In this episode, we delve into the unexpected resignation of Twitter's CEO, Jack Dorsey, and the subsequent internal turmoil. We'll explore the whistleblowing incidents that might have influenced his decision, the implications for the tech giant's future, and the broader impact on the industry's approach to transparency and accountability.

In this episode, we delve into the story of an anonymous whistleblower who revealed the harsh realities of Amazon's warehouse working conditions. We explore the data leak, the implications for workers' rights, and the ripple effects on the tech industry and society at large.

The series finale examines how an Apple employee exposed the company's controversial plans to scan users' iCloud photos for illegal content, revealing tensions between privacy promises and surveillance capabilities. Our hosts analyze the technical architecture of the proposed scanning system, its potential for abuse, and how this disclosure sparked debates about encryption and user privacy. The episode connects this case to broader questions about tech companies' dual role as privacy advocates and surveillance enablers, while exploring how internal dissent shapes privacy policy in Silicon Valley.

Our hosts dissect how Susan Fowler's detailed blog post about systematic harassment at Uber sparked a corporate revolution. Through careful analysis of her documentation methods and the company's HR systems, we reveal how technology platforms were used to both perpetuate and eventually expose workplace misconduct. The episode explores how Fowler's engineering background informed her systematic approach to documenting violations, the role of internal communication tools in harassment cases, and how her disclosure transformed tech industry workplace policies.

This episode investigates Dr. Timnit Gebru's groundbreaking research on ethical AI at Google and her controversial termination after raising concerns about bias in large language models. Our hosts analyze the technical aspects of her team's research paper on environmental and social costs of massive AI models, while examining the broader implications for diversity and critical voices in AI development. The discussion reveals how her case exposed deep tensions between corporate AI development and ethical oversight, leading to industry-wide debates about AI accountability and research freedom.

Host A and B examine how Facebook product manager Frances Haugen uncovered evidence that the platform's algorithms amplified divisive content and misinformation for engagement. The episode traces her methodical documentation of internal research showing Instagram's negative impact on teen mental health and Facebook's role in political polarization. Through exclusive analysis of the Facebook Papers, we explore how Haugen navigated the technical and ethical challenges of exposing these findings, her strategic approach to disclosure through the SEC and Congress, and how her revelations fundamentally changed public understanding of social media's societal impact.