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    Beyond the ‘Matrix’ Theory of the Mind

    enJune 04, 2023

    Podcast Summary

    • The Internet: A tool with transformative power and risksThe Internet, while offering tremendous opportunities for growth and productivity, also poses risks of distraction, cognitive fracture, and division.

      The Internet, a tool for rapid communication, collaboration, and knowledge access, has the potential to significantly transform humanity, but it also poses risks of distraction, cognitive fracture, and division. If presented as a wondrous tool in 1970, we might have predicted rapid economic growth and increased productivity. However, if presented as a sinister tool, we might have foreseen attention spans degrading, weaker concentration and contemplation skills, and a constant barrage of distractions. Understanding the Internet in these terms helps solve an economic mystery: its transformative power and potential risks.

    • The Digital Age's Impact on Productivity GrowthDespite the Internet's promise to increase productivity, constant distractions and decreased focus have led to a decrease in the average time spent on a single task, resulting in a detrimental effect on human cognition and overall productivity.

      The productivity growth rate has significantly slowed down since the mid-20th century, leading to stagnating incomes and sluggish economies. The Internet was expected to increase productivity growth by making us smarter and more capable as a collective, but the constant distractions and agitation of digital environments have instead led to a decrease in focus and attention span. Research shows that the average time people spend on a single task has decreased dramatically over the years, from 2.5 minutes in 2004 to about 47 seconds today. This is detrimental to human cognition and multitasking is mostly a myth. Instead of increasing productivity, the digital age has resulted in an "acid bath for human cognition" with the addition of productivity coming secondary to the subtraction of focus.

    • AI's Productivity Boost vs. Potential RisksAI can increase productivity but also poses risks, particularly in trustworthy industries, and constant switching tasks can lead to stress and mental fatigue. AI's ability to hallucinate info can result in inaccurate responses, and it's crucial to consider both benefits and costs before fully embracing it.

      While artificial intelligence (AI) like large language models can increase productivity by summarizing information and creating content, it also poses potential risks, particularly in areas where trustworthiness is crucial. The constant switching between tasks can lead to stress and mental fatigue, and AI's ability to hallucinate information can result in inaccurate responses, potentially hindering its adoption in important industries. The speaker expresses skepticism about the early hype surrounding AI's productivity boost and warns against ignoring the potential costs on our cognition, as was the case with the Internet. It's important to consider both the benefits and the costs before fully embracing AI in various aspects of our lives.

    • AI's Promise in Entertainment vs. FactualityAI can generate engaging content but oversight costs for factuality are high. BuzzFeed's success with quizzes and travel guides contrasts CNET's failed attempt at AI article generation. The vast amount of ideas generated could negatively impact productivity.

      While Artificial Intelligence (AI) shows great promise in creating engaging content, such as personalized video games, children's shows, music mashups, and even potentially companions, its application in areas requiring factuality, trustworthiness, and reliability, like answering medical questions or summarizing doctor-patient interactions, poses significant challenges due to the immense oversight costs. CNET's failed attempt to use AI for article generation serves as a reminder of these challenges. Despite human editing, 41 of 77 AI-generated articles contained errors that went unnoticed. On the other hand, BuzzFeed's use of AI for quizzes and travel guides demonstrates the potential of AI in less fact-dependent domains. However, the vast amount of ideas generated by AI, as BuzzFeed's president Marcela Martin noted, could lead to an overwhelming amount of information that needs processing. This could negatively impact productivity and counteract the intended benefits. As Gloria Mark pointed out, our processing capability is the bottleneck, and producing more information doesn't necessarily lead to more great ideas. In conclusion, AI is poised to revolutionize entertainment and create new domains of delight, but its implementation in areas where reliability matters will require substantial resources for oversight and fact-checking. Additionally, the potential deluge of ideas generated by AI could negatively impact productivity if not managed effectively.

    • The hidden costs of AI-generated textAI-generated text can overwhelm responders, potentially slowing down decision-making, and may lead to a loss of new ideas and deeper insights from human engagement with complex information.

