The Other AI: Audio Briefings on Augmented Intelligence and AI Governance

Basil C. Puglisi

The Other AI turns Basil C. Puglisi's articles, white papers, and policy briefs into audio briefings on AI governance, augmented intelligence, human judgment, and human-AI collaboration. The format is built for the time and conditions in which people actually learn, whether running, driving, riding a train, or working on something else. Episodes are AI-narrated for clean, consistent production, and human review approves each publication before release. The complete original work, including details, sources, and citations, lives at basilpuglisi.com. Topics include HAIA-RECCLIN, Factics, Checkpoint-Based Governance, enterprise AI adoption, AI policy, cognitive enhancement, and the future of human authority over automated systems. This podcast is for executives, researchers, consultants, educators, policy thinkers, and AI practitioners who want more than AI hype. The show focuses on evidence, dissent, governance, measurable outcomes, and the role of human judgment when machines become more capable.

  1. 11h ago

    Ray Kurzweil, The Acceleration Thesis: The Minds That Bend the Machine, Chapter 19

    What happens when a forecast becomes a plan? This Deep Dive walks through Chapter 19 of The Minds That Bend the Machine by Basil C. Puglisi, MPA. The hosts start with who Ray Kurzweil is, then the Law of Accelerating Returns at the center of his work. They follow the curve to the singularity and his forecast that human and machine intelligence will merge. Then they stay longest with how a forecast shapes what institutions do, from his forecasting grammar to his exchange with Gary Marcus. Next, they let three lines of critique run, with no side taken. After that, they ask where his work stands now, from The Singularity Is Nearer to his forecast of AGI by 2029. They also ask what the chapter takes from him. A short turn covers how his work shaped the author's own work and the question the book reconstructs from Kurzweil's published record. Near the end, the hosts hand off to the final philosopher of the wave. The book releases November 6, 2026, in hardcover, with presales opening October 30, 2026, and the Kindle edition opening November 3, 2026. The simulated critique in this chapter is a reconstruction built from the public record and does not represent the views, words, opinions, or endorsements of Ray Kurzweil. https://basilpuglisi.com/minds-that-bend-the-machine/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing. Suggested citation: Puglisi, B. C. (2026). The Minds That Bend the Machine. basilpuglisi.com.

    Ray Kurzweil, The Acceleration Thesis: The Minds That Bend the Machine, Chapter 19

  2. 1d ago

    Eliezer Yudkowsky, The Voice That Said Stop: The Minds That Bend the Machine, Chapter 18

    What if the alignment decision has to be made before anyone can correct it? This Deep Dive walks through Chapter 18 of The Minds That Bend the Machine by Basil C. Puglisi, MPA. The hosts start with who Eliezer Yudkowsky is, then the warning about timing at the center of his work. They explain Coherent Extrapolated Volition, his answer to what a machine should aim for if not fixed rules. Then they stay longest with "AGI Ruin" and his 2023 call in TIME magazine for a worldwide halt on large training runs. The range of expert views on extinction comes with it. Next, they let three lines of critique run, with no side taken. After that, they ask where his work stands now, from his 2025 book with Nate Soares to his own answer of an international halt. They also ask what the chapter takes from him. A short turn covers how his work shaped the author's own work and the questions the book reconstructs from Yudkowsky's published record. Near the end, the hosts hand off to the next chapter, with Ray Kurzweil. The book releases November 6, 2026, in hardcover, with presales opening October 30, 2026, and the Kindle edition opening November 3, 2026. The simulated critique in this chapter is a reconstruction built from the public record and does not represent the views, words, opinions, or endorsements of Eliezer Yudkowsky. https://basilpuglisi.com/minds-that-bend-the-machine/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing. Suggested citation: Puglisi, B. C. (2026). The Minds That Bend the Machine. basilpuglisi.com.

    Eliezer Yudkowsky, The Voice That Said Stop: The Minds That Bend the Machine, Chapter 18

  3. 2d ago

    Nick Bostrom, The Philosopher Who Mandated the Worst Case: The Minds That Bend the Machine, Chapter 17

    What happens when the worst case becomes a design constraint? This Deep Dive walks through Chapter 17 of The Minds That Bend the Machine by Basil C. Puglisi, MPA. The hosts start with who Nick Bostrom is, then the control problem at the center of his work. They explain why, in his argument, a smarter machine is not a safer one, from the orthogonality thesis to instrumental convergence and the paperclip maximizer. Then they stay longest with the Vulnerable World Hypothesis and Deep Utopia, from surviving the worst case to the question of meaning after it. Next, they let three lines of dissent run, including the TESCREAL critique articulated most prominently by the philosopher Émile Torres, with no side taken. After that, they ask where his work stands now, from the closure of the Future of Humanity Institute to his 2025 working paper on open global investment. They also ask what the chapter takes from him. A short turn covers how his work shaped the author's own work and a simulated critique the book reconstructs from Bostrom's published record. Near the end, the hosts hand off to the next chapter, with Eliezer Yudkowsky. The book releases November 6, 2026, in hardcover, with presales opening October 30, 2026, and the Kindle edition opening November 3, 2026. The simulated critique in this chapter is a reconstruction built from the public record and does not represent the views, words, opinions, or endorsements of Nick Bostrom. https://basilpuglisi.com/minds-that-bend-the-machine/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing. Suggested citation: Puglisi, B. C. (2026). The Minds That Bend the Machine. basilpuglisi.com.

