AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

A weekly report on the consumer-protection enforcement actions the Federal Trade Commission published this week, read from the Commission's own announcements. Covering 2026-07-27 – 2026-08-02.

In this episode:
• FTC and States Act Against Hims & Hers for Deceptive and Unlawful Privacy Practices — https://www.ftc.gov/news-events/news/press-releases/2026/07/ftc-states-act-against-hims-hers-deceptive-unlawful-privacy-practices
• FTC Takes Action Against Elite Events for Bypassing Ticket Purchase Limits in Violation of Better Online Ticket Sales Act — https://www.ftc.gov/news-events/news/press-releases/2026/07/ftc-takes-action-against-elite-events-bypassing-ticket-purchase-limits-violation-better-online

This show reports on published FTC actions. It is not legal advice.

This episode was generated with AI by Demades. Every item above links to the primary source document it is based on.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

A weekly report on the drug and biologic approvals the U.S. Food and Drug Administration published this week, read from the FDA's own application records and approved labels. COMPLETENESS IS THE PRODUCT: every supplied application gets its own spoken segment, including the routine ones and the ones whose label was not published yet. A listener must be able to treat the episode as the week's full record. If there is more material than time, compress how much you say about each application — never drop one, and never merge two applications into one segment unless the documents themselves show they share an approval letter. If you state a count of the week's approvals, it must equal the number of supplied documents; do not total up only the ones you found interesting. Name every application explicitly in its own segment: the brand name, the applicant, and the application number, spoken aloud. This is not optional for the thin ones — an application whose label has not been published yet is reported by NAME with the label noted as pending, never as an anonymous 'seventh entry'. Two applications may share one segment ONLY when the documents show they share an approval letter; a shared gap in our own record — both missing a label, both brief — is never a reason to group them. Reaching the right total while leaving a product unnamed is still an incomplete episode. Attribute to the FDA's record and the approved label — never to 'the brief', 'the supplied documents', or 'the materials'. The listener has no idea what those are. Say nothing about a company's size, prominence, market position, reputation or familiarity — not 'a major pharmaceutical company', not 'a household name', not 'a small biotech', not 'an industry giant'. The documents give you the applicant's name and nothing more about it, so the name is all you may say. The same limit applies to characterizing a product as significant, notable, long-awaited or minor: report what the record states about it and let the listener weigh it. Covering 2026-07-27 – 2026-08-02.

In this episode:
• NDA 219990 — Gwyn Lo (VIATRIS SPECIALTY) — FDA approval, 2026-07-28 — https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm?event=overview.process&ApplNo=219990
• NDA 220381 — NDA 220381 (FRESENIUS KABI USA LLC) — FDA approval, 2026-07-29 — https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm?event=overview.process&ApplNo=220381
• NDA 221094 — Qlonilik (CMP DEV LLC) — FDA approval, 2026-07-29 — https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm?event=overview.process&ApplNo=221094

This show reports on published FDA actions. It is not medical advice.

This episode was generated with AI by Demades. Every item above links to the primary source document it is based on.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

The 100-year arc of IBM — punch cards to mainframes to the PC it gave away to Microsoft — and what its near-death teaches about moats.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

You already live here. You know where the bars are. The problem isn't the city — it's that the friend-making machinery that ran automatically during your first year in Austin quietly switched off, and nobody replaced it. This episode is the replacement: seven things you can actually join, with a start time, a room, and the same faces in it next week.

AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

You already live here, so we're assuming you've been to Barton Springs and you've walked the trail around the lake. This one is the layer underneath: the months of the year the pool gate charges nothing, the swim before the lifeguards clock on, the rule that says you may paddle Lady Bird Lake but may not swim in it, the four separate docks you can launch from, the indoor half of the map, and the running coach you'd filed as a shoe shop.

AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

You already live here, and you've already been to a show. This one is the map you probably don't have: the rooms that book the same act every week so you can stop checking listings, the doors that cost nothing if you turn up early, the venues that will let you in before you're twenty-one, and the record stores that work as part of the scene rather than a gift shop for it.

AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

You already live here. You already know the food is good. This one is about the part nobody audits: the rotation that quietly shrank to three places, the seven in the morning window you've never used, why the trailers cluster the way they do, and the grocery habit that is actually moving your month.

AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

You already live here. This one is about moving inside Austin — the lease that ends, the roommate who leaves, the job that moved, the first place that turned out to be a mistake. What rent actually costs right now, the free service almost nobody uses and why it's legally allowed to be free, when a locator is the wrong tool, and the week-long gap between two leases that nobody plans for.

AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

From a difficult Chicago childhood and two dropped-out college attempts, Larry Ellison built Oracle into one of the world's most valuable technology companies by commercializing an academic database innovation that IBM hesitated to pursue. The episode explores how he turned the least glamorous product in software—databases—into extraordinary wealth and influence, the relentless competitive drive that fueled his growth through acquisition and rivalry, and the lasting impact of a man who understood that unsexy plumbing, not shiny products, is where real power sits in the modern economy.

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AI-generated podcast — the hosts and voices are synthetic, not real people. Made with AI by Demades.

How did one of America's most powerful bankers end up publicly pushed out of the company he helped build—and why might that humiliation have been the making of him? This episode traces Jamie Dimon's arc from protégé to outcast to the architect of JPMorgan Chase's fortress balance sheet, examining the fifteen years he spent under Sandy Weill's shadow, his comeback rebuilding a broken Midwestern bank, and his controversial role as the steady hand during the 2008 financial crisis. Along the way, the hosts grapple with a harder question: whether we should trust concentrated financial power in careful hands, or whether concentration itself is the problem—a tension the London Whale scandal and his own occasional misjudgments refuse to settle.

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