
Cutting through AI bullsh*t.Come join the discussion on Discord! discord.gg/4UNKGf3
| Publishes | Twice monthly | Episodes | 304 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Tech NewsNewsTechnology | |||

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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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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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 thei... more
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 ex... more
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Most tech podcasts assume AI is worth it. Francesco doesn’t. In his conversation with Eliseo Ferrante, they address whether the investment actually makes sense. The discussion is technical, skeptical, and refreshingly honest.
I was hopeful because I seek out opinions that counter the hype, but all I heard were contrarian takes for the sake of being different.
The recent show about databases and their impact on AI felt like unraveling a mystery. I got a full picture of the tech and the challenges in the field. Though not exhaustive, still a very good start. Will explore more!
In the recent episode, the insights into prompt engineering were akin to unlocking a secret chamber in the world of AI. Mr Francesco seamlessly blended education and discovery, giving listeners a key to understanding the complexity of language models.
Finally, a podcast that strikes the perfect balance! Easy not easy. Content always up to date and sexy. thumbs uppp!
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Apple Podcasts | #213 |
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This podcast offers listeners an insightful exploration of artificial intelligence, data science, and the technology landscape by presenting a critical perspective on industry trends and innovations. Episodes feature in-depth discussions about the capabilities and limitations of AI, the intricacies of machine learning, and the evolving role of technology within various sectors. The host often engages with experts to dissect complex topics, making difficult concepts accessible to tech enthusiasts while fostering a community around the subject matter. Listeners can expect to gain not only knowledge but also a nuanced understanding of current debates in the field, from venture capital trends to practical applications of AI.
Rephonic provides a wide range of podcast stats for Data Science at Home. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Data Science at Home and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
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Rephonic provides comprehensive predictive audience data for Data Science at Home, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
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These podcasts share a similar audience with Data Science at Home:
1. Practical AI
2. The AI Daily Brief: Artificial Intelligence News and Analysis
3. The a16z Show
4. Hard Fork
5. All-In with Chamath, Jason, Sacks & Friedberg
Data Science at Home launched 10 years ago and published 304 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Data Science at Home from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
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Recent guests on Data Science at Home include:
1. Dr. Eliseo Ferrante
2. Mark Brocato
3. Matt Lea
4. Fred Jordan
5. Sanjoy Chowdhury
6. Jonas Singer
7. Kenny Vaneetvelde
8. Charles Martin
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