Technology, AI, machine learning and algorithms. Come join the discussion on Discord! discord.gg/4UNKGf3
Publishes | Twice monthly | Episodes | 293 | Founded | 10 years ago |
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Number of Listeners | Categories | Tech NewsTechnologyNews |
This episode exposes the uncomfortable truth: most defense tech startups are just software engineers cosplaying as military innovators, creating fragmented solutions that Pentagon doesn't need. Not now, at least.
References
War On The Rocks: https:... more
A nostalgic dive into the rise and fall of true hacker culture - from MIT's curious tinkerers to today's hustle-obsessed "founders." Plus, why IRC was peak internet and what we lost when convenience killed community. For anyone who misses when coding... more
We were promised robot butlers and got Roombas that cry under the couch. In this brutally honest (and slightly hilarious) episode, Francesco dives into why the robot revolution fizzled, why your dishwasher still needs you, and how robotics became mor... more
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
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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!
As someone who appreciates quality, this show has exceeded my expectations. Highly recommend for a thoroughly enjoyable and enriching listen!
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
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Apple Podcasts | #243 |
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The content focuses on the rapidly evolving fields of technology, artificial intelligence, machine learning, and algorithms. Discussions often critique industry trends, such as the commercialization of technology and its effects on hacker culture and the integrity of AI development. With a blend of technical insights and accessible conversation, episodes examine pressing issues like the implications of AI in warfare, robotics, and the job market, particularly concerning programmers. The unique approach combines expert interviews with a clear analysis of complex topics, making it appealing for both professionals in the field and those intrigued by the advancements in technology. Overall, it serves as a rich resource for listeners keen on und... more
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These podcasts share a similar audience with Data Science at Home:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Data Skeptic
3. Practical AI
4. NVIDIA AI Podcast
5. Data Engineering Podcast
Data Science at Home launched 10 years ago and published 293 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Data Science at Home include:
1. Jonas Singer
2. Kenny Vaneetvelde
3. Charles Martin
4. Josh Miramant
5. Souradip Chakraborty
6. Amrit Singh Bedi
7. Chris Skinner
8. Mike Jäger
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