Podcast Index
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Vanishing Gradients
Hugo Bowne-Anderson
Black Box - La scatola nera della finanza
Guido Brera e Gian Luca Comandini - Chora Media
Ground Floor Government
PhoneLive.io
LessWrong (30+ Karma)
LessWrong
Production Expert Podcast
Production Expert
ABA Banking Journal Podcast
American Bankers Association
Access On
National Federation of the Blind
The Tech Report
Times Radio
POD256 | Bitcoin Mining, Freedom Tech, and Awesome Tangents
POD256
mintCast
mintCast
AI Unraveled: Latest AI News, ChatGPT, Gemini, Claude, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias
Etienne Noumen
The AI Daily Brief: Artificial Intelligence News and Analysis
Nathaniel Whittemore
The Virtual CISO Podcast
John Verry
Cyber Voices
Australian Information Security Association (AISA)
The Vergecast
The Verge
Solo Founders
Solo Founders
Artificial Intelligence Masterclass
AI Masterclass
Tina Huang
Tina Huang
Sujétame el micro
Emilio Cano
The Good Tech Companies
HackerNoon
PING
APNIC
We Are Selling with Lee Woodward
Lee Woodward
Better Offline
Cool Zone Media and iHeartPodcasts
Value Driven Data Science
Dr Genevieve Hayes
Krypto Podcast – Bitcoin, KI & Krypto News und CBDC, RWA, Tokenisierung & Stablecoin Analyse für den DACH Markt
Blue Alpine GmbH
Kim Komando Daily Tech Update
Kim Komando
TechCrunch Daily Crunch
TechCrunch
Syntax - Tasty Web Development Treats
Wes Bos & Scott Tolinski - Full Stack JavaScript Web Developers
The Product Podcast
Product School
The Gadget Show Podcast
The Gadget Show
Podnews Daily - podcast industry news
Podnews LLC
Payments Brief: FinTech, Banking & Payments News
Payments Brief Team
Wendover Productions
Wendover Productions
Nine Finger Chronicles - Deer Hunting Podcast
Dan Johnson, Sportsmen's Empire
Product Talk
Products That Count
Rodrigo Arnedo Noticias BTC
Rodrigo Arnedo Noticias BTC
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
I Hear Everything
Tecnología
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...
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