The AI Longread

The AI Longread

By David HagueTechnology
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The AI Longread episodes

  • The Philosophy of AI by John Willis

    Willis' article invites us to reconsider our relationship with artificial intelligence and challenges the notion that human intelligence is the ultimate standard.


    https://www.linkedin.com/pulse/epilogue-philosophy-ai-john-willis-ha0ge/

    24 min
  • Personal Superintelligence by Mark Zuckerberg

    Personal superintelligence is coming—will it empower people or replace them?


    Zuckerberg argues that superintelligence is within sight and should empower individuals—AI that knows your goals, lives in context-aware devices like glasses, and helps you create and connect. He contrasts this with a centralized push to automate all work, saying the coming decade will decide which path wins. He acknowledges safety and openness tensions, pledging rigor while aiming to share the benefits broadly.


    Listen now, or read the article at https://www.meta.com/superintelligence

    6 min
  • Using AI Right Now: A Quick Guide by Ethan Mollick

    Ethan Mollick's article simplifies the complex landscape of AI tools, recommending three primary systems—Claude, Google’s Gemini, and OpenAI’s ChatGPT—for MOST users. He emphasizes the importance of understanding these tools' features and provides practical advice on selecting the right model, utilizing voice mode, and leveraging Deep Research capabilities to enhance productivity.

    17 min
  • Against "Brain Damage" by Ethan Mollick

    As we increasingly rely on AI in various aspects of our lives, it’s essential to remain vigilant about how we use these tools. The idea of 'thinking first' resonates deeply; it challenges us to be active participants in our learning and creativity, rather than passive consumers of information. I wonder how we can cultivate environments that foster this critical engagement with AI in both educational and professional settings.

    16 min
  • Most work is new work, does technology help or hurt employment?

    In this episode, I read a two-part article series: "Most work is new work, long-term study of U.S. census data shows" and “Does technology help or hurt employment?” by Peter Dizikes

    Link to the original articles:

    https://news.mit.edu/2024/most-work-is-new-work-us-census-data-shows-0401

    https://news.mit.edu/2024/does-technology-help-or-hurt-employment-0401


    15 min
  • Co-Intelligence - Centaurs and Cyborgs

    In this episode, I read select parts from the newly released book Co-Intelligence by professor Ethan Mollick.

    Check out the book on Amazon: https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X

    12 min
  • You can't build a moat with AI

    In this episode, I read "You can't build a moat with AI" by Vikram Sreekanti and Joseph E. Gonzalez. Link to the original article: https://generatingconversation.substack.com/p/you-cant-build-a-moat-with-ai

    Sam Altman “Two strategies” conversation on 20VC: https://www.youtube.com/watch?v=G8T1O81W96Y&t=0s

    Same Altman “GPT4 kind of sucks” conversation with Lex Fridman: https://www.youtube.com/watch?v=jvqFAi7vkBc

    8 min
  • As Use of A.I. Soars, So Does the Energy and Water It Requires

    In this episode, I read "As Use of A.I. Soars, So Does the Energy and Water It Requires" by BY DAVID BERREBY. Link to the original article: https://e360.yale.edu/features/artificial-intelligence-climate-energy-emissions

    US Energy Generation by Source: https://www.eia.gov/tools/faqs/faq.php?id=427&t=3

    13 min

About The AI Longread

From the publisher's feed

A daily podcast with a mission to find interesting and thought-provoking pieces on artificial intelligence and bring them to you in audio form every day of the week