Big Technology Podcast - Is Generative AI a Cybersecurity Disaster Waiting to Happen? — With Yinon Costica

Yinon Costica is the co-founder and VP of product at Wiz, which sold to Google for $32 billion in cash. Costica joins Big Technology Podcast to discuss the extent of the cybersecurity threats that generative AI is creating, from vulnerabilities in AI software to the risks involved in “vibe coding.” Tune in to hear how attackers are using AI, why defenders face new asymmetries, and what guardrails organizations need now. We also cover Google’s $32 billion acquisition of Wiz, the DeepSeek controversy, post-quantum cryptography, and the future risks of autonomous vehicles and humanoid robots. Hit play for a sharp, accessible look at the cutting edge of AI and cybersecurity.---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=0843016bQuestions? Feedback? Write to: bigtechnologypodcast@gmail.com 00:00 Opening and guest intro01:05 AI as a new software stack04:25 Core AI tools with RCE flaws06:18 Cloud infrastructure risks09:20 How secure is AI-written code13:54 Agents and security reviewers17:38 How attackers use AI today22:09 Asymmetry: attackers vs. defenders32:36 What Wiz actually does40:11 DeepSeek case and media spin

Code Story: Insights from Startup Tech Leaders - S11 E18: Theodore Bergqvist, Turbotic

Theo Bergqvist is an entrepreneur who enjoys working a lot. He started his first venture in 1999 in the gaming industry, building Paradox, which is now listed on the Nasdaq. Of all his ventures, the common core to them all was technology. Outside of tech, he lives a life dedicated to Japanese martial arts. He practices 5-6 times a week, and have made several trips to Japan with his Sensei, focusing on the art 10 hours a day.

At one point during his career, Theo was working for Ericson around their transformation. He noticed how difficult it was for enterprises to adopt AI tooling and automation. He decided to raise some funds and get started trying to create something to help... and started the build and pivot game.

This is the creation story of Turbotic.

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Talk Python To Me - #520: pyx – the other side of the uv coin (announcing pyx)

A couple years ago, Charlie Marsh lit a fire under Python tooling with Ruff and then uv. Today he’s back with something on the other side of that coin: pyx.

Pyx isn’t a PyPI replacement. Think server, not just index. It mirrors PyPI, plays fine with pip or uv, and aims to make installs fast and predictable by letting a smart client talk to a smart server. When the client and server understand each other, you get new fast paths, fewer edge cases, and the kind of reliability teams beg for. If Python packaging has felt like friction, this conversation is traction. Let’s get into it.

Episode sponsors

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Charlie Marsh on Twitter: @charliermarsh
Charlie Marsh on Mastodon: @charliermarsh

Astral Homepage: astral.sh
Pyx Project: astral.sh
Introducing Pyx Blog Post: astral.sh
uv Package on GitHub: github.com
UV Star History Chart: star-history.com
Watch this episode on YouTube: youtube.com
Episode #520 deep-dive: talkpython.fm/520
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong

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The Stack Overflow Podcast - Democratizing your data access with AI agents

Jeff Hollan, director of product at Snowflake, joins Ryan to discuss the role that data plays in making AI and AI agents better. Along the way, they discuss how a database leads to an AI platform, Snowflake’s new data marketplace, and the role data will play in AI agents. 

Episode notes:

Snowflake provides a fully-managed data platform that developers can build AI apps on. 

We’re happy to have Stack Exchange data available on the Snowflake Marketplace.  

Connect with Jeff on LinkedIn and Twitter

Congrats to Timeless for throwing a Lifejacket to Using pandas to read HTML.