    Nick Bostrom, The Philosopher Who Mandated the Worst Case: The Minds That Bend the Machine, Chapter 17

  4. 3d ago

    Stuart Russell, The Engineer Who Replaced the Objective: The Minds That Bend the Machine, Chapter 16

    What happens when an AI system pursues the wrong goal too well? This Deep Dive walks through Chapter 16 of The Minds That Bend the Machine by Basil C. Puglisi, MPA. The hosts start with who Stuart Russell is, then his case against the standard model of AI. They follow the three principles he proposes in its place. Then they stay longest with why uncertainty keeps a machine correctable, from corrigibility to the Reith Lectures and his position on autonomous weapons. Then they let three critiques of his framework run, with no side taken. Then they ask where his work stands now, with the Global Call for AI Red Lines, which his center co-organized with The Future Society and CeSIA. They also ask what the chapter takes from him. A short turn covers how his work shaped the author's own work and a simulated critique the book reconstructs from Russell's published record. Near the end, the hosts hand off to the next chapter, with the philosopher Nick Bostrom. The book releases November 6, 2026, in hardcover, with presales opening October 30, 2026, and the Kindle edition opening November 3, 2026. The simulated critique in this chapter is a reconstruction built from the public record and does not represent the views, words, opinions, or endorsements of Stuart Russell. https://basilpuglisi.com/minds-that-bend-the-machine/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing. Suggested citation: Puglisi, B. C. (2026). The Minds That Bend the Machine. basilpuglisi.com.

    Stuart Russell, The Engineer Who Replaced the Objective: The Minds That Bend the Machine, Chapter 16

  5. 4d ago

    Jessica Newman, The Translator Between Standards and Practice: The Minds That Bend the Machine, Chapter 15

    Why do AI standards so often fail to change what organizations actually do? This Deep Dive walks through Chapter 15 of The Minds That Bend the Machine by Basil C. Puglisi, MPA. The hosts start with who Jessica Newman is, then the translation gap between governance standards and the organizations that implement them. They follow her 2022 work on high-consequence risk with Anthony Barrett, Dan Hendrycks, and Brandie Nonnecke. Then they stay longest with her Taxonomy of Trustworthiness and how it maps trust to the AI lifecycle and the NIST framework. Then they let the questions her work leaves open run, from capacity to pace to procurement, with no side taken. Then they ask where her work stands now, from the NIST comments with her Berkeley colleagues to her 2026 roles. They also ask what the chapter takes from her as it closes Wave III. A short turn covers how her work shaped the author's own work and a simulated critique the book reconstructs from Newman's published record. Near the end, the hosts hand off to the next wave of the book. The book releases November 6, 2026, in hardcover, with presales opening October 30, 2026, and the Kindle edition opening November 3, 2026. The simulated critique in this chapter is a reconstruction built from the public record and does not represent the views, words, opinions, or endorsements of Jessica Newman. https://basilpuglisi.com/minds-that-bend-the-machine/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing. Suggested citation: Puglisi, B. C. (2026). The Minds That Bend the Machine. basilpuglisi.com.

    Jessica Newman, The Translator Between Standards and Practice: The Minds That Bend the Machine, Chapter 15

  6. 5d ago

    Helen Toner, The Board Member Who Found Out Late: The Minds That Bend the Machine, Chapter 14

    What happens when the board that oversees an AI company finds out late? This Deep Dive walks through Chapter 14 of The Minds That Bend the Machine by Basil C. Puglisi, MPA. The hosts start with who Helen Toner is, then the two governance levers her record connects, compute and corporate oversight. They follow the chip research built at CSET, the center she now directs, including work by her colleagues Saif M. Khan and Carrick Flynn. Then they stay longest with the OpenAI board crisis of November 2023 and what it showed about oversight from inside. Then they let the dispute over her account run, with each challenge in full and no side taken. Then they ask where her work stands now, from her April 2026 Senate testimony to her permanent appointment at CSET. They also ask what the chapter takes from her. A short turn covers how her work shaped the author's own work and a simulated critique the book reconstructs from Toner's published record. Near the end, the hosts hand off to the next chapter, on what governance institutions need to function. The book releases November 6, 2026, in hardcover, with presales opening October 30, 2026, and the Kindle edition opening November 3, 2026. The simulated critique in this chapter is a reconstruction built from the public record and does not represent the views, words, opinions, or endorsements of Helen Toner. https://basilpuglisi.com/minds-that-bend-the-machine/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing. Suggested citation: Puglisi, B. C. (2026). The Minds That Bend the Machine. basilpuglisi.com.

