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Contenuto fornito da Tech Hygiene, John Biggs, and Loren Feldman. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tech Hygiene, John Biggs, and Loren Feldman o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
1:14:43
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Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…
Tech Hygiene
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Contenuto fornito da Tech Hygiene, John Biggs, and Loren Feldman. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tech Hygiene, John Biggs, and Loren Feldman o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
A podcast about staying clean (and sane) in a crazy digital world. Hosted by Loren Feldman and John Biggs.
…
continue reading
246 episodi
Segna tutti come (non) riprodotti ...
Manage series 1710170
Contenuto fornito da Tech Hygiene, John Biggs, and Loren Feldman. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tech Hygiene, John Biggs, and Loren Feldman o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
A podcast about staying clean (and sane) in a crazy digital world. Hosted by Loren Feldman and John Biggs.
…
continue reading
246 episodi
Tutti gli episodi
×In this episode, we talk with a real-life lithium miner who tells us the inside story of how technology needs to get dirty to keep running.
In this episode, Loren and John discuss the meaning of art, talent, and the future of collecting. It's actually pretty thrilling.
You owe us $2 million. Sorry.
Jeff Bezos can now focus on other things, like his hot Mr. Clean body.
In this episode we talk about Loren's millions and John's ridiculous 3D printing hobby.
In this episode we talk about a16z building a news site, the world of Reddit Wall Street, and Apple TV+++.
In this episode, we talk about the death of physical events and how Parler spit up millions of megabytes of data.
This episode we talk about Parler, Twitter, and how nice it will be to never talk about those things again.
In this episode we talk about lizard people, Biden, and the Digital Service.
Sorry, but it is. Join us for our last episode of the year.
In this episode, we interview a startup founder and investor and talk to an AI.
Not really, though, because his choice makes perfect sense.
In this episode, we talk about slack, Microsoft, and bitcoin, mostly in that order.
In this Thanksgiving episode we talk about the problem of Substack and how we're both to old to understand fame. WARNING: The audio on this one is pretty rough, unfortunately. Sorry about that.
In this episode we talk about Elon's spaceflights, the new Apple Silicon, and what we still hate (hint: it's TikTok).
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