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Data Science at Home

Data Science at Home

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

Copyright 2026 datascienceathome.com All rights reserved.
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    Épisodes
    • Your Favorite AI Startup is Probably Bullshit (Ep. 298) [RB]
      Jan 30 2026

      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

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

      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/

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

      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

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      46 min
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