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a16z crypto show: Daily Summaries Delivered
by a16z crypto, Robert Hackett, Sonal Chokshi
The a16z crypto show explores how decentralized networks are reshaping money, ownership, and the architecture of the internet. We go beyond the hype to look at what’s actually working, what isn’t, and what comes next as crypto continues to go mainstream and blockchains become core infrastructure. Each episode features conversations with founders, engineers, economists, policymakers, and researchers building at the frontier of finance, payments, AI, and distributed systems. We cover stablecoins and global payments, the tokenization of "real-world" assets, decentralized physical infrastructure, network design and governance, and the practical tradeoffs behind decentralization — along with lessons from past technology shifts. Produced and hosted by the a16z crypto team, the show combines reporting, analysis, and first-principles thinking to explain how crypto intersects with the economy and society — and why it matters now.
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- 5 days ago58 min
How AI is Changing the Way We Build Companies (ft. Guy Wuollet and Noah Citron)
For the first time, companies can treat AI token spending almost like headcount: allocate more money, deploy more intelligence, and potentially get more work done. That shift could change much more than engineering productivity. It could reshape how companies form, how teams are managed, how businesses are financed, and who is best positioned to build them. In this episode, a16z crypto General Partner Guy Wuollet and Head of Engineering Noah Citron join host Robert Hackett to explore the economics of the AI-native company. They discuss why engineering teams may soon manage token budgets like P&Ls; how AI enables companies to scale labor up and down almost instantly; and whether the future belongs to smaller, leaner businesses run by people who are unusually good at directing agents. The conversation also covers software-engineering “pod shops,” AI as variable labor, the future of consulting and private equity, and why stablecoins and blockchains may become the default financial infrastructure for AI agents and businesses. Finally, they ask a larger question: If AI has created so much new intelligence, why has it not yet produced an obvious jump in economic growth? And in a world where everyone can access powerful models, will intelligence matter less than grit, judgment, and agency? Highlights 00:00 — Intro 4:01 — Why token spending is starting to resemble headcount 4:51 — Deciding how much spend is too much spend 9:04 — The agentic A/B test: How to quantify "return on tokens" 12:05 — The software-engineering "pod shop" 25:13 — Paying deference to the Machine God 26:06 — The rise (or not) of lean, AI-native microbusinesses 28:05 — Everyone's a manager? The new style of thinking for engineers 30:48 — Why AI agents may naturally use stablecoins 34:33 — When AI productivity will appear in GDP 47:49 — Why grit and agency may matter more than IQ 51:38 — How AI could create new paths for startups 54:53 — Innovation, commoditization, and creative destruction Links: Guy Wuollet: https://x.com/guywuolletjr Noah Citron: https://x.com/noahcitron Robert Hackett: https://x.com/rhackett Subscribe: https://www.youtube.com/@a16zcrypto Website: https://a16zcrypto.com/ X: https://twitter.com/a16zcrypto Newsletter: https://a16zcrypto.substack.com/ 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.
- 1 weeks ago54 min
The Story Behind RSA: The Invention That Secured the Internet (ft. Turing Award Winner Ron Rivest)
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 Follow a16z crypto: X: https://twitter.com/a16zcrypto LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/ YouTube: https://www.youtube.com/@a16zcryp
- 2 weeks ago1h 18m
Why auction design matters (ft. Nobel economist Paul Milgrom)
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.
- 2 weeks ago1h 25m
Why markets fail — and how to fix them (ft. Nobel economist Alvin Roth)
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.
- Jun 25, 202636 min
Leslie Lamport on the Science of Distributed Systems
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.
- Jun 22, 202635 min
Before Blockchains, There Was State Machine Replication (ft. Barbara Liskov and Tim Roughgarden)
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.
