Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning.

 

Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning.
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Behind every innovation is a new kind of power. TechStuff unpacks how technology reshapes influence, creativity, and control, from Silicon Valley’s rising moguls to the cultural forces they create. Because tech is the new religion, economy, and entertainment, all at once.

Each week, Oz Woloshyn and the brightest minds covering tech dig into the weird, funny, and sometimes unsettling ways technology, AI, and the internet shape our daily lives. From AI and social media to privacy, digital burnout, and the creator economy, they ask how all this innovation is changing who we are, how we work, love, and make meaning.

Smart talk, strange stories, and the questions everyone’s Googling: whether AI will replace us, how social media is affecting our kids, and what it all says about us.

Get in touch here: techstuffpodcast@gmail.com

Behind every innovation is a new kind of power. TechStuff unpacks how technology reshapes influence, creativity, and control, from Silicon Valley&rsquo;s rising moguls to the cultural forces they create. Because tech is the new religion, economy, and entertainment, all at once.
Each week, Oz Woloshyn and the brightest minds covering tech dig into the weird, funny, and sometimes unsettling ways technology, AI, and the internet shape our daily lives. From AI and social media to privacy, digital burnout, and the creator economy, they ask how all this innovation is changing who we are, how we work, love, and make meaning.
Smart talk, strange stories, and the questions everyone&rsquo;s Googling: whether AI will replace us, how social media is affecting our kids, and what it all says about us.
Get in touch here:&nbsp;<a href="mailto:techstuffpodcast@gmail.com" data-stringify-link="mailto:techstuffpodcast@gmail.com" data-sk="tooltip_parent" aria-haspopup="menu">techstuffpodcast@gmail.com</a>

TechStuff

Behind every innovation is a new kind of power. TechStuff unpacks how technology reshapes influence, creativity, and control, from Silicon Valley’s rising moguls to the cultural forces they create. Because tech is the new religion, economy, and entertainment, all at once.

Each week, Oz Woloshyn and the brightest minds covering tech dig into the weird, funny, and sometimes unsettling ways technology, AI, and the internet shape our daily lives. From AI and social media to privacy, digital burnout, and the creator economy, they ask how all this innovation is changing who we are, how we work, love, and make meaning.

Smart talk, strange stories, and the questions everyone’s Googling: whether AI will replace us, how social media is affecting our kids, and what it all says about us.

Behind every innovation is a new kind of power. TechStuff unpacks how technology reshapes influence, creativity, and control, from Silicon Valley&rsquo;s rising moguls to the cultural forces they create. Because tech is the new religion, economy, and entertainment, all at once.
Each week, Oz Woloshyn and the brightest minds covering tech dig into the weird, funny, and sometimes unsettling ways technology, AI, and the internet shape our daily lives. From AI and social media to privacy, digital burnout, and the creator economy, they ask how all this innovation is changing who we are, how we work, love, and make meaning.
Smart talk, strange stories, and the questions everyone&rsquo;s Googling: whether AI will replace us, how social media is affecting our kids, and what it all says about us.

Rerun: Machine Learning 101

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/ed9b1279-31f0-4698-aca1-aea90179232d/transcript

Will Adobe survive the decompiling revolution? Reed Albergotti (Semafor and Future Proof), Kyle Chayka (Infinite Scroll, New Yorker), and Taylor Lorenz (User Mag) pull up to the roundtable, uncertain of how soon we’ll really see nuclear reactors on the moon—but sure that there’s plenty of space junk in our future, whatever powers our space stations. Then, Taylor brings us a story of the value of sticking with human-led data when you go offline...and takes a stand for human responsibility in the agentic AI era. Finally, Kyle brings us news that decompiling breakthroughs might mean software subscriptions will become a thing of the past…that is, if big tech doesn’t bring down a regulatory hammer.

Will Adobe survive the decompiling revolution? Reed Albergotti (Semafor and Future Proof), Kyle Chayka (Infinite Scroll, New Yorker), and Taylor Lorenz (User Mag) pull up to the roundtable, uncertain of how soon we&rsquo;ll really see nuclear reactors on the moon&mdash;but sure that there&rsquo;s plenty of space junk in our future, whatever powers our space stations. Then, Taylor brings us a story of the value of sticking with human-led data when you go offline...and takes a stand for human responsibility in the agentic AI era. Finally, Kyle brings us news that decompiling breakthroughs might mean software subscriptions will become&nbsp;a thing of the past&hellip;that is, if big tech doesn&rsquo;t bring down a regulatory hammer.

Nuclear Space Junk Cleaners, Inc. - Week in Tech

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/1b8d6c48-273b-417c-9974-b4de0044042a/transcript

Why are the people most afraid of artificial superintelligence racing to build it? After interviewing more than 150 AI insiders, former New York Times tech columnist and podcast host Kevin Roose found a race fueled by fear, bitter rivalries, and one recurring belief: if we don’t build it first, someone else will.

Kevin joins Oz to discuss his new book, The AGI Chronicles:The Inside Story of the Race to Create an Artificial Superintelligence. They explore the personal feuds shaping the technology, why everyone should pay attention, and how those outside Silicon Valley could shape the future.

Why are the people most afraid of artificial superintelligence racing to build it? After interviewing more than 150 AI insiders, former New York Times tech columnist and podcast host Kevin Roose found a race fueled by fear, bitter rivalries, and one recurring belief: if we don&rsquo;t build it first, someone else will.
Kevin joins Oz to discuss his new book, The AGI Chronicles:The Inside Story of the Race to Create an Artificial Superintelligence. They explore the personal feuds shaping the technology, why everyone should pay attention, and how those outside Silicon Valley could shape the future.

‘The AI Labs Are Trying to Give Away Control’ w/ Kevin Roose - The Story

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/54afdc97-bb9e-43e5-8484-b4d4015dd53f/transcript

Will frontier AI labs really police themselves, or will the FTC pull rank? Reed Albergotti (Semafor), Margaux MacColl (Vanity Fair) and Nitasha Tiku (The Washington Post) dive into tech’s big week in Washington to tell us what to expect from evaluators, who the evaluators are, and which tech leaders came out on top at the boys’ lunch at the White House. Then, our nightlife correspondent reports back on the pro-data groups trying to party the woke out. Finally, remember Yahoo? Marissa Mayer is back (again!) with a new app that leverages your camera roll… but does anyone want it?

Will frontier AI labs really police themselves, or will the FTC pull rank? Reed Albergotti (Semafor), Margaux MacColl (Vanity Fair) and Nitasha Tiku (The Washington Post) dive into tech&rsquo;s big week in Washington to tell us what to expect from evaluators, who the evaluators are, and which tech leaders came out on top at the boys&rsquo; lunch at the White House. Then, our nightlife correspondent reports back on the pro-data groups trying to party the woke out. Finally, remember Yahoo? Marissa Mayer is back (again!) with a new app that leverages your camera roll&hellip; but does anyone want it?

These Party People Want You to Love Your Data Center - Week in Tech

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/3d14e5c7-3506-4f5f-97f1-b4d700568535/transcript

Rerun: Machine Learning 101

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