Key Moments

Po-Shen Loh: Mathematics, Math Olympiad, Combinatorics & Contact Tracing | Lex Fridman Podcast #183

Lex FridmanLex Fridman
Science & Technology4 min read141 min video
May 14, 2021|362,866 views|7,831|407
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TL;DR

Po-Shen Loh discusses math, innovation, and his app Novid for anonymous contact tracing.

Key Insights

1

Mathematical concepts like network theory and combinatorics can be applied to real-world problems such as disease control.

2

The Novid app uses Bluetooth and network theory to provide anonymous contact tracing, focusing on user privacy and empowering individuals to make informed decisions.

3

Inventing solutions and developing the ability to 'invent' is a crucial skill, applicable in mathematics and beyond.

4

Programming competitions and math Olympiads foster problem-solving skills, efficiency, and creative thinking, transferable to entrepreneurship and research.

5

Education should focus on teaching students how to invent and think critically, rather than just memorizing methods.

6

The beauty of mathematics lies in finding novel perspectives to simplify complex problems and the potential for discovered truths to be universal.

THE BEAUTY OF HUMAN ACHIEVEMENT AND MATHEMATICAL ABSTRACTION

The conversation opens with ponderings on the marvel of human achievements like flight and skyscrapers, highlighting our reliance on a complex network of specialized knowledge. This leads to the concept of abstractions, from basic computer bits to sophisticated AI, underscoring how complex systems are built layer by layer. Mathematical thinking is presented as a fundamental tool that enables these advancements, allowing us to break down and understand intricate problems.

FROM GAMING TO ALGORITHMS: PROGRAMMING AND COMPETITIVE MATH

Loh recounts his early experiences programming games from scratch using Pascal and C++, emphasizing the desire to build complete, functional systems. This transitioned into competitive programming, which, unlike game development, focused on writing highly efficient functions. These competitions taught the value of quick thinking, elegant solutions, and the power of computers to perform tasks much faster than humans, skills he believes are crucial for building startups and tackling large-scale problems.

EMBRACING THE 'HARDNESS' OF MATHEMATICS AS A REWARDING CHALLENGE

Addressing the common perception of math as 'hard,' Loh reframes it not as a memory challenge, but as an 'invention' challenge. He advocates for teaching methods that empower students to discover solutions independently, fostering a sense of accomplishment. This contrasts with rote memorization and practice, emphasizing that the ability to invent and solve novel problems is the true reward and a fundamental skill for lifelong learning and innovation.

NOVid: ANONYMOUS CONTACT TRACING THROUGH NETWORK THEORY

Loh details the creation of Novid, an app developed to combat COVID-19 using network theory and smartphones. Unlike traditional contact tracing, Novid prioritizes user anonymity and emphasizes privacy. It quantifies proximity not by physical distance, but by the number of relationships separating an individual from a potential illness. This approach aims to create positive feedback loops, incentivizing users to protect themselves by avoiding sick individuals, thereby enhancing disease control.

GAME THEORY AND MECHANISM DESIGN FOR DISEASE CONTROL

The underlying principle of Novid is rooted in game theory and mechanism design, drawing parallels to free-market economies over central planning. By aligning individual incentives with the collective good, the app encourages adoption and participation. Loh highlights that the more deadly a disease, the stronger the incentive to use the app, creating an effective feedback loop that empowers individuals to manage their risk anonymously and without coercion, a stark contrast to more authoritarian public health measures.

THE INTERNATIONAL MATH OLYMPIAD AND DEVELOPING 'INVENTORS'

As coach of the USA International Math Olympiad team, Loh emphasizes developing students' capacity for invention rather than just winning. He views the Olympiad as a platform for nurturing critical thinkers who can tackle complex problems, viewing success not just by competition results, but by their future impact. This philosophy extends to his teaching at Carnegie Mellon, where exams are designed to test invention and problem-solving skills on novel material.

THE POWER OF PERSPECTIVE AND THE BEAUTY OF DISCRETE MATH

Loh finds beauty in mathematics through reframing complex problems from different angles, simplifying them. Combinatorics, or the study of discrete structures, particularly appeals to him due to its contrast with continuous mathematics like calculus. He highlights how concepts like network theory, originating from discrete math, can have profound practical applications, from disease spread to voting systems.

COMPLEXITY, VOTING TREES, AND DISTRIBUTED ALGORITHMS

The discussion delves into computational complexity, highlighting its importance in practical applications like disease control. Loh explains voting trees and the challenge of designing efficient circuits for elections, noting that even simple-looking problems can have complex solutions. He also touches upon stochastic coalescence, discussing how distributed algorithms, while seemingly complex, can be optimized from near-logarithmic to near-square root time complexity with clever design choices.

