Podcast Index
Browse podcasts by category, open recent episodes, and download audio to listen offline.
Vanishing Gradients
Hugo Bowne-Anderson
Game Mess Mornings
Giant Bomb
Future Money
Interledger Foundation
TechCheck
CNBC
Secure AF - A Cybersecurity Podcast
Alias Cybersecurity
The IT Guy Show
Eric Hendricks
Women talkin' 'bout AI
Kimberly Becker & Jessica Parker
Hacker Proof HQ
Hacker Proof HQ
America’s Frontlines
Tom Sheffield
Big Technology Podcast
Alex Kantrowitz
The Josh Bersin Company
Josh Bersin
Daily Cyber Threat Brief
Simply Cyber Media Group
The DISRUPTED SCIENCE Podcast
Caldera Information Solutions LLC
Starter Story
Starter Story
Disintegrator
Roberto Alonso Trillo, Marek Poliks, and Helena McFadzean
Talking HealthTech
Talking HealthTech
From the Crows' Nest
Association of Old Crows
The AllinCrypto Podcast
AllinCrypto
Ground Floor Government
PhoneLive.io
Production Expert Podcast
Production Expert
Access On
National Federation of the Blind
The Tech Report
Times Radio
POD256 | Bitcoin Mining, Freedom Tech, and Awesome Tangents
POD256
AI Unraveled: Latest AI News, ChatGPT, Gemini, Claude, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias
Etienne Noumen
The Virtual CISO Podcast
John Verry
Cyber Voices
Australian Information Security Association (AISA)
The Vergecast
The Verge
Solo Founders
Solo Founders
Sujétame el micro
Emilio Cano
The Good Tech Companies
HackerNoon
The a16z Show
Andreessen Horowitz
The Ruby on Rails Podcast
David Hill
9to5Mac Daily
9to5Mac
The Audacity to Podcast® - tips and how to start and grow profit in podcasting
Daniel J. Lewis
The Data & AI Chief
ThoughtSpot
The Space Policy Show
The Aerospace Corporation
AI For Humans: Weekly AI News, Tools & Trends
Kevin Pereira & Gavin Purcell
Technology
Hugo Bowne-Anderson
Nicolay Gerold works all day and night on AMP, one of the most interesting coding-agent harnesses out there.If you’re building with coding agents, this conversation will help you understand: * when to trust the model, * ...
So I think we’re really at a historical moment, and the opportunity is massive. Almost 15 years ago, we were promised that data science was going to be this incredible thing and create all this value for people. And I th...
One thing that I don’t like about Claude is that you get into this weird mental state: oh, I think I trust the model. Let’s do the slot machine. Hit click, which puts you in an inactive mode of thinking. Maybe it’s bett...
> I almost don’t read code now. My approach with Roborev is it’s like my code reader. The mantra is: Roborev reads every line of code that is generated. It gets read multiple times. And so, whenever I push up a pull req...
There are a lot of reasons why we should do AI evals. For many companies doing AI evals is the way to build the feedback loop into the product development lifecycle. So it is like your compass. We’re using AI evals as a ...
Katharine Jarmul, Privacy in ML/AI Expert & Author of Practical Data Privacy, joins Hugo to unpack why most AI privacy advice is theater: and what technical privacy actually looks like when you’re shipping LLMs, agents,...
If you take a model release as an anchor point, let’s say Nemotron 3 or Qwen 3.5, you can go in both directions: You can either plug them into an agent and play around with that, or you can look, okay, what does the mode...
I often see what I would consider to be b******t evals, especially in data, like write this dumb SQL. Almost every one of these dumb SQL questions that I’ve seen for benchmarks are just so either obviously easy or overwh...
Our thesis is that AI is still just engineering… those people who tell us for fun and profit, that somehow AI is so, so profound, so new, so different from anything that’s gone before that it somehow eclipses the need fo...
There’s a company who spent almost $50,000 because an agent went into an infinite loop and they forgot about it for a month.It had no failures and I guess no one was monitoring these costs. It’s nice that people do write...
> It’s the agent writing the code. And it’s the development loop of writing the code, building testing, write the code, build test and iterating. And so I do think we’ll see for many types of software, a shift away from ...
The best way to build a horrible search product? Don’t ever measure anything against what a user wants.Search veterans Doug Turnbull (Led Search at Reddit + Shopify; Wrote Relevant Search + AI Powered Search) and John Be...
This is continual learning, right? Everyone has been talking about continual learning as the next challenge in AI. Actually, it’s solved. Just tell it to keep some notes somewhere. Sure, it’s not, it’s not machine learn...
Surprise. We don’t have agents. I actually went in and did an audit of all the LLM applications that we’ve developed internally. And if you were to take Anthropic’s definition of workflow versus agent, we don’t have agen...
We’re really moving from a world where humans are authoring search queries and humans are executing those queries and humans are digesting the results to a world where AI is doing that for us.Jeff Huber, CEO and co-found...
We have been sold a story of complexity. Michael Kennedy (Talk Python) argues we can escape this by relentlessly focusing on the problem at hand, reducing costs by orders of magnitude in software, data, and AI.In this ep...
Gemini 3 is a few days old and the massive leap in performance and model reasoning has big implications for builders: as models begin to self-heal, builders are literally tearing out the functionality they built just mon...
Many leaders are trapped between chasing ambitious, ill-defined AI projects and the paralysis of not knowing where to start. Dr. Randall Olson argues that the real opportunity isn't in moonshots, but in the "trillions of...
Most AI teams find their multi-agent systems devolving into chaos, but ML Engineer Alex Strick van Linschoten argues they are ignoring the production reality. In this episode, he draws on insights from the LLM Ops Databa...
Most AI teams find "evals" frustrating, but ML Engineer Hamel Husain argues they’re just using the wrong playbook. In this episode, he lays out a data-centric approach to systematically measure and improve AI, turning un...
Fill in the form below. Make sure to select both Country and Genres.
Send us a message below. We will get back to you within 24 hours.