Why Is This Happening? The Chris Hayes Podcast

Well, we just wrapped our special 8-part miniseries “The AI End Game,” and we’re back to regular new episodes of WITHpod. There’s a lot to discuss since the start of the miniseries a few weeks ago. Alex Wagner is an MS NOW senior political analyst and the host of “Runaway Country” on Crooked. She’s also the author “How the Hell with Alex Wagner” on Substack. She joins WITHpod to discuss the real pain everyday Americans are feeling, why she believes the script for an impending Trump political defeat is already written and more. 

 

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Scientists, philosophers, and artists all agree: consciousness is a unique feeling. And at the same time, one of the world’s most confounding and complex questions remains: what exactly is this feeling? Is it awareness? Is it thoughts? Feelings? Michael Pollan joins WITHpod to share what he’s learned about the force that animates all of us.

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There’s a lot to unpack about the economic effects of artificial intelligence. It’s clear that artificial intelligence is having a moment (to say the least) and that it has a profound impact on global GDP. But is it just a boom that will bust? Ed Zitron, author and host of the “Better Offline” podcast, is deeply worried about the long-term viability of the industry. He points out that AI lacks the basic traits that have been associated with previous software booms. This raises the question: is AI running more on unsustainable costs and vibes rather than long-term profit potential? According to Ed, the answer is clear. 

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David Chalmers, one of the most preeminent philosophers and researchers in cognitive science, argues that nothing prevents machines from becoming truly conscious. Chalmers, who has studied the mind for decades, points out that there is a real possibility of AI creating a next stage of intelligence that is even capable of redesigning itself. He joins WITHpod to discuss what consciousness is and the possibility of AI systems becoming fully conscious.

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Timnit Gebru founded the Distributed AI Research Institute after her high-profile exit from Google’s Ethical AI team. She’s been a vocal critic of the systemic lack of diversity in learning models and the need for more inclusion in the space. Her view is that because AI so heavily relies on human input, it largely mirrors pervasive biases inherent in society. What needs to be done to change that? She joins WITHpod to discuss what, in her view, large language models are missing.

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