FOSTERING INVENTION AND LIFELONG LEARNING

Loh stresses the importance of developing the skill of invention in individuals, encouraging them to aim for challenging, impactful pursuits rather than settling for comfort. He advocates for a lifelong learning approach, characterized by continuous self-improvement and the practice of thinking critically. Teaching others, even children, is presented as a powerful way to solidify one's own understanding and foster invention.

THE MEANING OF LIFE AND THE LEGACY OF IDEAS

Loh shares his personal philosophy on life's meaning: maximizing the positive impact of one's work that outlasts their existence. He likens this to scientists who continue to influence generations and emphasizes that the ideas we carry and invent are more significant than fleeting individual accomplishments. This perspective fuels his drive to tackle difficult problems with the hope of contributing lasting knowledge and potentially influencing future civilizations or even artificial intelligence.

Learning & Teaching Mathematics: Po-Shen Loh's Approach

Practical takeaways from this episode

Do This

Approach math problems with the mindset of invention, not just memorization of methods.
Present problems to students and allow them to invent solutions with minimal initial guidance and progressive hints.
Prioritize understanding 'why' something works or is intuitive, rather than just 'how' to perform an action.
If you're an adult, engage with middle school math competition problems, potentially with your kids, as a practical way to develop mathematical thinking.
Choose problems to work on that, if successful, 'might matter' and have a significant, long-term impact on the world.
Embrace challenges and see 'hard' as a positive, rewarding aspect of learning and invention.
Focus your educational goals on developing general talent and the ability to contribute new ideas, rather than just winning competitions or getting good grades.
Practice daily thinking about problems or ideas outside your immediate work to build a 'thinking muscle'.
If you want to learn something, teach it.

Avoid This

Don't rely on spoon-feeding students methods; encourage independent problem-solving.
Don't solely focus on memory-based learning in mathematics.
Don't avoid difficult problems; see them as opportunities for growth and invention.
Don't worry excessively about failure when pursuing significant, challenging endeavors; focus on the regret of not trying.
Don't treat mathematical olympiads only as competitions to win, but as a means to develop inventive minds.
Don't let the noise of misinformation cloud accurate public health information during crises.

Common Questions

Po-Shen Loh teaches by presenting interesting questions that students don't immediately know how to solve. He encourages them to 'improvise' and collaborate to invent proofs and solutions. His unique exam format involves open notes but entirely new problems not covered in class, forcing students to invent solutions.

Topics

Mentioned in this video

People
Benny Sudakov

Po-Shen Loh's PhD advisor, who inspired him to choose problems that 'might matter if you succeed,' influencing his decision to work on Novid.

Jacob Fox

A famous researcher at Stanford and a friend of Po-Shen Loh, who asks what new tools are learned from solving a math problem, beyond the solution itself.

Gary Kasparov

Chess grandmaster, used as an example to illustrate that even experts have difficulty articulating the full heuristic function behind their intuitive decision-making.

Scott Aaronson

A computer scientist who, humorously, estimates the probability of P ≠ NP at 3%, which Po-Shen Loh finds motivating for researchers.

Grant Sanderson

Creator of the '3Blue1Brown' YouTube channel, whose math videos are seen as inspirational tools but not a daily ritual for math practice.

Al Lubetzky

Collaborator with Po-Shen Loh on a proof demonstrating the behavior of lumps in stochastic coalescence.

François Chollet

From Google, designed IQ-like tests for AI that humans find simple but AIs find difficult, emphasizing AI's current limitations in pattern invention.

Isaac Newton

Physicist and mathematician, mentioned for his discoveries and his quote about calculating heavenly bodies but not the madness of people.

Andrew Wiles

Mathematician known for proving Fermat's Last Theorem, whose multi-year dedication illustrates the patience required for deep mathematical problems.

Stephen Wolfram

Mentioned for his involvement in developing an alien language for the movie 'Arrival', highlighting the challenges of interspecies mathematical communication.

Douglas Adams

Author of 'The Hitchhiker's Guide to the Galaxy', implicitly referenced via the number 42, which influenced Elon Musk.

Elon Musk

Mentioned as an impressive figure in manufacturing, contrasting software-only startups with those building physical products like cars and rockets.

Po-Shen Loh

Professor of Mathematics at Carnegie Mellon University, national coach of the USA International Math Olympiad team, and founder of Expi and Novid.

Albert Einstein

Mentioned by Po-Shen Loh for his ability to make 'obvious observations' that led to profound discoveries, paralleling Novid's simple core idea.

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