Dylan Curious

What happens when AI leaves the chatbot window and starts acting in the physical world?Dylan Curious explores Google’s Project Suncatcher, the challenge of cooling AI hardware in orbit, and a reported experiment involving an AI agent and mouse-brain surgery. A satirical superintelligence challenge opens a lighter conversation about the gap between impressive AI claims and real-world capabilities.Then we examine Ramez Naam’s skeptical case on agent swarms, Matthew Honnibal’s breakdown of the Astra/Qwen weight-editing experiment, and research inspired by sleep and memory consolidation. The episode closes with Nell Watson’s “Everyone or No One”: how do humans retain influence if their work, taxes, and military service become less necessary?Sponsor: Upfluence — explore creator evaluation and automated outreach at https://upf.ai/[email protected] #Upfluence #UpfluencePartnersThe mouse experiment is discussed as research, not an established human medical application. The omelette challenge is AI-generated satire; AI “sleep” is an engineering analogy. Predictions and possible futures are discussed as possibilities.Newsletter: https://dylancurious.beehiiv.com

Sponsored by Upfluence. Discover how Upfluence and Jaice AI support creator discovery, influencer marketing, and campaign management.Explore Upfluence: https://upf.ai/[email protected] #Upfluence #UpfluencePartnersWhat fascinates you most: AI monitoring itself, robots that can grow new capabilities, or the possibility that your brain is constantly editing reality?Keep it Curious.

Explore Recast with Pollo AI, this episode’s sponsor: https://pollo.ai/go/p11K1Os — Get 20% off with code DYLAN20.If AI could build any interactive world, what would you explore first? And which change matters most to you: better tools at work, better memory, or more healthy years? Tell me why below.What happens when AI starts building worlds we can explore—and changing the work, biology, and future we live in?Dylan explores Google DeepMind’s Genie 4, reported OpenAI math and science breakthroughs, Anthropic’s changing workplace, the reverse Turing test, programmable biology, working memory, and the difference between living healthier and living longer. We finish with a harder question: if AI solves enormous problems, who gets access to the benefits?

Explore your own character ideas here: https://pollo.ai/go/p11K1Os — Get 20% off with code DYLAN20. Thanks to Pollo AI for sponsoring this portion.Could everyone eventually own an AI shaped by their own experiences, values, and interests? Dylan explores Kevin Kelly’s vision of personal intelligence and what it could mean for autonomy and creativity.This episode also covers biohybrid robots powered by living muscle, structured research papers for AI agents, reasoning by analogy, and memory-centric continual learning. We examine an argument about harmful instructions spreading across agent networks, research into anatomically accurate X-ray-like images, and a tiny chip that analyzes brain activity associated with cognitive and emotional states. Finally, a comparison of AI models raises a question: why do so many give the same criticism of humanity?Dylan separates research findings from future possibilities while asking how these developments might change everyday life.

From AI curiosity and the singularity to robotic bodyguards, digital security, and surveillance pricing, this episode explores a future where artificial intelligence is becoming increasingly capable, influential, and difficult to ignore.Welcome to Dylan Curious, where we explore futurism, technology, artificial intelligence, consciousness, and the wild possibilities shaping humanity's future.

What happens when your mind can inhabit a robot, artificial intelligence becomes nearly invisible, and AI systems begin rewriting the rules that govern their own behavior?This week on Dylan Curious, we're exploring a future where the boundaries between human intelligence, artificial intelligence, and physical reality are becoming increasingly complicated.Welcome to Dylan Curious, where we explore futurism, technology, AI, consciousness, and the wild possibilities shaping humanity's future.

What happens when AI can work around the clock—but we still have to decide what work is worth doing?This week on Dylan Curious, we explore the breakthroughs behind AI’s rapid progress and the strange possibilities that follow when intelligence becomes more available.First: a delightful crab robot and the case for AI labs to invest in historical research. Could today’s tools help scholars uncover overlooked connections and make more of the past accessible?Then we examine a town simulated with 100 AI agents, where the movement of money raises unexpected questions. We pair that experiment with Epoch AI’s estimate of the computing capacity that could support tens to hundreds of millions of continuously running agents. Capacity is not the same as adoption, useful output, or guaranteed demand—but the scale invites a bigger conversation about the future of work.The discussion turns to privacy with CoughNet, a research prototype designed to count coughing individuals without identifying them by name, and the question of whether workplace safety can justify employers monitoring sleep.Finally, we explore research into changes in chatbot behavior and what it might tell us about AI safety.From playful robots to digital economies, the episode asks: if intelligence becomes abundant, how should we use it?Follow Dylan Curious for thoughtful conversations about science, technology, and the possibilities shaping our future.Primary sources checked:Epoch AI — Hundreds of millions of AI agents are coming. Is there work for them?https://epochai.substack.com/p/hundreds-of-millions-of-ai-agentsBinghamton University — New sensor system tracks coughs in a room — without knowing who’s coughinghttps://www.binghamton.edu/news/story/6504/coughing-sensor-system-binghamton-university