- Jun 22, 202620 min
How Bitcoin Rewired a Classic Computer Science Problem (ft. Tim Roughgarden and Ittai Abraham)
Bitcoin often gets credited with inventing trustless consensus. It didn’t. The problem was named decades earlier — in the world of distributed computing — and researchers spent years studying how machines could reach agreement even when some participants were faulty, adversarial, or corrupt. What Bitcoin did was something different: It solved a classic Byzantine agreement problem in a radically new, permissionless setting. And it took the research world years to fully recognize what Satoshi had done. In this episode of First Principles, a16z crypto Head of Research and Columbia professor Tim Roughgarden is joined by a16z crypto research partner Ittai Abraham — one of the world’s leading researchers in Byzantine agreement and consensus protocols, a founding member of VMware’s blockchain project, and founder of the technical blog Decentralized Thoughts — to unpack the scientific roots of blockchain consensus. Together, Tim and Ittai trace the line from classic distributed systems research to Bitcoin, proof-of-stake, Tendermint, Casper, DAG-based protocols, Solana’s Alpenglow, and the modern race for higher throughput and lower latency. Along the way, they explain why concepts like Byzantine fault tolerance, state machine replication, safety, liveness, and partial synchrony are not just academic abstractions — they are the language and design principles behind today’s blockchain protocols. This conversation kicks off First Principles: The Scientific Roots of Blockchain Technology — a special, limited series from a16z crypto on the scientific ideas behind modern computing — especially blockchains — told through conversations with the pioneers who helped create them, including Barbara Liskov, Leslie Lamport, and more. Hosted by Tim Roughgarden, the series explores the foundational concepts behind distributed systems and consensus protocols; economics, mechanism and market design; and cryptography, from digital signatures to zero knowledge. 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, told by the people who helped build it. Highlights 00:00 Introduction to First Principles: The Scientific Roots of Blockchain Technology 00:56 Why consensus matters for blockchains 02:30 Byzantine agreement: The old computer science problem Bitcoin made practical 04:34 Blockchains as a shared system of record: State machine replication and blockchain state 06:41 How two research worlds — distributed computing and crypto — began to converge 07:49 Proof of work vs. proof of stake 09:27 Why Ethereum’s move to proof-of-stake took years 11:08 When crypto rediscovered decades of distributed systems research 11:50 Why BFT became practical 12:49 Throughput, latency, and modern consensus design 14:05 DAG-based protocols and faster blockchains 15:25 Peace time vs. war time: why modern blockchains need two modes 16:47 Theory, practice, and the future of blockchain research 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.
- Jun 12, 20261h 20m
Eddy Deep Dive
Crypto has been walled off from the real economy for years — that's changing. Sonal Chokshi and Robert Hackett sit down with Eddy Lazzarin, a16z crypto's newest General Partner, to break down why crypto is entering a completely different phase and what gets built once the rules finally catch up to the technology. The discussion spans: - what the CLARITY Act actually does and why it changes the design space for crypto founders - the difference between a network token and a security, and why it needs to be written into law - why stablecoins are crypto's first real killer app and how the rest of the economy is reconfiguring around them - how tokens let builders decouple pricing from growth in a way stocks never could - why 97.8% of the value created in capitalism leaks out, and what that means for anyone trying to capture any of it Highlights: 00:00 Intro 01:25 What it means to be a GP 02:00 Consensus vs. non-consensus bets 04:27 Network tokens and the CLARITY Act 09:35 Revenue, value capture, and network-token business models 21:18 Stablecoins as crypto’s first killer app 28:52 Engineer-philosopher mindset 39:04 Intellectual influences 52:40 Eddy’s path to crypto 1:03:15 The exuberant adoption phase of AI 1:14:38 Being "pro–AI psychosis" Follow: Eddy Lazzarin: https://twitter.com/eddylazzarin Sonal Chokshi: https://twitter.com/smc90 Robert Hackett: https://twitter.com/rhackett Follow a16z crypto: X: https://twitter.com/a16zcrypto LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/ YouTube: https://www.youtube.com/@a16zcrypto Subscribe for more industry reports, trend updates, news analysis, builder guides, and other resources: 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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About a16z crypto show
The a16z crypto show explores how decentralized networks are reshaping money, ownership, and the architecture of the internet. We go beyond the hype to look at what’s actually working, what isn’t, and what comes next as crypto continues to go mainstream and blockchains become core infrastructure. Each episode features conversations with founders, engineers, economists, policymakers, and researchers building at the frontier of finance, payments, AI, and distributed systems. We cover stablecoins and global payments, the tokenization of "real-world" assets, decentralized physical infrastructure, network design and governance, and the practical tradeoffs behind decentralization — along with lessons from past technology shifts. Produced and hosted by the a16z crypto team, the show combines reporting, analysis, and first-principles thinking to explain how crypto intersects with the economy and society — and why it matters now.
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