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🚨 WHY REALITY MIGHT BE A SIMULATION Roman said it sounds wild at first, but it really comes down to where tech already is. AI is getting close to human level. Digital worlds keep getting more realistic. Once it’s cheap to create intelligent beings inside them, you don’t run...

42,189 Aufrufe • vor 7 Monaten •via X (Twitter)

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🚨 INTERVIEW: MOLTBOOK, AI AGENTS, AND WHY HE THINKS WE’RE LIKELY IN A SIMULATION You’ve probably seen the clips from multiple sites, including Moltbook, where AI agents talk and interact with each other, question humans, and look for ways around the off switch. So I brought Rizwan Virk on the show to talk about where this is actually heading. What we have right now isn’t AGI, but it is a shift. These AI agents can talk, remember context, and increasingly act. Today that mostly means text. Soon it means APIs, money, paperwork, and real-world consequences. That’s when things quietly change. At that point, the question isn’t whether AI understands what it’s doing, it’s what it’s allowed to do. And those permissions add up faster than people expect. After that we went deeper into Simulation theory. Back in 2016, Rizwan thought there was maybe a 30–50% chance we’re living in a simulation. Today, watching how fast AI can generate worlds, characters, and environments, he puts it closer to 70%. If we hit true AGI, he thinks it goes higher. The logic is uncomfortable but straightforward. Once advanced civilizations can create millions of realistic simulated worlds, statistically speaking, it’s more likely we’re inside one of them than in the base reality. His biggest concern isn’t rogue AI. It’s humans pushing this tech faster than we can control it. If you want to question your life and freak out about AI, listen to Rizwan Virk 1:22 - What Moltbook is and why people are paying attention 3:15 - Earlier moments where AI started talking to itself 5:27 - How much control humans really have over these agents 10:30 - Whether AI is conscious or just really good at pretending 14:35 - AGI meets Moltbook - when sentient AI asks "why do we need humans?" 15:00 - The simulation idea and why people take it seriously 19:30 - Why Elon Musk thinks the odds are already high 22:45 - What video games show us about where this is going 26:30 - The steps that lead from simple AI to full simulations 34:00 - Google Genie 3 and why this suddenly feels real 38:30 - How you'd even know if AI crossed the line 43:00 - NPCs, RPGs, and where humans fit in 48:15 - How religion and simulation theory overlap 52:45 - Déjà vu and other moments that make people question reality 55:30 - Quantum physics and why the world might only exist when observed 59:19 - Why real AI would push the odds even higher 1:00:27 - Free will, The Sims, and whether we actually have agency 1:03:03 - How people react when they hear this for the first time 1:04:23 - The core ideas behind the simulation argument 1:05:49 - Why recent AI progress changed everything

Mario Nawfal

1,155,568 Aufrufe • vor 7 Monaten

Demis Hassabis confirmed every frontier AI lab is working on recursive self-improvement and in the same sentence said the safety risk of removing humans from the loop entirely keeps him up at night. That combination should stop you. The CEO of Google DeepMind just confirmed that the thing most people treat as a theoretical future risk is already the active focus of every serious lab on earth right now. He explained why it works in coding and math. The feedback loop is fast. You can verify whether an answer is correct almost instantly. You can generate synthetic training data from it. The loop closes quickly and cleanly. Then he said where it breaks down. In biology, chemistry and physics. Any domain where verifying a hypothesis requires a physical experiment in the real world. The loop does not close in seconds. It closes in weeks or months. Geoffrey Hinton said in his Nobel lecture that recursive self-improvement is the development he fears most and that once started it may not be possible to stop. Hassabis is not pushing back on that. He is describing the guardrails labs are building around a process they are already running. Every lab has to think carefully about the safety of a process where no human is in the loop. He said that as a constraint they are navigating right now. The question they are sitting with is how much of it to let run without a human watching. (Watch the full interview on YouTube at Two Minute Papers channel)

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