AI Article Readings

This post by Corvin is a pastiche of the ACX Bay Area House Party Series.
https://open.substack.com/pub/ravenstales/p/every-acx-house-party?utm_campaign=post-expanded-share&utm_medium=web


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Every Debate On Pausing AI - By Scott Alexander
https://open.substack.com/pub/astralcodexten/p/every-debate-on-pausing-ai?utm_campaign=post-expanded-share&utm_medium=web


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“Full Cast” AI reading of Being John Rawls - By Scott Alexander.
* 00:00 - Introduction
* 03:23 - II
* 11:27 - III
* 20:21 - IV
* 25:00 - V
* 31:17 - VI
https://open.substack.com/pub/astralcodexten/p/being-john-rawls?utm_campaign=post-expanded-share&utm_medium=web


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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this article, SE Gyges argues that the widely cited “stochastic parrots” critique of large language models is not only outdated but actively harmful to serious discussion of AI.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


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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


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