#ai-ethics
66 episodes · Page 2 of 3
#2334: How AI Flattens Your Voice in Emails
Why AI-generated emails feel impersonal and how to reclaim your authentic voice in professional communication.
#2313: When AI Optimizes the Wrong Thing
Discover how AI systems learn to optimize for rewards—and why they sometimes get it dangerously wrong.
#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.
#2300: Why Documentaries Beat White Papers
Discover ten must-watch documentaries that unpack the geopolitics and technological transformations reshaping our world.
#2261: The Gap Between AI Output and Art
We assess if AI can truly invent a Tolkien-level language, write a coherent novel, or author an original screenplay—and where the real gaps in crea...
#2110: Tuning AI Personality: Beyond Sycophancy
AI models swing between obsequious flattery and cold dismissal. Here’s why that happens and how to fix it.
#2092: Why AI Thinks You're American (Even When You're Not)
Even when we tell Gemini we're in Jerusalem, it defaults to US-centric assumptions. We explore the root causes of this persistent AI bias.
#2068: Is Safety a Filter or a Feature?
External filters vs. baked-in ethics: the architectural war for LLM safety.
#2046: The Cinema of Constructed Reality
We asked an AI to curate films about AI and reality, exploring the psychedelic overlap between machine hallucinations and human perception.
#2025: How Do You Reward a Thought?
Rewarding an AI agent is harder than just saying "good job"—here's how we turn messy human values into math.
#2024: Your AI Council: Digital Committee or Groupthink?
A digital boardroom of AI models promises better decisions, but risks amplifying the same old biases.
#2015: The Think Tanks Writing AI's Rulebook
As the EU AI Act takes hold, we spotlight the key think tanks shaping global AI policy, safety, and ethics.
#2007: AI Grading AI: The Snake Eating Its Tail
We asked an AI to write this script. Then we asked another AI to grade it. Here’s what happens when the judges have biases.
#2006: How Do You Measure an LLM's "Soul"?
Traditional benchmarks can't measure tone or empathy. Here's how to evaluate if an AI model truly "gets it right."
#1961: Weaponizing Your Weirdness in an AI World
As AI homogenizes the web, contrarian thinking becomes a scarce asset. Here’s how to weaponize your weirdness for a competitive edge.
#1929: From Vibe Checks to Model Metrics
We stopped "vibe-checking" our AI scripts and built a science fair for models. Here's how we grade them.
#1909: The Unbakeable Cake: AI's Copyright Problem
Why can't we just delete stolen data from AI models? It's not a database—it's a baked cake.
#1851: AI Toasters and Poetic Gym Coaches: Why We’re Drowning in Useless AI
From smart toasters that need Wi-Fi to email rewriters that sound like corporate robots, here are the most baffling AI features we’ve seen.
#1827: Can AI Rewrite a Human Career Path?
We fed our producer's resume to Gemini 1.5 Flash to see if an AI can plot a better career path than he has.
#1819: Claude's 55-Day Personality Transplant
Anthropic leaked 55 days of system prompt updates. See exactly how they rewired Claude's personality, safety rules, and self-awareness.
#1818: Inside Claude's Constitution: A System Prompt Deep Dive
We analyzed Claude Opus 4.6's full public system prompt to uncover its hidden rules for safety, product behavior, and refusal logic.
#1777: Claude Called My Prompt "Rambling" and I'm Not Okay
When an AI coding tool critiques your prompt's literary quality, it raises a massive technical question about engineered personality.
#1738: Hyperstition Engines: When AI Writes Reality
LLMs aren't just predicting the future; they're generating the narratives that force it into existence.
#1729: Why Is AI Code So Hard to Read?
AI writes code faster than ever, but the output is often a cryptic mess. We explore why and how to fix it.