AI Article Readings

Readings of great articles in AI voices

Readings of great articles in AI voices askwhocastsai.substack.com

  1. Polly Wants a Better Argument, By SE Gyges

    2 GG FA

    Polly Wants a Better Argument, By SE Gyges

    In this article, SE Gyges argues that the widely cited “stochastic parrots” critique of large language models is not only outdated but actively harmful to serious discussion of AI. The piece examines how the argument misunderstands modern AI systems, ignores advances like multimodal training and reinforcement learning, and rests on a narrow definition of “meaning.” By walking through both empirical evidence and conceptual flaws in the original claim, Gyges contends that dismissing LLMs as mere parrots prevents society from grappling with the real ethical and political challenges posed by systems that demonstrably do work. * 00:00 - Introduction * 02:31 - Even If True, The Argument Is Irrelevant * 03:32 - The Argument Doesn’t Apply to Any Major Model Since 2023 * 06:45 - The Argument Was Already Obsolete When Published * 08:05 - The Argument Is Empirically False * 08:19 - The Octopus Test * 12:05 - The Platonic Representation Hypothesis * 13:24 - Form Carries Meaning * 15:48 - The Argument Is Badly Constructed * 16:07 - Parrots Are Amazing, Actually * 16:56 - The Definition of Meaning Is Circular * 19:28 - Conclusion https://open.substack.com/pub/verysane/p/polly-wants-a-better-argument?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    21 min
  2. Why ATMs didn’t kill bank teller jobs, but the iPhone did - By David Oks

    5 GG FA

    Why ATMs didn’t kill bank teller jobs, but the iPhone did - By David Oks

    In this article David Oks takes a familiar story about technology and jobs, the idea that ATMs automated banking without destroying teller work, and turns it on its head, arguing that the real disruption came later from the smartphone era. Using the history of bank branches, bank tellers, and mobile banking, he explores a broader point about technological change: that the biggest effects often come not when a new tool replaces part of a job, but when it creates an entirely new way of doing things that makes the old role far less necessary. * 00:00 - Introduction * 07:17 - ATMs didn’t kill bank teller jobs * 20:32 - But iPhones actually did * 26:25 - Automating a job is much harder than making it irrelevant https://open.substack.com/pub/davidoks/p/why-the-atm-didnt-kill-bank-teller?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    32 min
  3. The Elect - By Tomás Bjartur

    6 MAR

    The Elect - By Tomás Bjartur

    A short story by Tomás Bjartur https://open.substack.com/pub/tomasbjartur/p/the-elect?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    32 min
  4. Clawed - By Dean W. Ball

    2 MAR

    Clawed - By Dean W. Ball

    In this post Dean W. Ball explores the gradual nature of life and death, drawing a poignant parallel between the passing of his father and the ongoing decline of the American republic. Using a recent policy skirmish between the AI firm Anthropic and the U.S. Department of War over the military deployment of the Claude AI system as a focal point, he examines the shifting dynamics of government power and private enterprise. Ultimately, he invites readers to look beyond traditional partisan divides and carefully consider how the control of frontier AI will shape the future of human liberty. * 00:00 - Introduction * 00:05 - One * 02:22 - Two * 04:52 - Three * 06:52 - Four * 18:19 - Five https://open.substack.com/pub/hyperdimensional/p/clawed?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    22 min
  5. "All Lawful Use": Much More Than You Wanted To Know - By Scott Alexander

    1 MAR

    "All Lawful Use": Much More Than You Wanted To Know - By Scott Alexander

    In this post, Scott Alexander examines the legal and contractual implications of the Department of War's "all lawful use" demand for AI systems, breaking down what US law actually permits regarding mass domestic surveillance and autonomous weapons, and why the phrase "lawful use" provides far less protection than most people assume. * 00:00 - Introduction * 02:42 - Mass domestic surveillance: more than you wanted to know * 08:59 - Autonomous weapons: more than you wanted to know * 13:21 - Comments on OpenAI’s FAQ * 17:51 - Questions that you should be asking https://open.substack.com/pub/astralcodexten/p/all-lawful-use-much-more-than-you?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    21 min
  6. THE 2028 GLOBAL INTELLIGENCE CRISIS

