves
Board
  1. USUnited States, net -20
  2. CNChina, net +7
  3. CHSwitzerland, net +5
  4. FRFrance, net +3
  5. HKHong Kong SAR, net +2
  6. GBUnited Kingdom, net +1
Fig. 3 Net flow of senior scientists by country in the 2025–26 window: arrivals minus departures, full moves only. 4 more countries with smaller net changes are not drawn.
A new board, still filling inHow we count

America 250

17472025
Timeline