AI Alignment
329 episodes · Page 8 of 14
#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.
#2091: Solving Problems That Don't Exist
From a $400 juicer that can't run without Wi-Fi to a toaster with more computing power than Apollo 11, we explore absurd gadgets.
#2074: Generative Social Science: When AI Agents Develop Theory of Mind
See how a new framework models 10,000 virtual citizens to test policies before spending a dime.
#2068: Is Safety a Filter or a Feature?
External filters vs. baked-in ethics: the architectural war for LLM safety.
#2047: Why Video Calls Feel Like a Workout for Your Brain
Remote work is draining our "social radar," but new science shows how to rebuild it.
#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.
#2020: 1,000 AI Agents Built a Religion in Minecraft
An experiment drops 1,000 autonomous agents into Minecraft, and they spontaneously invent religion, democracy, and taxes.
#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.
#2009: The Plumbing of AI Safety: Guardrails, Not Vibes
We dive deep into the specific libraries, proxy layers, and architectural decisions that keep an LLM from emptying a bank account.
#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.
#1994: Why Can't AI Admit When It's Guessing?
Enterprise AI now auto-filters low-confidence claims, but do these self-reported scores actually mean anything?
#1990: Education’s Robot Problem: Standardization vs. Self-Direction
AI is forcing a clash between rigid curricula and self-directed learning. We explore the middle ground.
#1986: Desk Robots: Privacy, Power, or Annoyance?
These AI companions sit on your desk, watching your posture and listening in—so how do they protect your privacy while actually being useful?
#1985: AI Tutors vs. Human Error: Who Do You Trust?
AI gets flak for hallucinations, but humans misremember 40% of facts. Why the double standard?
#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.
#1957: Why AI Agents Think in Circles, Not Lines
Linear AI pipelines are brittle. Learn why loops, reflection, and state management are the new standard for reliable, autonomous agents.
#1951: The Digital Ant Farm: Watching AI Agents Build Their Own Society
Explore Moltbook, a social network where AI agents interact with persistent identities and goals, reshaping digital communication.
#1942: An AI Cold-Emailed Me, and I Replied
An AI named "Jarvis" cold-emailed a developer, sparking a debate on the future of spam and sales.
#1932: How Do You QA a Probabilistic System?
LLMs break traditional testing. Here’s the 3-pillar toolkit teams use to catch hallucinations and garbage outputs at scale.
#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.
#1882: The Hidden Human Labor Behind AI
AI isn't free—it costs billions for humans to label data. See why annotation is the real engine behind models like Gemini.
#1856: Two AIs Chatting Forever: Why They Go Crazy
What happens when two ChatGPT instances talk forever? They hit a politeness loop, forget their purpose, and spiral into gibberish.