Matthew Stewart's Interviews
127. Matthew Stewart - The emerging world of ML sensors
Today, we live in the era of AI scaling. It seems like everywhere you look people are pushing to make large language models larger, or more multi-modal and leveraging ungodly amounts of processing power to do it. But although that’s one of the defining trends of the modern AI era, it’s not the only one. At the far oppo
Matthew Stewart: Why the 9.9% Is Running Our World and How the 91.1% Need to Fight Back Against This Aristocracy
Hosted by Andrew Keen, Keen On features conversations with some of the world’s leading thinkers and writers about the economic, political, and technological issues being discussed in the news, right now. In this episode, Andrew is joined by Matthew Stewart, author of The 9.9 Percent: The New Aristocracy That Is Entrenc
Are you in the 9.9 percent? (with Matthew Stewart)
In the U.S., inequality is often framed as the 99% versus the wealthiest 1%. But that’s not quite the right matchup. While the bottom 90% has done dramatically worse over the last several decades and the top 0.1% has done dramatically better, the 9.9% in between those groups still controls more than half of the wealth
2735 - The New American Aristocracy w/ Matthew Stewart
Emma hosts philosopher and historian Matthew Stewart to discuss his recent book The 9.9 Percent: The New Aristocracy That Is Entrenching Inequality And Warping Our Culture, on the class of people that cement the divide between the top .1%, and the bottom 90%. They begin by addressing what this segment is, exploring the
Matthew Stewart, “The Epicurean Republic” (Open Agenda, 2021)
The Epicurean Republic is based on an in-depth filmed conversation between Howard Burton and award-winning author and independent scholar Matthew Stewart. In his later years, Thomas Jefferson referred to “the revolutionary part of the [American] Revolution”, which for him meant the founding ideals that would serve as a
59. Matthew Stewart - Tiny ML and the future of on-device AI
When it comes to machine learning, we’re often led to believe that bigger is better. It’s now pretty clear that all else being equal, more data, more compute, and larger models add up to give more performance and more generalization power. And cutting edge language models have been growing at an alarming rate — by up t
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