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The Story Behind RSA: The Invention That Secured the Internet (ft. Turing Award Winner Ron Rivest)
24-07-2026 | 54 Min.Before the internet could become a place to bank or transact, it needed a way for strangers to know who they were talking to, and whether a message could be trusted.
Turing Award winners Ron Rivest, Adi Shamir, and Leonard Adleman helped invent it.
In this episode of First Principles, Rivest tells the story of how they developed RSA, the first practical public-key cryptosystem. Their breakthrough made it possible to encrypt information, verify identities, and authenticate messages across an open network without requiring participants to meet or exchange a secret in advance — laying essential groundwork for the secure internet and, decades later, blockchains.
Rivest joins Tim Roughgarden, Head of Research at a16z crypto and Professor of Computer Science at Columbia University, and Dan Boneh — Professor of Computer Science at Stanford University, a16z crypto Senior Research Advisor, and the “B” in BLS signatures — for a conversation about the origins and future of modern cryptography.
They trace the field from its early days, when most cryptographic research was classified and even the meaning of “security” had not been formally defined, through the publication of the Diffie-Hellman paper and the open problem that ultimately led to RSA. Rivest recounts the night the core idea came together, why the difficulty of factoring made the system plausible, and why no one initially knew whether it would survive sustained attempts to break it.
The conversation also explores the other cryptographic primitives that underpin blockchains and the modern internet. Rivest explains why digital signatures interested him even more than encryption, how he designed the MD family of cryptographic hash functions, and why standards such as RSA, DSA, and SHA were shaped as much by politics, patents, and government pressure as by mathematics.
Finally, Rivest shares his unusually candid views on quantum computing, post-quantum security, and the deeper theoretical possibility that P could equal NP. Either development could threaten the foundations of modern cryptography — but, as Rivest argues, cryptographers have a responsibility to prepare for even the worst-case scenarios.
Highlights
00:00 – Intro: the two problems that could break modern cryptography
01:10 – Why Ron Rivest’s work underpins the internet and blockchains
08:10 – Before public-key cryptography, there was no theory of security
11:05 – The open problem that led to RSA
13:55 – The night Ron Rivest discovered the core idea behind RSA
17:55 – Why digital signatures were the real breakthrough
19:14 – The RSA challenge — and a prediction that was off by quadrillions of years
28:33 – How government pressure shaped cryptographic standards
30:36 – Designing the hash functions that made digital signatures practical
33:26 – The Fiat–Shamir transformation, explained
38:04 – Building a cryptography company before the web existed
42:31 – Will quantum computers ever become powerful enough to break RSA?
48:02 – The cryptography securing the internet, elections, and everyday life
50:11 – What surprised Dan: Quantum giveth and quantum taketh away
About First Principles
First Principles is a special limited series from a16z crypto about the scientific roots of modern computing — especially blockchains — told through rare conversations with the pioneers who helped shape the foundational ideas behind distributed systems, consensus protocols, economics, mechanism design, cryptography, zero knowledge, and more.
People often tell the story of the Bitcoin whitepaper as if it appeared out of nowhere. But the ideas behind Bitcoin — and blockchains more broadly — come from decades of computer science, economics, mathematics, and cryptography. First Principles is a guide to that lineage, as told by the people who helped build it.
Subscribe to follow along:
https://www.youtube.com/playlist?list=PLjQ9HCQMu_8yIg60YAq67HDdvp7E_T5e8
Hear more from:
Ron Rivest: https://people.csail.mit.edu/rivest/
Tim Roughgarden: https://twitter.com/Tim_Roughgarden
Dan Boneh: https://twitter.com/danboneh
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As always, none of the following should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.- Long before onchain markets made mechanism design a daily engineering problem, Nobel Prize winner Paul Milgrom was asking how prices actually form — and how better auction rules could reshape actual markets.
His work helped transform auction theory from an elegant branch of economics into a practical toolkit for allocating scarce resources, from wireless spectrum to digital ads to financial markets.
In this episode of First Principles, Tim Roughgarden, Head of Research at a16z crypto, sits down with Milgrom alongside Scott Kominers — Harvard Business School professor and a16z crypto research partner — for a conversation about auctions, information, price discovery, and the design of complex markets.
Together, they explore Milgrom’s foundational work on auction theory, the famous Milgrom-Weber paper, the Grossman-Stiglitz paradox and the Glosten-Milgrom model of market microstructure, and why understanding how prices form matters for everything from prediction markets to decentralized finance.
