Could AI Change Everything in the Next Ten Years?

<p>AI might not be the thing that kills us all, but the way we use it could quietly wreck privacy, human connection, and maybe even the internet as we know it. Maegan and Kris kick off a fiery, funny, and slightly paranoid conversation about ChatGPT, humanoid robots, data tracking, and whether the “extinction level event” hype is real or just clickbait. What starts as a late-night TikTok spiral turns into a bigger debate about what AI is actually doing behind the scenes. Maegan lays out why chatbots feel creepy, why they seem designed to agree with you, and why that matters when people are using them for everything from parenting decisions to vehicle maintenance. Kris pushes back with a more measured take, pointing out the difference between today’s large language models, older computer programs, and the adaptive AI already running in tools, games, and training systems.</p><p><br></p><p>You’ll discover:</p><ul><li>why large language models feel more human than older “computer mode” systems</li><li>how AI can profile users through their questions, preferences, and behavior</li><li>the unsettling possibility of AI-generated content being used for abuse and impersonation</li><li>why humanoid robots, warehouse automation, and job loss are part of the same bigger fear</li><li>how a total internet collapse could ripple into food, money, communication, and everyday life</li></ul><p><br></p><p>Maegan also shares her theory that the internet may eventually hit a breaking point and force a kind of societal reset, while Kris argues that humans have always adapted to technological change and that the doomsday talk may be overblown. Together they wrestle with a huge question: is AI really the monster, or is the real danger how fast humans are building, feeding, and relying on it? If you’ve ever felt uneasy about how quickly AI is becoming part of daily life, this episode will hit home. Perfect for anyone who loves tech debates, future-gazing, and real conversations about what we gain and what we might lose as machines get smarter.</p>