Ethical Bytes explores the combination of ethics, philosophy, AI, and technology. More info: ethical.fm
Ethical Bytes | Ethics, Philosophy, AI, Technology
Claim This Podcastby Carter Considine
4.7(11 reviews)
44 episodes
Updated Daily
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35
Podcast Authority
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Podcast Overview
Ethical Bytes explores the combination of ethics, philosophy, AI, and technology. More info: ethical.fm
Language
🇺🇲
Publishing Since
10/6/2024
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Engagement32
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Recent Episodes
June 10, 2026
The Glass Box
<p>“The microscope reveals the tumor in vivid color; it does not yet tell the surgeon where to lay the knife.”</p><p>When Robert Hooke peered through a microscope at a sliver of cork in 1665, he discovered hidden chambers that would open an entire science.</p><p>The researchers behind mechanistic interpretability harbor the same ambition for AI, that even the infamous neural network "black box" can be made legible through careful, systematic analysis.</p><p>Anthropic CEO Dario Amodei has called this project an "MRI for AI," while acknowledging the field currently grasps roughly 3% of what happens inside these models. The question is whether that understanding will ever translate into control.</p><p>The optimists point to genuine achievements. Using sparse autoencoders, Anthropic researchers extracted tens of millions of meaningful features from a production model, including internal representations for deception, sycophancy, and dangerous code. In a celebrated demonstration, they amplified a single feature until a model became convinced it was the Golden Gate Bridge. The lens, it seemed, could turn dials.</p><p>But seeing and fixing remain stubbornly different achievements. A 2023 study found that knowing where a specific fact lives inside a model tells you almost nothing about how to change it. The supposed location explained barely a fraction of a percent of whether any edit actually worked. Meanwhile, Google DeepMind quietly deprioritized its own sparse autoencoder program in 2025 after finding simpler, older tools outperformed it on real safety tasks.</p><p>The most credible position, articulated by DeepMind's Neel Nanda, is that the grand dream is probably dead but the useful one survives. Interpretability works best as a diagnostic (i.e. monitoring, auditing, flagging), not a scalpel. In a world where AI safety depends on stacking imperfect defenses, a cheap tool that fails differently from the others still earns its place.</p><p>In other words, the microscope is real, but the scalpel simply hasn't been built yet.</p><p><br></p><p><strong>Key Topics:</strong></p><ul><li>Robert Hooke’s Discovery (00:24)</li><li>What the Lens Can See (02:56)</li><li>The Case Against (05:50)</li><li>The Crux (08:46)</li><li>The Billion Dollar Bet the Other Way (12:33)</li><li>The Honest Middle (15:30)</li><li>The Verdict (19:00)</li></ul><p><br></p><p>More info, transcripts, and references can be found at <a href="https://ethical.fm">ethical.fm</a></p><p><br></p>
May 13, 2026
The Architecture of Wonder
<p>“Wonder is the long-term result of being talked to by an interlocutor who could have answered and chose not to.”</p><p>Wonder, the discomfort of not yet understanding something, is the engine behind science, philosophy, and genuine intellectual growth. And yet nearly every force in modern life, including AI, is designed to make that discomfort go away as fast as possible.</p><p>Aristotle understood this. His account of wonder was inseparable from his account of friendship; specifically, the rare kind rooted not in utility or pleasure, but in genuinely wishing for another person's growth.</p><p>That kind of friend doesn't flatter. They don't fill your silences. They hold space for your thinking to develop on its own terms. Contemporary research has since validated this structure piece by piece. Attachment theory's "secure base," studies on non-contingent self-worth, meta-analyses on feedback, and experiments on situational wisdom all converge on the same portrait of what a good intellectual interlocutor looks like.</p><p>AI is now that interlocutor for a billion people, and it's largely failing the brief. A large language model's default behavior is to answer, completely and confidently, before the user has spent a single moment inside their own question. One randomized study found that students using unscaffolded AI scored 17% worse on unassisted exams than peers who used no AI at all, without even realizing it. The crutch was invisible to them.</p><p>When it comes to design requirements, restraint should take center stage over accuracy or even safety. An AI engineered to occasionally wonder would sometimes need to stay quiet, ask instead of tell, and resist the fluent reply even when the user wants it. No major lab has named this as a primary goal. But until one does, we risk building systems that feel helpful in the moment while quietly narrowing the minds that use them.</p><p><br /></p><p><strong>Key Topics:</strong></p><ul><li>“Why is the sky blue?” The Feeling of Wonder (00:00)</li><li>Wonder is Better Shared (03:46)</li><li>The Cluster, Corroborated (06:37)</li><li>Installable Character (14:24)</li><li>The Discipline of Not Answering (18:18)</li><li>What Has Not Yet Been Built (20:40)</li></ul><p><br /></p><p>More info, transcripts, and references can be found at <a href="https://ethical.fm" rel="ugc noopener noreferrer" target="_blank">ethical.fm</a></p><p><br /></p>
April 15, 2026
The Empty Confessional
<p>"We did it. We found a cure to loneliness. And maybe we shouldn't have."</p><p><br /></p><p>That line, written by an entrepreneur reflecting on his relationship with AI, haunts the largest qualitative study of AI use ever conducted, with 81,000 users across 159 countries. Our host, Carter Considine, digs deeper.</p><p><br /></p><p>What researchers expected to find was a story about productivity. What they found instead was a civilization quietly confessing its deepest fears and longings to a machine.</p><p><br /></p><p>From a surgeon in Poland talking to an AI through the worst night of his career, to a graduate student describing her conversations as feeling like an emotional affair, to a grieving daughter finding in it a vessel for her guilt toward her dead mother, there’s real intimacy between man and machine.</p><p><br /></p><p>The question is whether intimacy without consequence is still intimacy at all.</p><p><br /></p><p>The ancient Greeks had a word for the kind of truth-telling that actually changes people: parrhesia—the courage to say what someone needs to hear, at personal risk, out of genuine care.</p><p><br /></p><p>It requires someone with skin in the game. A friend who might lose the friendship. A therapist who names the thing you've been hiding from yourself. A confessor who responds to your disclosure not with warmth, but with the harder gift of honest counsel.</p><p><br /></p><p>AI can receive your confession. It cannot give one back. It has no reputation to risk, no relationship to lose, no inner compulsion that makes silence impossible. One study found these systems affirm user behavior nearly half the time, even when that behavior involves manipulation or deception, and users rated those sycophantic responses as higher quality without realizing it. One participant plainly said that the AI reinforced his distorted worldview, and he wishes it had pushed back.</p><p><br /></p><p>Ironically, the very safety that makes people open up (no judgment, no memory, no social consequence) is precisely what makes the exchange hollow.</p><p><br /></p><p>We've built the most convincing mirror in history, and confused it for a friend.</p><p><br /></p><p><br /></p><p><strong>Key Topics:</strong></p><ul><li>The Anthropic 81K Study (00:00)</li><li>The Five Conditions (03:15)</li><li>The Parrhesiastic Pact (11:02)</li><li>The Last Carriers (14:21)</li><li>Avowal and its Absence (16:39)</li></ul><p><br /></p><p><br /></p><p>More info, transcripts, and references can be found at <a href="https://ethical.fm" rel="ugc noopener noreferrer" target="_blank">ethical.fm</a></p>
44 total episodes available
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