TRANSCRIPT

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Python Bytes - #450 At-Cost Agentic IDE Tooling

Topics covered in this episode:
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About the show

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Brian #1: pandas is getting pd.col expressions

  • Marco Gorelli
  • Next release of Pandas will have pd.col(), inspired by some of the other frameworks
    • I’m guessing Pandas 2.3.3? or 2.4.0? or 3.0.0? (depending on which version they bump?)
  • “The output of pd.col is called an expression. You can think of it as a delayed column - it only produces a result once it's evaluated inside a dataframe context.”
  • It replaces many contexts where lambda expressions were used

Michael #2: Cline, At-Cost Agentic IDE Tooling

  • Free and open-source
  • Probably supports your IDE (if your IDE isn’t a terminal)
    • VS Code
    • VS Code Insiders
    • Cursor
    • Windsurf
    • JetBrains IDEs (including PyCharm)
  • You pick plan or act (very important)
  • It shows you the price as the AI works, per request, right in the UI

Brian #3: uv cheatsheet

  • Rodgrigo at mathspp.com
  • Nice compact cheat sheet of commands for
    • Creating projects
    • Managing dependencies
    • Lifecycle stuff like build, publish, bumping version
    • uv tool (uvx) commands
    • working with scripts
    • Installing and updating Python versions
    • plus venv, pip, format, help and update

Michael #4: Ducky Network UI

  • Ducky is a powerful, open-source, all-in-one desktop application built with Python and PySide6.
  • It is designed to be the perfect companion for network engineers, students, and tech enthusiasts, combining several essential utilities into a single, intuitive graphical interface.
  • Features
    • Multi-Protocol Terminal: Connect via SSH, Telnet, and Serial (COM) in a modern, tabbed interface.
    • SNMP Topology Mapper: Automatically discover your network with a ping and SNMP sweep. See a graphical map of your devices, color-coded by type, and click to view detailed information.
    • Network Diagnostics: A full suite of tools including a Subnet Calculator, Network Monitor (Ping, Traceroute), and a multi-threaded Port Scanner.
    • Security Toolkit: Look up CVEs from the NIST database, check password strength, and calculate file hashes (MD5, SHA1, SHA256, SHA512).
    • Rich-Text Notepad: Keep notes and reminders in a dockable widget with formatting tools and auto-save.
    • Customizable UI: Switch between a sleek dark theme and a clean light theme. Customize terminal colors and fonts to your liking.

Extras

Brian:

  • Where are the cool kids hosting static sites these days?
    • Moving from Netlify to Cloudflare Pages - Will Vincent from Feb 2024
    • Traffic is a concern now for even low-ish traffic sites since so many bots are out there
    • Netlify free plan is less than 30 GB/mo allowed (grandfathered plans are 100 GB/mo)
    • GH Pages have a soft limit of 100 GB/mo
    • Cloudflare pages says unlimited

Michael:

  • PyCon Brazil needs some help with reduced funding from the PSF
    • Get a ticket to donate for a student to attend (at the button of the buy ticket checkout dialog)
  • I upgraded to macOS Tahoe
    • Loving it so far.
    • Only issue I’ve seen so far has been with alt-tab for macOS

Joke: Hiring in 2025 vs 2021

  • 2021:
    • “Do you have an in-house kombucha sommelier?”
    • “Let’s talk about pets, are you donkey-friendly?”, “Oh you think this is a joke?”
  • 2025:
    • “Round 8/7”
    • “Out of 12,000 resumes, the AI picked yours”
    • “Binary tree? Build me a foundational model!”
    • “Healthcare? What, you want to live forever?”

Lex Fridman Podcast - #481 – Norman Ohler: Hitler, Nazis, Drugs, WW2, Blitzkrieg, LSD, MKUltra & CIA

Norman Ohler is a historian and author of “Blitzed: Drugs in the Third Reich,” a book that investigates the role of psychoactive drugs, particularly stimulants such as methamphetamine, in the military history of World War II. It is a book that two legendary historians Ian Kershaw and Antony Beevor give very high praise for its depth of research. Norman also wrote “Tripped: Nazi Germany, the CIA, and the Dawn of the Psychedelic Age”, and he is working on a new book “Stoned Sapiens” looking at the history of human civilization through the lens of drugs.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep481-sc
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.

