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Data Science at Home

Data Science at Home

Francesco Gadaleta

318 episodesENExplicit

Show overview

Data Science at Home has been publishing since 2015, and across the 11 years since has built a catalogue of 318 episodes. That works out to roughly 150 hours of audio in total. Releases follow a fortnightly cadence.

Episodes typically run twenty to thirty-five minutes — most land between 20 min and 34 min — though episode length varies meaningfully from one episode to the next. Roughly 35% of episodes carry an explicit flag from the publisher. It is catalogued as a EN-language Technology show.

The show is actively publishing — the most recent episode landed 4 days ago, with 19 episodes already out so far this year. The busiest year was 2021, with 47 episodes published. Published by Francesco Gadaleta.

Episodes
318
Running
2015–2026 · 11y
Median length
25 min
Cadence
Fortnightly

From the publisher

Cutting through AI bullsh*t.Come join the discussion on Discord! https://discord.gg/4UNKGf3

Latest Episodes

View all 318 episodes

One researcher published the 'System 1 AI' idea in 2025; a frontier lab shipped it as new in 2026 (Ep. 314)

Oct 5, 202641 min

AI slowdown: why Altman, Amodei & Musk suddenly agree (Ep. 313)

Sep 28, 202617 min

AI is punishing game developers (Ep. 312)

Jul 20, 202618 min

EU AI Act. What is this thing? (Part 2) (Ep. 311)

Jul 17, 202613 min

EU AI Act. What is this thing? (Part 1) (Ep. 310)

Jul 14, 202618 min

AI is the Concorde of our time (Ep. 309)

Jun 23, 202618 min

The propaganda algorithm (Ep. 308)

May 30, 202615 min

AI tips & tricks (Ep. 307)

May 19, 202654 min

AI and videogames: Conversational NPCs (Ep. 306)

May 7, 202652 min

AI and videogames (Ep. 305)

May 5, 202649 min

Europe, wake up! You Can't Be a Superpower on Someone Else's Servers (Ep. 304)

Apr 21, 202628 min

Social media is an ant mill (Internet is a disaster) (Ep. 303)

Apr 7, 202633 min

Ep 305About Apple's Privacy (Ep. 302)

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Paragon's spyware hacked fully updated iPhones without a single click. Apple just spent $2B on tech that reads your silent speech. And your iCloud? Governments can request it with paperwork. This is what the privacy brand actually buys you. Buy me a coffee https://ko-fi.com/datascience ✨ Connect with us! Personal newsletter: https://defragzone.substack.com 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: [email protected] Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

Apr 2, 202645 min

Ep 304Productivity is the new data breach (Ep. 301)

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Your employees aren't being hacked. They're doing it themselves, one ChatGPT prompt at a time. What is it? And how to fix the biggest corporate espionage of all times. Buy me a coffee https://ko-fi.com/datascience ✨ Connect with us! Personal newsletter: https://defragzone.substack.com 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: [email protected] Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

Mar 31, 202632 min

Ep 303Programmable Money: The Cage They'll Call Convenience (Ep. 300)

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Money has always been yours to spend freely. That's about to change. This episode breaks down programmable money, the technology that turns your wallet into a permission system. ✨ Connect with us! Personal newsletter: https://defragzone.substack.com 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: [email protected] Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

Mar 6, 202624 min

Ep 302There Is No AI. There's a Stateless Function on 10,000 GPUs Pretending to Know You (Ep. 299)

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Right now, millions of people are simultaneously chatting with a system that remembers nothing, knows nothing, and resets after every message. The engineering keeping that illusion alive is actually the impressive part. ✨ Connect with us! Personal newsletter: https://defragzone.substack.com 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: [email protected] Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

Mar 3, 202639 min

Ep 301Your Favorite AI Startup is Probably Bullshit (Ep. 298) [RB]

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The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone. We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockchain déjà vu to the "ChatGPT wrapper" economy—this episode will make you question every AI valuation you've ever seen. Fair warning: We're naming names and calling out the hype. Don't listen if you work at a "revolutionary AI startup" that's just OpenAI's API with a pretty interface. #AIBubble #VentureCapital #TechReality #StartupBullshit

Jan 30, 202612 min

Ep 300Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 297) [RB]

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VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. Today we explain how vortex shedding, the Strouhal number, and turbulent flows might change everything in AI. Sponsors This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible. Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons. Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com References https://samim.io/p/2025-01-18-vortextnet/

Jan 28, 202633 min

Ep 298AGI: The Dream We Should Never Reach (Ep. 296)

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Also on YouTube Two AI experts who actually love the technology explain why chasing AGI might be the worst thing for AI's future—and why the current hype cycle could kill the field we're trying to save. Want to dive deeper? Head to datascienceathome.com for detailed show notes, code examples, and exclusive deep-dives into the papers we discuss. Subscribe to our newsletter for weekly breakdowns of cutting-edge research delivered straight to your inbox—no fluff, just science! 📧 Join the conversation! Our Discord community is full of ML engineers, researchers, and AI enthusiasts discussing papers, sharing projects, and helping each other level up. Whether you're debugging your first neural net or training your tenth transformer, there's a place for you. Link in the show notes! 💬 Newsletter https://datascienceathome.substack.com/subscribe Website https://datascienceathome.com References CEO is obsolete AI is the new blockchain Dr Eliseo Ferrante NYU https://nyuad.nyu.edu/en/academics/divisions/science/faculty/eliseo-ferrante.html

Jan 10, 202645 min

Ep 299When Data Stops Being Code and Starts Being Conversation (Ep. 297)

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Mark Brocato built Mockaroo—the tool that taught millions of developers how to fake data. Now, as Head of Engineering at Tonic.ai, he's building the AI agent that's making his own creation obsolete. In this episode, we explore why static test data can't survive the AI era, what it means to "negotiate" datasets with an agent instead of scripting them, and whether we're heading toward a future where sandbox environments vanish entirely. From the hidden failures of legacy mocks to the security implications of agent-driven synthesis, Mark reveals what happens when data generation becomes a conversation—not a pipeline. Sponsors Tonic.ai Synthetic data solutions for software and AI development. Accelerate engineering velocity and ensure compliance with AI-powered data synthesis This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible. Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons. Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com

Dec 22, 202533 min
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