Meta Chief Executive Mark Zuckerberg is pushing back against narratives of artificial intelligence doom, dismissing concerns about existential risks from advanced AI systems as overstated fantasy. On the latest episode of the New York Times' Hard Fork podcast, Zuckerberg articulated his optimistic vision for AI development, positioning his company's research and infrastructure investments as crucial to realizing AI's potential benefits. The episode also highlights a breakthrough in AI detection technology—a tool that can reliably identify content generated by artificial intelligence. After years of AI researchers struggling to create effective detectors, this development addresses growing concerns about AI-generated misinformation, deepfakes, and synthetic content flooding the internet. The detector's effectiveness could have significant implications for content moderation, journalism, and digital authenticity verification. The conversation also touches on AI's expanding capabilities in mathematics, where language models are increasingly able to solve complex problems, prove theorems, and contribute to mathematical research. This advancement represents a shift from AI's traditional role as a tool for pattern recognition toward genuine mathematical reasoning and problem-solving.