Data Science at Home

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Europe, wake up! You Can't Be a Superpower on Someone Else's Servers (Ep. 304) Apr 21, 2026

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Rebuilding a defense industrial base takes 20 years and costs trillions. Tech sovereignty takes 3 years and political will. Europe is doing the hard thing and refusing the easy one. Here's why — and who's profiting from that refusal.

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About Apple's Privacy (Ep. 302) Apr 02, 2026

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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.

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Productivity is the new data breach (Ep. 301) Mar 31, 2026

Show notes

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:

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Programmable Money: The Cage They'll Call Convenience (Ep. 300) Mar 06, 2026

Show notes

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.

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There Is No AI. There's a Stateless Function on 10,000 GPUs Pretending to Know You (Ep. 299) Mar 03, 2026

Show notes

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.

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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: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

Your Favorite AI Startup is Probably Bullshit (Ep. 298) [RB] Jan 30, 2026

Show notes

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

Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 297) [RB] Jan 28, 2026

Show notes

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.

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References

https://samim.io/p/2025-01-18-vortextnet/

AGI: The Dream We Should Never Reach (Ep. 296) Jan 10, 2026

Show notes

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.

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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

When Data Stops Being Code and Starts Being Conversation (Ep. 297) Dec 22, 2025

Show notes

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.

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