They also discuss Milgrom’s work designing the FCC spectrum auctions — including the auctions that helped allocate wireless spectrum for technologies like mobile broadband and 5G — and the later FCC incentive auction, a massive market design challenge that combined economics, computer science, policy, and real-world implementation.
Highlights
00:00 Intro: economics assumptions that are “just wrong”
02:19 Scott Kominers on the genius of Paul Milgrom
05:35 The price discovery problem economics forgot
07:48 The auction theory breakthrough of the 1980s
17:15 Why market microstructure matters for DeFi
24:17 When math teaches economics something new
29:22 Designing auctions people can actually use
32:40 How theory became spectrum auction design
36:22 The floppy disk that helped convince the FCC
41:05 What changed when auctions moved online
45:28 The auction that reorganized television
57:25 Why the best auctions feel simple
1:07:30 What economics and computer science can learn from each other
1:13:22 Futures markets for compute
1:15:12 Paul Milgrom’s advice for builders
About First Principles
First Principles is a special limited series from a16z crypto about the scientific roots of modern computing — especially blockchains — told through rare conversations with the pioneers who helped shape the foundational ideas behind distributed systems, consensus protocols, economics, mechanism design, cryptography, zero knowledge, and more.
People often tell the story of the Bitcoin whitepaper as if it appeared out of nowhere. But the ideas behind Bitcoin — and blockchains more broadly — come from decades of computer science, economics, mathematics, and cryptography. First Principles is a guide to that lineage, as told by the people who helped build it.
Subscribe to follow along:
https://www.youtube.com/playlist?list=PLjQ9HCQMu_8yIg60YAq67HDdvp7E_T5e8
Hear more from
Tim Roughgarden: https://twitter.com/Tim_Roughgarden
Scott Kominers: https://twitter.com/skominers
Follow a16z crypto
X: https://twitter.com/a16zcrypto
LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/
YouTube: https://www.youtube.com/@a16zcrypto
Substack: https://a16zcrypto.substack.com/subscribe/
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising. - Long before crypto made coordination programmable, Nobel Prize winner Alvin Roth was designing markets where coordination could save lives.
In this episode of First Principles, Roth tells the story of how he helped build systems for some of the hardest matching problems in the world, from where doctors train and where students go to school to how kidney donors can reach the patients who need them.
He joins Tim Roughgarden, Head of Research at a16z crypto, and Scott Kominers — Harvard Business School professor, a16z crypto research partner, and one of Roth’s former students — for a conversation about how market design moves from theory into the real world. They explore how economic theory becomes practical engineering, whether that's matching riders to Ubers, doctors to medical residencies, students to New York City high schools, or organ donors to people whose lives depend on it.
They also cover how these same problems show up in today’s crypto networks. Roth explains why markets are not just natural forces, but engineered systems; why the details of timing, congestion, incentives, and trust can make or break a marketplace; and why some of the most important markets are the ones where simply exchanging money can’t do the work.
This is a conversation about economics at its most practical and profound: how to design systems that coordinate people, solve real problems, and sometimes save lives.
00:00 Intro: Why market design matters
04:18 The economist as engineer
08:09 When theory meets the real world
07:02 Fixing the medical residency match
15:32 Why markets unravel
18:22 Redesigning NYC high school admissions
28:05 The hidden problem of congestion
34:47 How kidney exchange saves lives
45:26 How the internet changed market design
48:25 Airbnb, Uber and smarter marketplaces
51:28 Repugnant transactions and moral economics
53:32 When markets need social support
54:32 The unexpected effects of criminalizing surrogacy
01:04:58 Preference signals and the job market
01:18:53 A broken market: resettling refugees and other migrants
Hear more from:
Tim Roughgarden: https://twitter.com/Tim_Roughgarden
Scott Kominers: https://twitter.com/skominers
Follow a16z crypto:
X: https://twitter.com/a16zcrypto
LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/
YouTube: https://www.youtube.com/@a16zcrypto
Substack: https://a16zcrypto.substack.com/subscribe/ *
** As always, none of the following should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising. - Before blockchains could reach consensus, Leslie Lamport had to define what agreement even meant when computers fail, lie, or disappear.
In this episode of First Principles: The Scientific Roots of Blockchain Technology, Turing Award-winning computer scientist Leslie Lamport joins Tim Roughgarden Head of Research at a16z crypto and Professor of Computer Science at Columbia University, and a16z crypto Research Partner Ittai Abraham to trace the ideas that helped define modern distributed computing.
Lamport’s work formalized some of the field’s deepest questions: how to reason about concurrent systems, how distributed systems can agree despite failures, and how to prove that protocols do what they are supposed to do. His work on logical clocks, state machine replication, the Byzantine Generals problem, and Paxos has shaped everything from cloud infrastructure to the consensus protocols underlying modern blockchains.
