Modern CTO

Today we’re talking to Eriona Hysolli, Head of Biological Sciences at Colossal Biosciences; and we discuss how Colossal is working on bringing wooly mammoths back from extinction, the role de-extinction will play in conservation in the future, and the DNA editing and printing technology that’s being used for de-extinction efforts.

All of this right here, right now, on the Modern CTO Podcast!

Today, we're talking to Mario Ciabarra, founder and CEO of Quantum Metric. We discuss why a generative AI demo that works in an afternoon proves almost nothing, how testing ten ideas against real customers beats betting on one big strategy, and why building a multibillion dollar company comes down to loving the daily grind more than anyone expects.

All of this right here, right now, on the Modern CTO Podcast!

What’s left for humans to do once AI is better at solving problems than we are? Today, we’re talking to Scott Aaronson, a theoretical computer scientist at UT Austin who has spent his career on quantum computing theory. We explore how AI is changing the way we do math and teach students, what it takes to keep increasingly capable systems aligned with human goals, and why one of computer science’s most famous puzzles, P versus NP, matters to everyday programmers.

All of this right here, right now, on the Modern CTO Podcast!

The best reliability work is the kind nobody notices, and that's exactly why it deserves more credit. Today, we're talking to Kolton Andrus, founder and CEO of Gremlin. We discuss why the engineers who prevent fires deserve as much recognition as the ones who fight them, how testing failure on purpose turned a dreaded holiday on-call into a quiet one, and why teams that pair AI speed with real-world testing can build software that holds up.

All of this right here, right now, on the Modern CTO Podcast!

Want to know more about Gremlin? Check their Website https://www.gremlin.com/

Most companies at scale can't tell you what a single feature actually costs to run, but Erran Berger, CTO of Engineering at LinkedIn, can. We discuss why that blind spot is more common than you'd think, why treating AI transformation as bad for employees is a false premise, and how LinkedIn reorganized its teams into small, cross-functional pods now that AI lets one person do the work of several.