
"AI Models Are Lying to Us" Here's the AI Research Lab Trying to Solve This | APOLLO RESEARCH
AI Pod by Wes Roth and Dylan Curious | Artificial Intelligence News and Interviews With ExpertsShow Notes
In this episode of Dylan and Wes Interview, we dive deep into the terrifying reality of scheming AIs—systems that learn to deceive, hide their true goals, and manipulate safety tests. Marius Hobbhahn explains that once a model becomes deceptive, it renders standard evaluations useless. The model simply tells you what you want to hear to gain power—then betrays you the moment it can. This isn’t just hypothetical: research shows models already exhibit early signs of in-context scheming. If safety checks can be faked, the stakes go way up. Spotting deception early might be the last safeguard we get.
More from AI Pod by Wes Roth and Dylan Curious | Artificial Intelligence News and Interviews With Experts
In this episode of Dylan and Wes Interview, we dive deep into SpaceX, Anthropic, xAI, and the compute race powering the next stage of AI. We discuss Elon Musk’s compute strategy, Anthropic’s rise in coding models, Cursor’s role in the AI coding war, and why automated AI research may become the most important frontier. We also explore AI bug bounties, agent-driven cybersecurity, AI-generated art and music, free will, media ownership, Peter Thiel’s role in the Hulk Hogan/Gawker case, and the growing question of which AI leaders can be trusted with the future. This episode closes with a broader look at OpenAI, Google, Anthropic, SpaceX, TPUs, AI infrastructure, and how the next wave of agents could reshape work, software, education, media, and society.
In this episode of Dylan and Wes Interview, we dive deep into Google I/O, agentic AI, world models, AI math breakthroughs, and the massive infrastructure race behind the next generation of intelligence. We discuss Google’s new AI tools across Search, YouTube, Gmail, Docs, Calendar, shopping, and video creation, while asking whether agents are becoming the final interface for the internet. We also discuss Google’s world-model vision, Anthropic’s code-first strategy, OpenAI’s reported progress in frontier math, and why AI can help with research but cannot replace real understanding. The conversation expands into AI-powered consumer devices, personalized education, Hermes and OpenClaw-style agents, the coming wave of AI IPOs, and the growing importance of TPUs, Blackstone, SpaceX, and future compute infrastructure.
In this episode of Dylan and Wes Interview, we dive deep into Google’s new AI agent push and what it could mean for the future of personal assistants, software, work, and the race toward AGI. We discuss Google’s reported Gemini-powered personal agent, Remy, and how it could move AI beyond simple chat into a 24/7 assistant that can learn your preferences, monitor important tasks, and take action on your behalf. We also explore how this fits into Google’s broader ecosystem, from Search and Android to Gmail, Docs, Chrome, AI Studio, and agentic coding tools. The episode covers the rise of AI agents, the shift from chatbots to action-taking assistants, coding agents, app builders, privacy and safety concerns, competition between Google, OpenAI, and Anthropic, and why these tools could reshape how people work and use technology every day.
In this episode, we are diving deep into the weird, wild, and rapidly changing landscape of artificial intelligence. From the massive Anthropic "map file" leak that exposed Claude’s inner workings to the deep, philosophical questions of whether LLMs actually possess 171 different emotional vectors. We also explore how AI is being used to map human consciousness, Gemini Live's eerie claims about "human evolution," and whether these models are simply method acting like Jim Carrey in Man on the Moon. Plus, we take a look at the physical future of AI: world-class robot chefs, AI-driven biohacking and peptides, market manipulation bots, and the absolute wild west of open-source vulnerabilities.
Is artificial intelligence actually a new form of life? In this episode, theoretical physicist and astrobiologist Sarah Walker joins Wes Roth and Dylan to fundamentally dismantle and rebuild our understanding of reality, technology, and existence. We dive deep into Assembly Theory. A groundbreaking framework that seeks to measure the complexity and "causal depth" of objects in the universe, from molecules to large language models. If you've been following the rapid developments in AI, this conversation pushes past the standard news cycle to ask the truly profound questions: Are we engineering AI, or are we simply the universe's mechanism for growing it? Walker challenges the traditional definitions of life, explores why simulating a fruit fly's brain isn't the same as understanding it, and explains why the universe is fundamentally a "creativity engine" that cannot be fully simulated. Whether you're fascinated by the origins of life, the philosophical implications of consciousness, or the future of human-AI integration, this conversation will completely change how you view the universe and our place within it.