    Helen Toner, The Board Member Who Found Out Late: The Minds That Bend the Machine, Chapter 14

  7. 6d ago

    AIDA, Explained: When AI Becomes Assistive Technology, and the Three Questions That Decide It

    Three working papers now carry one argument, and this episode walks through all three before it slows down on the first. The first paper names a function that was already happening and gives it a boundary. Artificially Intelligent Disability Assistance, AIDA, is any AI capability a person uses to increase, maintain, or improve a functional capability limited by disability. The second asks what follows when an institution writes a rule against that use, and sorts those rules into six types. The third, published November 8, 2026, holds that the protections against that punishment already exist. It gives the person a notice and a way to show standing without opening a medical file. Most of the episode belongs to the first paper's test, where three questions decide whether a use qualifies. Is there a disability-related barrier you can name as a function, not as a diagnosis? Does this particular AI capability directly reduce or bypass that barrier, and does the use increase, maintain, or improve the person's own capability? The hosts run the case the test excludes and name the seven hypothetical cases it runs. They then take up the two further questions about authority and accountability that sit beside the test without deciding it. The disability community's dissent gets its own stretch, including the Autistic Self Advocacy Network's position on plain-language translation. It is carried as an open question rather than answered away. The papers speak from governance and policy, not law, and so does this episode. AI can function as assistive technology; whether an institution must approve a particular tool is a separate question the law answers case by case. Same standard, different means. Read the full papers: https://basilpuglisi.com/aida-ai-assistive-technology/ https://basilpuglisi.com/ai-policy-accessibility-barrier/ https://doi.org/10.5281/zenodo.24056037 Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing.

    AIDA, Explained: When AI Becomes Assistive Technology, and the Three Questions That Decide It

  8. 6d ago

    Erik Brynjolfsson, The Cost of Getting It Right: The Minds That Bend the Machine, Chapter 13

    Why does AI take so long to show up in the productivity numbers? This Deep Dive walks through Chapter 13 of The Minds That Bend the Machine by Basil C. Puglisi, MPA. The hosts start with who Erik Brynjolfsson is, then the Productivity J-Curve he developed with Daniel Rock and Chad Syverson. They follow his argument about the Turing Trap and the case for augmentation. Then they stay longest with why the payoff waits on the organization, from the turn of the curve to The Second Machine Age, written with Andrew McAfee. Then they let the open questions about the curve run, from Robert Gordon and other critics to Brynjolfsson's reply, with no side taken. Then they ask where his work stands now, starting with the Human Agency Scale, introduced in 2025 by a Stanford team that included him. That same year brought the canaries in the coal mine analysis, from his work with Bharat Chandar and Ruyu Chen. They also ask what the chapter takes from him, including a disagreement with Daron Acemoglu that the book leaves unresolved. A short turn covers how his work shaped the author's own work and a simulated critique the book reconstructs from Brynjolfsson's published record. Near the end, the hosts hand off to Helen Toner, a former OpenAI board member. The book releases November 6, 2026, in hardcover, with presales opening October 30, 2026, and the Kindle edition opening November 3, 2026. The simulated critique in this chapter is a reconstruction built from the public record and does not represent the views, words, opinions, or endorsements of Erik Brynjolfsson. https://basilpuglisi.com/minds-that-bend-the-machine/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing. Suggested citation: Puglisi, B. C. (2026). The Minds That Bend the Machine. basilpuglisi.com.

    Erik Brynjolfsson, The Cost of Getting It Right: The Minds That Bend the Machine, Chapter 13
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About

The Other AI turns Basil C. Puglisi's articles, white papers, and policy briefs into audio briefings on AI governance, augmented intelligence, human judgment, and human-AI collaboration. The format is built for the time and conditions in which people actually learn, whether running, driving, riding a train, or working on something else. Episodes are AI-narrated for clean, consistent production, and human review approves each publication before release. The complete original work, including details, sources, and citations, lives at basilpuglisi.com. Topics include HAIA-RECCLIN, Factics, Checkpoint-Based Governance, enterprise AI adoption, AI policy, cognitive enhancement, and the future of human authority over automated systems. This podcast is for executives, researchers, consultants, educators, policy thinkers, and AI practitioners who want more than AI hype. The show focuses on evidence, dissent, governance, measurable outcomes, and the role of human judgment when machines become more capable.

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