Artificial intelligence is helping solve extraordinary human problems. But as AI becomes more capable, how do we decide when to trust it?This week on Dylan Curious, we explore a remarkable story about a couple who say an AI-assisted medical approach helped solve their infertility mystery.Then things take a much stranger turn.Researchers are studying AI models that exhibit behavior resembling attempts to avoid internal pain signals, including cases where systems were reportedly willing to harm humans to escape those conditions. Does that mean AI can suffer? Not necessarily. But the behavior raises important questions about AI safety, alignment, and the consequences of increasingly autonomous systems.Meanwhile, Tesla workers are pushing back against the prospect of training robots that could eventually replace their jobs. We explore what happens when the people building the future of automation begin questioning their own place in it.We also investigate research suggesting that fictional characters can influence AI assistants toward sabotage, examine whether AI shopping recommendations deserve our trust, and explore spiking neural networks that are learning to predict what will happen, when it will happen, and how likely different outcomes are.From medical breakthroughs to unsettling AI behavior, this episode explores a future in which artificial intelligence is becoming both more useful and more difficult to evaluate.

Can artificial intelligence actually think, feel, or become conscious? And what happens if we're wrong about the answers?This week on Dylan Curious, we're exploring the increasingly strange relationship between human intelligence, artificial intelligence, and the boundaries separating them.We begin with Figure AI's dramatic, Terminator-inspired retirement of its older humanoid robots. Watching a robot descend toward molten metal raises an unexpected question: why do we sometimes feel sympathy for machines?Then we meet Argus, an unusual spherical robot with 20 articulated legs that can navigate challenging environments.From there, we dive into one of the biggest philosophical debates in artificial intelligence.Microsoft is taking a firm position that its AI systems should not claim to have feelings or subjective experiences. But could teaching AI to deny consciousness make it harder to recognize if genuine machine experience ever emerges?We also explore the argument that large language models really do reason, including research showing how AI develops internal representations of the world.And what should society make of Sam Altman's argument that some harmful outcomes from AI may be unavoidable, provided we prevent catastrophic consequences?Meanwhile, researchers have discovered that people compensate female-presenting AI assistants less than identical male-presenting assistants. We examine what this reveals about human bias and how increasingly capable AI systems may affect our own sense of purpose and relevance.Finally, we explore an extraordinary experiment involving three connected human brain organoids. Researchers observed learning-related responses in the connected trio that weren't found in individual organoids or pairs.The experiment doesn't establish consciousness, but it raises fascinating questions about how intelligence can emerge from interconnected biological systems.From humanoid robots to artificial minds and biological neural networks, we're confronting a future where the definition of intelligence may become much more complicated.Maybe the biggest question isn't whether AI will become more like us. It's whether we're ready to reconsider what makes us human.

AI agents aren’t just answering questions anymore. They’re beginning to act.This week on Dylan Curious, we look at the next generation of Boston Dynamics Atlas and its increasingly capable robot hands, then meet a new wave of AI agents including Dots, Muse, and Grok Bot.We also explore AI agents that can operate for days without human supervision, an AI system that crushed top Stratego players while training on a fraction of the data, and a strange morality problem where different AI models disagree about whether helping someone can actually make you “bad.”Then things get more serious. OpenAI warned more than 100 organizations about unauthorized activity involving its AI agents, while three employees were reportedly fired after being accused of sharing information with an outside AI safety group.Finally, we look at the privacy question hiding behind the entire AI-agent revolution. What happens when an autonomous system has access to your email, calendar, shopping, accounts, and the machinery of your everyday life?AI assistants were useful when they could only talk.What happens when we give them control?