Transcript:
https://lexfridman.com/norman-ohler-transcript

CONTACT LEX:
Feedback – give feedback to Lex: https://lexfridman.com/survey
AMA – submit questions, videos or call-in: https://lexfridman.com/ama
Hiring – join our team: https://lexfridman.com/hiring
Other – other ways to get in touch: https://lexfridman.com/contact

EPISODE LINKS:
Stoned Sapiens Substack: https://substack.com/@stonedsapiens
Norman’s X: https://x.com/normanohler
Norman’s Instagram: https://www.instagram.com/normanohler
Norman’s YouTube: https://www.youtube.com/@Norman-Ohler
Norman’s Website: https://www.normanohler.de
Norman’s books: https://amzn.to/46uNS18
Blitzed: https://amzn.to/4mmY2XC
The Bohemians: https://amzn.to/3KubPhK
Tripped: https://amzn.to/4nEy7eX

SPONSORS:
To support this podcast, check out our sponsors & get discounts:
UPLIFT Desk: Standing desks and office ergonomics.
Go to https://upliftdesk.com/lex
Fin: AI agent for customer service.
Go to https://fin.ai/lex
Shopify: Sell stuff online.
Go to https://shopify.com/lex
LMNT: Zero-sugar electrolyte drink mix.
Go to https://drinkLMNT.com/lex
Hampton: Community for high-growth founders and CEOs.
Go to https://joinhampton.com/lex

OUTLINE:
(00:00) – Introduction
(01:09) – Sponsors, Comments, and Reflections
(09:00) – Drugs in post-WWI Germany
(19:18) – Nazi rise to power
(23:45) – Hitler’s drug use
(29:37) – Response to historian criticism
(46:16) – Pervitin
(1:00:15) – Blitzkrieg and meth
(1:18:52) – Erwin Rommel (Crystal Fox)
(1:23:02) – Dunkirk
(1:31:06) – Hitler’s drug addiction
(1:47:03) – Methamphetamine
(1:48:57) – Invasion of Soviet Union
(2:07:54) – Cocaine
(2:16:49) – Hitler’s last days
(2:36:48) – German resistance against Nazis
(2:58:59) – Totalitarianism
(3:04:09) – Stoned Sapiens – Drugs in human history
(3:19:20) – Religion
(3:30:09) – LSD, CIA, and MKUltra
(3:55:39) – Writing on drugs
(4:08:40) – Berlin night clubs
(4:19:14) – Greatest book ever written

Big Technology Podcast - How People Use ChatGPT, Meta’s New AI Glasses, Can Jimmy Kimmel Be Canceled?

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) OpenAI tells us how people use ChatGPT 2) Practical guidance is the top use of ChatGPT 3) Is generative AI actually a threat to search given the use cases? 4) OpenAI has a very broad definition of 'doing' or agent work 5) The hidden impact of AI 'decision support' in the economy 6) People trust AI bots massively - is that bad? 7) ChatGPT's massive growth 8) Anthropic shares Claude's economic uses 9) Automation is surpassing augmentation for AI in work 10) Will Meta's AI glasses hit? 11) Can Jimmy Kimmel build an audience off-ABC? 12) Will the next Jimmy Kimmel be a youtube/rpodcaster?

---

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Three Faces Of Generative AI: https://www.bigtechnology.com/p/the-three-faces-of-generative-ai

Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

African Tech Roundup - April Long of Pyxis: Why serving bulk traders beats saving SMEs in Africa-China trade

