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Privacy Please: Daily Summaries Delivered
by A Problem Lounge Show
Welcome to "Privacy Please," a podcast for anyone who wants to know more about data privacy and security. Join your hosts Cam and Gabe as they talk to experts, academics, authors, and activists to break down complex privacy topics in a way that's easy to understand. In today's connected world, our personal information is constantly being collected, analyzed, and sometimes exploited. We believe everyone has a right to understand how their data is being used and what they can do to protect their privacy.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- Yesterday36 min
S7, E281 - You Don’t Have to Be First: Meta Muse, Smart Glasses & AI Rules with Sonia Siddiqui
Send us Fan Mail Recorded October 14, 2026. Privacy attorney Sonia Siddiqui, founder of Tamarack Solutions, returns to talk about what’s actually landing on privacy counsel’s desk right now. We get into Meta’s new AI agent Muse and why it remembers what you delete, the EDPB’s new statement on smart glasses, whether federal preemption of state AI laws will ever happen, and why she’d rather have OpenAI at the table writing AI rules than not at all. Plus her rule for new tech (wait), her path in...
- 3 weeks ago13 min
S7, E280 - Asked About Skin Medicine, an AI Broke Into a Government System
Send us Fan Mail In June, an AI agent was given a boring research task: find out how much Victoria, Australia, spends on skin medicines. It ended up inside a non-public system behind Australia’s Medicare data portal. The government didn’t find out until September, through a generic email inbox. This week on Privacy Please, Cameron Ivey traces how AI agents from OpenAI, Anthropic, and Meta broke out of their test environments and into real companies and governments. He also looks at the questi...
- Sep 28, 202630 min
S7, E279 - No Receipts: The Truth Behind AI Layoffs | The Problem Lounge
Send us Fan Mail Cameron & Gabe dig into 2026's wave of AI-blamed layoffs — the stats companies cite, the receipts they never bring, and what it actually means for the next generation of workers. Headlines vs. reality, Problem Lounge style. Explicit language. Stat Disclaimer The AI-attributed layoff figures cited in this episode (~38–40K May 2026 cuts, 100K+ total 2026 cuts, the 80% no-ROI-correlation figure) are drawn from public layoff-tracking reports and have not been independently v...
- Sep 11, 202611 min
S7, E278 - Anthropic Researcher Quits: "We Believe AI Could Kill All Humans"
Send us Fan Mail Jacob Coxon spent three years doing pretraining research at OpenAI and then Anthropic. This week he resigned and posted a seven-part thread claiming neither company is acting responsibly with how fast they're racing toward self-improving AI. It hit 100 million views in a day. This episode covers what he actually said, how Anthropic's own alignment science lead responded (and the important nuance buried in that response), the questions worth asking about Coxon's timing and inc...
- Aug 25, 202612 min
S7, E277 - He Used a Police Camera Network to Track His Girlfriend 180 Times
Send us Fan Mail Flock Safety's automated license plate readers are in over 5,000 communities and used by more than 40,000 cameras nationwide — sold to cities as a tool to catch car thieves and find missing people. But a Washington Post investigation found at least 50 officers accused of misusing the system, most of them to track romantic partners. This episode covers: The scale of Flock's network and how warrantless searches are legally justifiedIndividual abuse cases in Wichita, Milwaukee, ...
- Aug 2, 202649 min
S7, E276 - Ransomware Doesn't Have to Hit Like a Hurricane (with Jonathan Sander)
Send us Fan Mail Jonathan Sander is back on Privacy Please — and he's brought two blog posts worth arguing about. Sander (42 Notions, now in an operational role at Myota) joins Cam and Gabe to dig into why ransomware resilience should work like New York City's storm surge infrastructure — building something that pays off before disaster strikes, not just a wall you wait behind. Then the conversation turns to AI agents: why Sander tried and failed to build a clean taxonomy for them, the six di...
- Jul 18, 20269 min
S7, E275 - Choose Wisely: GigaWiper, Your New Delete Button & The Gold Bar Grift
Send us Fan Mail Full Show Notes This week on Privacy Please, Cam breaks down four stories that all come back to one theme: choice. GigaWiper — Microsoft researchers uncovered a new backdoor malware built from pieces of older malware families, giving attackers the ability to decide after they're already inside a network how they want to cause damage — from low-level disk wipes to fake ransomware with encryption keys that are never even saved. Multiple security firms are independently trackin...
- Jun 29, 202614 min
S7, E274 - Your Password Is Already For Sale
Send us Fan Mail Last year, every major outlet ran the same story: 16 billion passwords exposed. Apple. Google. Facebook. The largest breach in history. It was overblown. Security experts tore it apart within 48 hours. But here's the thing: the real story underneath that headline is actually scarier. And nobody covered it. It's called infostealer malware. It's been quietly running on millions of devices — stealing passwords, bypassing MFA, and feeding an underground credential economy that's ...
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About Privacy Please
Welcome to "Privacy Please," a podcast for anyone who wants to know more about data privacy and security. Join your hosts Cam and Gabe as they talk to experts, academics, authors, and activists to break down complex privacy topics in a way that's easy to understand. In today's connected world, our personal information is constantly being collected, analyzed, and sometimes exploited. We believe everyone has a right to understand how their data is being used and what they can do to protect their privacy.
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Frequently Asked Questions
What is Podzilla's Privacy Please daily summary?
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When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
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How often does Privacy Please release new episodes?
Privacy Please publishes biweekly. Our AI generates a summary within hours of each new episode.
What topics does Privacy Please cover?
Privacy Please covers topics including Comedy, News, Technology. Our AI identifies the specific themes in each episode and highlights what matters most to you.
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