Talking blockchain, functional programming, and the future with Tezos co-founder Arthur Breitman

Talking blockchain, functional programming, and the future with Tezos co-founder Arthur Breitman

While blockchains are huge right now, finding one to build on that doesn’t use a ton of energy, has good privacy protections, and operates efficiently is harder than it looks. The original breakout blockchain, Bitcoin, was slow to adopt any innovations coming out of research. Other blockchains use the electricity of a small country to play elaborate gambling games. For someone looking to build the future of Web3, what are your options?

On this sponsored episode of the podcast, we talk to Tezos co-founder Arthur Breitman. After finding out that the Bitcoin blockchain wouldn’t incorporate all the good ideas generated around it—proof of stake, privacy improvements, and smart contracts to name a few—he decided to build his own.

Arthur has a background in machine learning and statistics but spent his early 20s teaching self-driving cars how to turn left and working in quantitative finance for high-frequency trading. High-frequency trading was data-driven, but there was so much noise that machine learning didn’t do very well. Self-driving cars, meanwhile, presented a more structured problem, so neural networks could yield good results.

Around that time, Arthur got bit by the crypto bug. It lived at the intersection of a lot of his interests: Cryptography touched on computer science and math, but his time in finance got him wondering about banks and money work. The idea of individual sovereignty scratched a personal philosophical itch.

Naturally, Arthur decided to try some mining software. It took all of his computer’s resources, so he uninstalled it. But after seeing the price of Bitcoin break a dollar and other news items about it, he looked closer. He started to think about what a company could do if it didn’t have to maintain banking relationships. He thought about possible applications, like decentralized poker.

When Bitcoin refused to adopt the improvements developed by competing alt coins, Arthur started thinking about a new blockchain that would respond to new developments and focus on efficient processing, security, and a good smart contract system. Forking the code wasn’t enough; he needed a new ledger.

That’s when Tezos was born. It was initially built by a small team of OCaml programmers using that language’s functional subset. Arthur was inspired by the example of WhatsApp, which was built by a small team of senior Erlang engineers. While OCaml would limit the talent he could hire, it would be a very efficient way to build an error-free transaction system. He could have built the whole thing in Java, sure, but Arthur estimates that it would have cost a whole lot more.

If you’re interested in learning more about what an engineer’s blockchain ecosystem looks like, check out the Tezos home page. Discover building on Tezos: https://tezos.com/build/

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Generating components, not tokens

Generating components, not tokens

Bit lets you generate composable software simplicity, speed and quality. Connect with Laly on LinkedIn. Congrats to Lifeboat badge winner and blog contributor Charlie Martin for their answer to How does this proof, that the halting problem is undecidable, work?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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WBIT #7: Exploring WebAssembly with the first SO user to get 10k rep

WBIT #7: Exploring WebAssembly with the first SO user to get 10k rep

Kyle notes that his only experience with WebAssembly is Blazor. If you’re wondering about Blazor, we covered it on the blog in 2020. While Michael may have been the first user to get 10,000 rep, he’s not stopping there. His current employer, neuRealities, is still in stealth mode, shhhh.Find Michael on his blog and possibly elsewhere.  See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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How AI can prevent clinician burnout

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Lunar Analytics specializes in AI-powered claim optimization and healthcare solutions. Connect with Richard on LinkedIn. Knowtex allows healthcare providers to automate clinical workflows with generative AI. Connect with Caroline on LinkedIn.Delve Deep Learning provides artificial intelligence solutions for public affairs. Connect with Jeff on LinkedIn.This episode was recorded at HumanX last month. Next year’s conference will be April 6-9, 2026 in San Francisco. Register today!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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How do you fact-check an AI?

How do you fact-check an AI?

Vectara is a platform-as-a-service that allows users to build AI assistants and agents. Get started with their docs.This interview was recorded at HumanX last month. They are gearing up for next year’s conference on April 6-9, 2026. Follow Amr on LinkedIn.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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“There is a real cost to moving fast”: Using AI to accelerate drug discovery

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They also: Explore key challenges engineering leaders face, including data capacity, relevance, and throttling issues. Highlight how emerging AI tools and applications are transforming software engineering practices. Episode notes: Connect with Maureen Makes on LinkedIn. Learn more about Recursion and their open roles here. Read about Knowledge Solutions, a subscription-based API service that provides continuous access to Stack Overflow’s public dataset to train and fine-tune large language models. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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WBIT #6: Be curious, ask questions, and don’t argue with JavaScript

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When this episode was recorded, Jesse worked for WaveSeven Consulting, which provides business advisory and project delivery support for media and entertainment companies. He now works for ClickUp, same as previous Stack Overflow Podcast guest, RJ Tuit. Read Jesse’s hot takes on his blog.You can connect with Jesse as Jtomchak on all the socials. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Bottom of the first: A veteran VC’s take on the AI landscape

Bottom of the first: A veteran VC’s take on the AI landscape

Tomasz is a general partner at Theory Ventures, a venture capital firm focused on early-stage software companies.He’s a coauthor of Winning with Data, a deep dive into how big data has changed business best practices and organizational culture.Tomasz was on the podcast back in 2023. Give it a listen!Explore Tomasz’s writing.Follow Tomasz on LinkedIn.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Is AI a bubble or a revolution? The answer is yes.

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2024 was a defining year for AI investment. Read the HumanX/Crunchbase report.You can learn more about HumanX or register for next year’s event, April 7-9, 2026 in San Francisco.Follow Stefan on LinkedIn.Follow Jager on LinkedIn. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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