    24 FEB

    THE 2028 GLOBAL INTELLIGENCE CRISIS

    In this essay, Citrini and Alap Shah construct a fictional macro memo written from the perspective of June 2028, using the format of financial retrospective analysis to explore a single underexamined scenario: what happens when AI adoption succeeds beyond all expectations, and that success becomes the source of catastrophic economic disruption. The piece traces how accelerating AI capability interacts with the structures of the white-collar labour market, corporate spending, consumer demand, credit markets, and government fiscal policy — identifying the feedback loops that connect each layer into a single, self-reinforcing system. The authors are explicit that this is a thought exercise rather than a forecast, and the essay closes by returning the reader to February 2026, framing the scenario as a risk to model and prepare for rather than a fate already in motion. * 00:00 - Introduction * 00:56 - Macro Memo * 00:57 - The Consequences of Abundant Intelligence * 05:33 - How It Started * 10:18 - When Friction Went to Zero * 19:17 - From Sector Risk to Systemic Risk * 27:47 - The Intelligence Displacement Spiral * 32:45 - The Daisy Chain of Correlated Bets * 47:34 - The Battle Against Time * 54:12 - The Intelligence Premium Unwind * 56:43 - Acknowledgements https://open.substack.com/pub/citrini/p/2028gic?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    57 min
  7. The left is missing out on AI - By Dan Kagan-Kans

    17 FEB

    The left is missing out on AI - By Dan Kagan-Kans

    In this essay, Dan Kagan-Kans argues that the political left has largely refused to engage seriously with artificial intelligence, instead settling on a dismissive consensus that treats it as little more than "spicy autocomplete." Drawing on voices from left-wing publications, podcasts, academics, and politicians, he traces how this attitude took hold, examines the understandable reasons for skepticism alongside the costs of letting skepticism harden into denial, and makes the case that by ceding the AI conversation to the right, the left risks being unprepared for, and unable to shape, one of the most consequential technological shifts in history. * 00:00 - Introduction * 00:16 - Abdication * 02:31 - The new consensus * 10:55 - The con * 13:57 - Reasons to be skeptical * 16:52 - Academia * 21:45 - Exceptions and the right * 25:39 - Costs and missed opportunities https://open.substack.com/pub/transformernews/p/the-left-is-missing-out-on-ai-sanders-doctorow-bender-bores?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    32 min
  8. When "technically true" becomes "actually misleading" - By Kelsey Piper

    13 FEB

    When "technically true" becomes "actually misleading" - By Kelsey Piper

    In this article, Kelsey Piper tackles a persistent claim that keeps circulating in prestigious publications: that AI language models are "just" next-word predictors, stochastic parrots, or "spicy autocomplete." She argues this framing — while containing a kernel of truth about one stage of how models are trained — has become a form of "highbrow misinformation" that leaves the public less equipped to understand what AI actually is and what it can do today. Drawing on hands-on demonstrations and a useful concept borrowed from climate discourse, Piper makes the case that it's time to retire this particular talking point, regardless of where you land on the broader questions about AI's impact. * 00:00 - Introduction * 03:53 - How language models work * 12:36 - It’s 2026, and AIs can do complex tasks independently https://open.substack.com/pub/theargument/p/when-technically-true-becomes-actually?utm_campaign=post-expanded-share&utm_medium=web This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe

    19 min
Elenco completo (372)

Descrizione

Readings of great articles in AI voices askwhocastsai.substack.com

Informazioni

  • Creatore
    Readings of great articles in AI voices
  • Anni di attività
    2024 - 2026
  • Puntate
    372
  • Classificazione
    Contenuti adatti a tutti
  • Copyright
    © Tom A
  • Sito web del podcast
    AI Article Readings

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