AI Bias
89 episodes · Page 2 of 4
#4492: What Makes a Container Robot-Ready?
The hidden specs that turn a plastic box into something a robot can pick, read, and move at industrial speed.
#4268: When AI Trains on AI: The Model Collapse Problem
What happens when AI trains only on AI-generated content? The answer is model collapse — and it's already happening.
#3853: When Your Name Belongs to Someone Famous
What happens when your name is algorithmically hijacked by a famous or infamous stranger?
#3852: The Hidden Workforce Behind AI's Intelligence
Behind every "intelligent" AI system are millions of workers in Kenya, India, and the Philippines doing repetitive tasks for poverty wages.
#3773: Mossad's Secret Influence Branch: 11-Year Photo Trap
A secret Mossad unit uses AI personas and decade-old photos to undermine Iran from within. One photograph took down a minister.
#3724: How the Pope's Letter on AI Actually Works
Unpacking the Pope’s new encyclical on AI: what it is, how Catholics interpret it, and why it matters beyond the Church.
#3659: Late-Stage Capitalism vs Post-Capitalism: What Do These Terms Actually Mean?
Late-stage capitalism" is a mood, not a prediction. We break down where these terms come from and what they actually mean.
#3649: When Wikipedia Feels Less Reliable Than AI
One reader explains why he now trusts AI more than Wikipedia on contested topics like Israel and Zionism.
#3595: How DeepSeek Feels More Open Than Western AI
Why Chinese AI models sometimes feel less censored on American political topics than American models do.
#3593: Is the Far-Right a Movement or a Media Effect?
How a Belfast attack reveals the machinery stitching isolated crimes into a narrative of imported violence.
#3422: How Rival Labs Reverse-Engineer a New AI Model in Hours
Inside the organized frenzy when a closed-source model drops — and how competitors map its every weakness.
#3129: Holden Caulfield vs. the War Briefing
What Salinger’s phoniness detector reveals about how the war with Iran is being reported.
#3101: The Hidden Craft of Custom Picture Framing
What actually happens inside a $400 frame — and why cheap frames can destroy your art in years.
#3036: Plainclothes Police vs Facial Recognition: Inside London's Protest Ops
How do plainclothes officers actually operate? From covert earpieces to unmarked vans, here's what happened at London's May 16 protests.
#3017: Why Every Restaurant Has 4.6 Stars
Google Maps ratings are broken. Here's how four mechanisms inflate them — and what actually works instead.
#2800: The Two Meanings of Industrial Design
Industrial design is a profession. The "industrial look" is something else entirely. Here's where they split.
#2453: Escaping the AI Doom Loop in Hiring
What if job matching was built on desire, not desperation? How one signal outperforms 100 applications.
#2411: Are Political Bias Benchmarks Actually Measuring Anything?
Why the Political Compass Test fails, and what researchers are building instead to actually measure model bias.
#2410: How Researchers Actually Measure Censorship in Chinese LLMs
Beyond headlines: the actual benchmarks, methodologies, and pitfalls in detecting political refusal in Chinese language models.
#2409: When AI Cheats on Cultural Knowledge
Five benchmarks that reveal how AI systems fail at cultural knowledge — and what their methodologies tell us.
#2373: How Facial Recognition Maps Your Face—And Your Rights
The same AI that organizes your photos can track you in a crowd. How does facial recognition work—and why is it so hard to evade?
#2337: When Diarization Fails Silently
Discover how PyAnnote and other tools tackle the critical task of identifying "who spoke when" in audio—and why it’s harder than it sounds.
#2309: Blind Ranking AI's Best Podcast Scripts
How do 15 AI models handle controversial podcast prompts? We rank their scripts blind and reveal the surprising winners.
#2308: When AI Forecasts Collide: Geopol Model Divergence
Five AI models forecast the Iran-Israel-US crisis — and their disagreements reveal surprising insights about geopolitical reasoning.