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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Junky data is like an out-of-tune guitar—it prevents AI harmony

Junky data is like an out-of-tune guitar—it prevents AI harmony

Welcome to Leaders of Code, a new business segment of the Stack Overflow podcast. On this show, we chat with business, tech, and engineering leaders from forward-thinking companies across industries about their business strategies, the challenges and opportunities of building high-performing teams, driving innovation, leveraging the power of AI, and other key topics. Tune in every second Thursday for real-world success stories, actionable strategies, and fresh perspectives to help you navigate your leadership and growth journey.In our very first episode, Stack Overflow CEO Prashanth Chandrasekar talks to Don Woodlock, Head of Global Healthcare Solutions at InterSystems, about the challenges in their AI journey and the critical role of a robust data strategy in any successful AI initiative.They also: Discuss the importance of maintaining a human-centric approach when automating processes with GenAI, emphasizing trust-building as a top priority. Dive deep into specific use cases and real-world successes and obstacles in AI implementation, from data scalability to system integration. Share their perspectives on common misconceptions about AI in today’s landscape. Episode notes: Connect with Don Woodlock on LinkedIn, explore his video series Code to Care, and learn more about InterSystems. Read more about Knowledge-as-a-service. Learn more about creating a private instance of Stack Overflow for your team or org with, Stack Overflow for Teams.  Read more about OverflowAPI, 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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Sharing the power of the command line

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Semgrep is an AppSec platform that lets devs deploy static application security testing (SAST), software composition analysis (SCA), and secret scans. Explore their docs.Tanya is the author of Alice and Bob Learn Secure Coding and Alice and Bob Learn Application Security.She’s also written for our blog:Three layers to secure a software development organization and Continuous delivery, meet continuous security.Secure coding might be an issue of national security. Follow Tanya on LinkedIn or check out her website.Stack Overflow user Reishin earned a Populist badge with their answer to piping from stdin to a python code in a bash script.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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One quality every engineering manager should have? Empathy.

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