The conversation begins with Lamport’s early work on concurrency and the origins of the Byzantine Generals Problem, and then turns to fault tolerance: what happens when machines crash, behave unpredictably, or even act maliciously? We also cover the feedback loop between theory and practice, the long arc of fundamental research, and how blockchains are inheriting and extending decades of distributed systems work.
Highlights
00:00 – Intro: The problem every blockchain is built to solve
02:52 – Why concurrent systems are surprisingly tricky
04:40 – The origins of the bakery algorithm
07:37 – What does it mean for a protocol to be “correct”?
12:03 – The origins of the Byzantine Generals problem — and what happens when some computers fail
17:49 – How Paxos emerged from an attempted impossibility proof
23:47 – Why theory and practice need each other
33:48 – Government funding, DARPA, and the long arc of foundational research
About First Principles
First Principles is a special limited series from a16z crypto about the scientific roots of modern computing — especially blockchains — told through rare conversations with the pioneers who helped shape the foundational ideas behind distributed systems, consensus protocols, economics, mechanism design, cryptography, zero knowledge, and more.
People often tell the story of the Bitcoin whitepaper as if it appeared out of nowhere. But the ideas behind Bitcoin — and blockchains more broadly — come from decades of computer science, economics, mathematics, and cryptography. First Principles is a guide to that lineage, as told by the people who helped build it.
Hear more from:
Tim Roughgarden: https://twitter.com/Tim_Roughgarden
Ittai Abraham: https://twitter.com/ittaia
Follow a16z crypto:
X: https://twitter.com/a16zcrypto
LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/
YouTube: https://www.youtube.com/@a16zcrypto
Substack: https://a16zcrypto.substack.com/subscribe/
***
As always, none of the following should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising. Before Blockchains, There Was State Machine Replication (ft. Barbara Liskov and Tim Roughgarden)
22-06-2026 | 35 Min.Every blockchain today leans on replication ideas worked out in the 1980s, by a Turing Award winner who wasn’t thinking about how it might apply to money at all.
In this episode of First Principles, a16z crypto Head of Research and Columbia professor Tim Roughgarden speaks with Barbara Liskov, MIT professor, Turing Award winner, and one of the most influential computer scientists in programming languages, data abstraction, fault tolerance, and distributed computing. a16z crypto research partner Ittai Abraham joins the conversation.
The discussion traces Liskov’s path from programming languages and modularity to distributed systems research; from CLU and Argus to viewstamped replication; and from benign failures to Practical Byzantine Fault Tolerance, or PBFT — a protocol family whose ideas now shape many modern blockchain systems. Liskov explains why modularity matters, how systems researchers thought about replication in the 1980s, why view changes were such a key idea, and how PBFT extended earlier work to handle malicious behavior on the internet.
The conversation also explores the bridge between theory and practice, the importance of proofs and specifications, and why the next generation of systems research may be reshaped by AI. First Principles is a special, limited series from a16z crypto about the scientific roots of modern computing — especially blockchains — told through rare conversations with the pioneers who helped shape the foundational ideas behind distributed systems, consensus protocols, economics, mechanism design, cryptography, zero-knowledge, and more. People often tell the story of the Bitcoin whitepaper as if it appeared out of nowhere. But the ideas behind Bitcoin — and behind blockchains more broadly — come from decades of computer science, economics, mathematics, and cryptography.
First Principles is a guide to that lineage, as told by the people who helped build it.
Highlights:
00:00 Intro: How do systems stay reliable when parts fail?
01:18 Barbara Liskov’s path from programming languages to distributed systems
05:45 Why modularity is “everything”
07:22 The replication problem: keeping data available across many machines 09:58 Viewstamped replication and the “ledger” before blockchains
16:32 Why good research starts with what you don’t understand
18:10 Leslie Lamport, Paxos, and the inevitability of ideas in the right time, in the right place
21:48 Practical Byzantine Fault Tolerance: what changes when replicas can lie
19:35 How PBFT bridged theory and practical systems
22:38 Why you should never trust an individual replica
28:39 Why blockchains are state machine replication in the wild
31:27 AI, verification, and the future of computer science
Follow:
Tim Roughgarden: https://twitter.com/Tim_Roughgarden
Ittai Abraham: https://twitter.com/ittaia
Follow a16z crypto: X: https://twitter.com/a16zcrypto
LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/
YouTube: https://www.youtube.com/@a16zcrypto
Substack: https://a16zcrypto.substack.com/subscribe/
*** As always, none of the following should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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