Podcast Index
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Vanishing Gradients
Hugo Bowne-Anderson
Digging In The Dirt with Kevin Gallagher
Kevin Gallagher
Mándarax: ciencia en tu vida diaria
Sonoro | Leos y Alita
The Voice of the Duck Hunter – A Delta Waterfowl Podcast
Delta Waterfowl Foundation
Flooba
A Sensory Sound Space for Neurodivergent Minds
HAUNTED: The Audio Drama
Impala Films
Beyond the Void: Philosophy & Psychology for the Modern Mind
btv
A Cut Above: Horror Review
A Cut Above: Horror Review
Making Sense with Sam Harris
Sam Harris
Arkansas Row Crops Radio
University of Arkansas System Division of Agriculture
AI Talks with Bone & Joint
AI Talks with Bone & Joint
Off Leash And Unfiltered
Kati
Cuentos y Leyendas de Honduras
Cuentos y Leyendas de Honduras
Strange and Unexplained
Cristina Gomez
Heartwood Forest Protection Podcast
members of Heartwood and the forest protection movement
The Coastal Call Podcast
Fairfield University
Mind & Matter
Nick Jikomes
Tommy Cullum's Let's Get Freaky
Tommy Cullum
Creepypasta zum Einschlafen
Dr. Zargota
The Best You - A Coaching Podcast: Personal Growth Through Real Conversations
Gary Gillan
Rebel Economics with Professor Steve Keen
Professor Steve Keen
Dark Mysteries — Unsolved Mysteries. Forgotten Secrets. Unanswered Questions.
Darkest Mysteries Online
Last Resort
Voyage Media
The Best of Coast to Coast AM
iHeartPodcasts and Coast to Coast AM
Farm Food Facts
USFRA
Eye On The Sky
Vermont Public
THIS IS REVOLUTION ＞podcast
bitterlake
True Crime Psychology and Personality: Narcissism, Psychopathy, and the Minds of Dangerous Criminals
Evergreen Podcasts & Dr. Todd Grande
The a16z Show
Andreessen Horowitz
Growing Greener
Tom Christopher
Live Like a Girl with Dr. Mindy Pelz
Dr. Mindy Pelz
Stuff To Blow Your Mind
iHeartPodcasts
VoxTalks Economics
VoxTalks
Science Friday
Science Friday and WNYC Studios
Die Großen Fragen in 10 Minuten
Mitteldeutscher Rundfunk
Answers with Ken Ham
Ken Ham and Mark Looy
The Curious Task
Institute for Liberal Studies
Science
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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