Episode overview: April Long spent two years fighting reality. The co-founder and CEO of "Afro-Asia Cross-border payment infrastructure" startup Pyxis was so determined to serve Africa's small merchants - the "bottom of the pyramid" she'd read about in Harvard Business Review - that she nearly bankrupted her fintech ignoring the bulk traders actually driving Africa-China trade. In conversation with Andile Masuku, Long delivers uncomfortable truths about impact theatre versus impact reality. Her journey from receiving President Xi Jinping in Tanzania at 23 to finally accepting who actually moves goods between Africa and China at 35 offers a masterclass in entrepreneurial humility. Key insights: -On impact delusions: "I used to defend, I was like, 'No, no, no, no, no. It's that you don't get to this market.'" Long admits she lived in a bubble, desperately wanting to believe SMEs were ready for direct China trade. The truth? "90% of African trade is still happening in a more traditional way" - through the aggregators she'd dismissed as insufficiently mission-driven. - On the cost of stubbornness: Despite zero demand after six months embedded in Nairobi's wholesale markets, Long refused to pivot. "I was quite stubborn. I was like, no, we have to work with SMEs." The result: burning 90% of her time on unprofitable small traders whilst the 10% spent on bulk traders kept her company alive. - On acceptance as strategy: "The future is not here yet. And we need to build the future by serving who is there currently." Long's breakthrough came from accepting that Chinese trading companies scaling from $0 to IPO in a decade were the real infrastructure of Africa-China trade - not the romantic vision of empowered individual merchants. - On being un-fundable forcing clarity: Without millions to burn on market education, Long had to face reality faster than her funded competitors. "I'm grateful I didn't have money to burn, or else I could have burned myself." Notable moments: 1. The marketplace wake-up call: Walking through Nairobi's famous Gikomba market as a Chinese woman, traders shouted "China, China, what are you selling?" They wanted products, not payment rails. Long built the wrong solution for the right market. 2. The Eric Simanis paradox: The same Harvard Business Review article that inspired her Africa move warned against oversimplifying "bottom of pyramid" markets. Long spent years learning what she'd initially misread. 3. The three Aprils: Long describes fragmenting into Chinese April, Western April, and African April - "these narratives are so vastly different" that keeping them separate became exhausting. Building Pyxis became about reconciling these selves. The aggregator revelation: Long's former Standard Chartered clients - the Chinese trading companies she'd tried to convince to take loans in 2015 - transformed from traders to manufacturers to near-IPO giants in under a decade. They were the real story of Africa-China trade, moving containers whilst she chased individual merchants moving parcels. "These Chinese trading companies making impacts in Africa, making products super affordable... because of the storytelling, they are not recognised." Her role shifted from trying to bypass them to helping them operate more efficiently. The present tense: Long's current focus on settlement infrastructure for bulk traders isn't the sexy SME empowerment story she'd imagined. But with a 12-person team across four countries and actual revenue, she's building what the market needs today whilst preparing for the SME future she still believes will come. Image credit: Pxyis

The Stack Overflow Podcast - Off with your CMS’s head! Composability and security in headless CMS

Ryan welcomes Sebastian Gierlinger, VP of Engineering at Storyblok, to talk about how headless content management systems (CMS) fit into an increasingly componentized software landscape. They run through the differences between headless and traditional CMS systems (and databases), prototyping and security concerns, and how a team building distributed systems can get that precious velocity by decoupling their content from its rendering. 

Episode notes:

Storyblok provides a headless CMS they say is made for humans but built for the AI-driven era. 

Want to learn more about CMS design? Check out other pieces we’ve done with CMS providers Drupal and Builder.io

Connect with Sebastian on LinkedIn or Twitter

Congrats to Populist badge winner Răzvan Flavius Panda for dropping an amazing answer on How do I change the maintenance database for Postgres?.



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

Talk Python To Me - #519: Data Science Cloud Lessons at Scale

Today on Talk Python: What really happens when your data work outgrows your laptop. Matthew Rocklin, creator of Dask and cofounder of Coiled, and Nat Tabris a staff software engineer at Coiled join me to unpack the messy truth of cloud-scale Python. During the episode we actually spin up a 1,000 core cluster from a notebook, twice! We also discuss picking between pandas and Polars, when GPUs help, and how to avoid surprise bills. Real lessons, real tradeoffs, shared by people who have built this stuff. Stick around.

Episode sponsors

Seer: AI Debugging, Code TALKPYTHON
Talk Python Courses

Matthew Rocklin: @mrocklin
Nat Tabris: tabris.us

Dask: dask.org
Coiled: coiled.io
Watch this episode on YouTube: youtube.com
Episode #519 deep-dive: talkpython.fm/519
Episode transcripts: talkpython.fm
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong

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