      While large language models like ChatGPT can generate long documents with minimal user effort, this convenience comes with hidden costs. The production of vast amounts of text can overwhelm those who need to respond, potentially slowing down decision-making processes rather than expediting them. Moreover, the outsourcing of drafting and summarizing to AI may lead to a loss of new ideas and deeper insights that come from the human experience of engaging with complex information. The speaker, who is a journalist, emphasizes the importance of the time spent deeply processing information and making connections to existing knowledge, which cannot be replicated by AI. This perspective challenges our societal obsession with speed and efficiency and underscores the value of human cognition.

    • The importance of human connection with informationOver-reliance on AI for cognitive and creative processes can hinder learning opportunities and new insights, but AI should be a tool that empowers human intelligence rather than a replacement.

      While the use of AI for automating tasks can increase productivity, it's crucial not to overlook the importance of human connection with information. Over-reliance on AI for cognitive and creative processes can lead to a loss of learning opportunities and the ability to develop new insights. This is not a new concern, as even ancient philosophers like Socrates questioned the impact of writing on memory and cognitive abilities. However, the goal should be to deepen human intelligence through AI, not replace it. Human beings must continue to build AI that enhances our abilities rather than overwhelming or distracting us. Unfortunately, we have seen this fail in the past with the internet, and it's essential that we learn from these mistakes as we continue to develop AI. In essence, AI should be a tool that empowers human beings, not a replacement for our cognitive and creative abilities.

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    ‘Artificial Intelligence?’ No, Collective Intelligence.

    ‘Artificial Intelligence?’ No, Collective Intelligence.

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    Holly Herndon offered one answer with her 2019 album “PROTO.” Along with Mathew Dryhurst and the programmer Jules LaPlace, she built an A.I. called “Spawn” trained on human voices that adds an uncanny yet oddly personal layer to the music. Beyond her music and visual art, Herndon is trying to solve a problem that many creative people are encountering as A.I. becomes more prominent: How do you encourage experimentation without stealing others’ work to train A.I. models? Along with Dryhurst, Jordan Meyer and Patrick Hoepner, she co-founded Spawning, a company figuring out how to allow artists — and all of us creating content on the internet — to “consent” to our work being used as training data.

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    Movement” by Holly Herndon

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    Holly+

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    A Conservative Futurist and a Supply-Side Liberal Walk Into a Podcast …

    A Conservative Futurist and a Supply-Side Liberal Walk Into a Podcast …

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    The answer, I think, lies in the 1970s. I’ve been spending a lot of time studying that decade in my work, trying to understand why America is so bad at building today. And James Pethokoukis has also spent a lot of time looking at the 1970s, in his work trying to understand why America is less innovative today than it was in the postwar decades. So Pethokoukis and I are asking similar questions, and circling the same time period, but from very different ideological vantages.

    Pethokoukis is a senior fellow at the American Enterprise Institute, and author of the book “The Conservative Futurist: How to Create the Sci-Fi World We Were Promised.” He also writes a newsletter called Faster, Please! “The two screamingly obvious things that we stopped doing is we stopped spending on science, research and development the way we did in the 1960s,” he tells me, “and we began to regulate our economy as if regulation would have no impact on innovation.”

    In this conversation, we debate why the ’70s were such an inflection point; whether this slowdown phenomenon is just something that happens as countries get wealthier; and what the government’s role should be in supporting and regulating emerging technologies like A.I.

    Mentioned:

    U.S. Infrastructure: 1929-2017” by Ray C. Fair

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    The Ezra Klein Show
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    The Disastrous Relationship Between Israel, Palestinians and the U.N.

    The Disastrous Relationship Between Israel, Palestinians and the U.N.

    The international legal system was created to prevent the atrocities of World War II from happening again. The United Nations partitioned historic Palestine to create the states of Israel and Palestine, but also left Palestinians with decades of false promises. The war in Gaza — and countless other conflicts, including those in Syria, Yemen and Ethiopia — shows how little power the U.N. and international law have to protect civilians in wartime. So what is international law actually for?

    Aslı Ü. Bâli is a professor at Yale Law School who specializes in international and comparative law. “The fact that people break the law and sometimes get away with it doesn’t mean the law doesn’t exist and doesn’t have force,” she argues.

