Ryan sits down with Dimitri Stiliadis, CTO and co-founder of Endor Labs, to talk about how AppSec is evolving to address AI’s use cases. They discuss the implications of AI-generated code on security practices, the importance of human oversight in managing vulnerabilities, and how organizations should be balancing security and efficiency with AI.
Episode notes:
Endor Labs is AppSec for the software development revolution, helping you pinpoint critical risks whether your code is written by a human or AI.
M.G. Siegler of Spyglass is back for our monthly tech news discussion. Today we discuss OpenAI and AMD's megadeal, whether the AI investment cycle is a disaster waiting to happen, and how NVIDIA might feel about the arrangement. We also discuss Sam Altman and Jony Ive's struggles in developing their own AI device and how all tech companies seem to be building the same AI enabled ambient computing. Finally, we pour one out for the Vision Pro. Tune in for a deep discussion of tech's biggest news with one of the industry's leading analysts.
---
Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.
Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b
Questions? Feedback? Write to: bigtechnologypodcast@gmail.com
Today we’re turning tiny tips into big wins. Khuyen Tran, creator of CodeCut.ai, has shipped hundreds of bite-size Python and data science snippets across four years. We dig into open-source tools you can use right now, cleaner workflows, and why notebooks and scripts don’t have to be enemies. If you want faster insights with fewer yak-shaves, this one’s packed with takeaways you can apply before lunch. Let’s get into it.
CodeCut: codecut.ai Production-ready Data Science Book (discount code TalkPython): codecut.ai
Why UV Might Be All You Need: codecut.ai How to Structure a Data Science Project for Readability and Transparency: codecut.ai Stop Hard-coding: Use Configuration Files Instead: codecut.ai Simplify Your Python Logging with Loguru: codecut.ai Git for Data Scientists: Learn Git Through Practical Examples: codecut.ai Marimo (A Modern Notebook for Reproducible Data Science): codecut.ai Text Similarity & Fuzzy Matching Guide: codecut.ai Loguru (Python logging made simple): github.com Hydra: hydra.cc Marimo: marimo.io Quarto: quarto.org Show Your Work! Book: austinkleon.com
Max Zeff, Sr. AI reporter at Techcrunch, joins for our weekly discussion of the latest tech news. We cover: 1) OpenAI introduces Sora 2 2) Will these AI video feeds catch on? 3) Is Sora 2 an important technological advance above all? 4) Why Meta is nervous about OpenAI's momentum in social 5) OpenAI employees have mixed feelings about Sora 6) Why AI video feeds may be the end of the creator economy. 7) Why they may not be 8) Meta will use AI chats to train its ad models 9) Meta's AI research moves more toward product development 10) Anthropic launches its Sonnet 4.5 model 11) Apple prioritizes smart glasses 12) Max tries out the Friend pendant
---
Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.
Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b
Three Faces Of Generative AI: https://www.bigtechnology.com/p/the-three-faces-of-generative-ai
Questions? Feedback? Write to: bigtechnologypodcast@gmail.com
Gil Feig, co-founder and CTO of Merge, joins the show to explore Merge’s approach for reducing third-party APIs to a single call, the complexities of and need for data normalization, and the role that AI and MCP plays in the future of API functionality.
Episode notes:
Merge connects you to any third-party system for fast, secure integrations for your products and agents.
Harish Chandramowli grew up in a small town in India. The goal was simple early on - study well, go to university, and get a job. After undergrad, he realized he can do so much more, eventually coming stateside to get his masters, and meet a ton of really smart people over the last 10 years. Outside of tech, he is a broadway show fanatic, seeing 1-2 on a regular basis. He also follows Manchester United, which can be difficult watching the lose on the regular.
Harish used to work for MongoDB, and spent some time on call and in the weeds. At that time, he realized how much data is used by a business. When he eventually supported the fashion industry, specifically the back office, he wanted to build a solution to make the lives of those back office individuals as easy as possible.
In the second part of this two-part Leaders of Code episode, Peter O'Connor, Director of Platform Engineering, and Ryan J. Salva, Senior Director of Product at Google Developer Experiences, dive beyond AI hype to explore the shifts reshaping how engineering teams operate and scale. From the critical role of documentation quality in AI workflows to the cultural transformations needed for successful adoption, Peter and Ryan discuss the deeper implications of integrating AI into modern software development practices.
The discussion also:
Explores how poor documentation creates problems as AI systems learn and repeat mistakes, making high-quality documentation essential for successful AI integrations.
Covers how consistent tools and processes become more important when using AI, and why leaders should prioritize helping teams learn and experiment with AI tools instead of just measuring productivity.
Offers practical advice for leaders on how to create environments where developers can learn and build confidence with AI tools.
Scott Guthrie is the executive vice president of Cloud and AI at Microsoft. Guthrie joins Big Technology Podcast to discuss the tech industry's massive AI infrastructure buildout and whether it is overdoing it with the hundreds of billions of investment. Guthrie discusses the way Microsoft thinks about its OpenAI investment, whether it's worth investing in scaling pre-training, and Silicon Valley's growing debt problem Tune in for the second half where we discuss the longevity of the GPU, custom silicon, and competing with NVIDIA.
---
Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.
Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b
Questions? Feedback? Write to: bigtechnologypodcast@gmail.com
Pavel Durov is the founder and CEO of Telegram.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep482-sc
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
OUTLINE:
(00:00) – Introduction
(02:46) – Sponsors, Comments, and Reflections
(11:29) – Philosophy of freedom
(14:37) – No alcohol
(22:42) – No phone
(28:38) – Discipline
(49:50) – Telegram: Lean philosophy, privacy, and geopolitics
(1:05:12) – Arrest in France
(1:21:23) – Romanian elections
(1:32:18) – Power and corruption
(1:41:50) – Intense education
(1:53:51) – Nikolai Durov
(1:58:19) – Programming and video games
(2:02:33) – VK origins & engineering
(2:19:46) – Hiring a great team
(2:29:02) – Telegram engineering & design
(2:48:04) – Encryption
(2:53:01) – Open source
(2:57:48) – Edward Snowden
(3:00:20) – Intelligence agencies
(3:01:32) – Iran and Russia government pressure
(3:04:41) – Apple
(3:11:38) – Poisoning
(3:43:53) – Money
(3:52:45) – TON
(4:02:35) – Bitcoin
(4:05:34) – Two chairs dilemma
(4:12:14) – Children
(4:23:24) – Father
(4:27:55) – Quantum immortality
(4:34:27) – Kafka
Madhavan "Maddy" Malonan has always been in - and around - technology, and fell in love with building things early on. He got a video game console early on, and found it a little boring. BUT, when his Dad got a computer and he played Age of Empires, he got excited about all the possibilities, trying to tinker with building things that mimicked these computer games. Even these days, he writes a lot of code, building side projects with Claude Code. When he's not coding, he's playing sports, primarily tennis.
Maddy and his team identified that verification of age, credentials, employment history, etc. was a big, big problem. So much so, that it was difficult to do so in a tamper proof, zero knowledge proof manner. They set out to create a solution - and protocol - to solve this problem.