    In this conversation, Bâli traces the gap between how international law is written on paper and the realpolitik of how countries decide to follow it, the U.N.’s unique role in the Israeli-Palestinian conflict from its very beginning, how the laws of war have failed Gazans but may be starting to change the conflict’s course, and more.

    Mentioned:

    With Schools in Ruins, Education in Gaza Will Be Hobbled for Years” by Liam Stack and Bilal Shbair

    Book Recommendations:

    Imperialism, Sovereignty and the Making of International Law by Antony Anghie

    Justice for Some by Noura Erakat

    Worldmaking After Empire by Adom Getachew

    The Constitutional Bind by Aziz Rana

    The United Nations and the Question of Palestine by Ardi Imseis

    Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.

    You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.

    This episode of “The Ezra Klein Show” was produced by Annie Galvin. Fact-checking by Michelle Harris. Our senior engineer is Jeff Geld, with additional mixing by Aman Sahota and Isaac Jones. Our senior editor is Claire Gordon. The show’s production team also includes Rollin Hu, Elias Isquith and Kristin Lin. Original music by Isaac Jones. Audience strategy by Kristina Samulewski and Shannon Busta. The executive producer of New York Times Opinion Audio is Annie-Rose Strasser. Special thanks to Carole Sabouraud.

    The Ezra Klein Show
    enMay 17, 2024

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    Alan Burdick on the Nature of Time and the Terrors of Productivity

    Alan Burdick on the Nature of Time and the Terrors of Productivity

    How do we measure and manage our lives? This week Paul and Rich talk to Alan Burdick, a staff writer and former senior editor at The New Yorker whose perpetual lateness led to Why Time Flies: A Mostly Scientific Investigation, a far-reaching and comprehensive exploration of time. They discuss productivity apps, our internal clocks, children’s perception of time, bullet journaling, and more.

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    Products We Love: On the Tools We Use to Boost Productivity

    Products We Love: On the Tools We Use to Boost Productivity

    There’s a lot of bad software out there, but let’s celebrate the good. This week, Chris and Gina share some of their favorite productivity tools that improve their work lives and workflow. From streamlining emails to taking quicker notes to filing company expenses, get an insight into what products Postlight uses behind the scenes. 


    Links:

    Obsidian

    Alfred

    Superhuman 

    Airtable 

    Ramp 

    Google sheets
    Soulver

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    Gina Trapani has things TODO.txt

    Gina Trapani has things TODO.txt

    Productivity at Postlight: this week, with Rich an ocean away, Paul is joined by Gina Trapani, a director of engineering at Postlight who is well-known for, amongst other things, founding the website Lifehacker. They discuss her productivity tool, TODO.txt, an open-source project now in the hands of Postlight’s team, and productivity tools at large, in a conversation ranging from the specifics of Paul’s favorite, org mode, to the way having children disrupts all your plans for organized, efficient workflows.

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    Boost Your Creativity: Using GPT-3 for Content Ideation and Research

    Boost Your Creativity: Using GPT-3 for Content Ideation and Research

    If you're feeling frustrated and overwhelmed with the endless cycle of brainstorming and researching for content ideas, only to end up with lackluster results that fail to captivate your audience, then you are not alone! Spending countless hours scouring the internet for inspiration or relying on outdated brainstorming techniques can leave you feeling burnt out and uninspired. It's time to take a new approach to content creation by utilizing the power of GPT-3 to enhance your ideation and research process. Say goodbye to writer's block and hello to heightened productivity and higher-quality content.

    11/13/18 Understanding AI, Machine Learning

    11/13/18 Understanding AI, Machine Learning

    Peggy and Basavaraj Patil, a lead member of technical staff in AT&T's Internet of Things business unit, discuss the definition of the terms AI, machine learning, and deep learning. He says the term AI was coined back in 1956, but the technology has morphed today. He also explains how the IoT (Internet of Things) relates to all of it. Today, more and more companies are trying to figure out how to use all the data, he continues, and AI and machine learning can improve prosperity, react faster to malfunctions, and more.