Stanford AI Researcher Exposes The Truth About Emergent Abilities!

An interview with computer scientist and AI researcher Rylan Schaeffer about his time as an intern at Google DeepMind and his current research challenging claims of sharp and unpredictable emergent abilities in AI large language models (LLMs). We talk about ChatGPT, interpretable machine learning, hierarchical reinforcement learning and surprising things that happen when you let intelligent machines figure out how their world works without giving them any clues. Stay tuned until the end when we explore how everyday people like you and me might hypothetically stop the breakneck progress of AI in order to spare enough time to solve the AI safety and AI alignment problem. ▶️ Read the article on Forbes.com: https://rb.gy/0vdng ▶️ Buy me a coffee ☕️ https://buymeacoffee.com/andreamorris ▶️ Subscribe here: https://rb.gy/qqo0i Subtitles [CC] have been proofread by a human :) Interview edited for time. Integrity of expert commentary respected and preserved. ___________________ ▶️ Check out more of my articles on Forbes: https://rb.gy/pstfz ___________________ I’m Andréa Morris, an interdisciplinary researcher dedicated to advancing the field of investigative journalism, contributing more than 80 science and tech news stories to Forbes. My work explores complexity science, theory of mind, consciousness, intelligence, inspiration, intuition, motivation, productivity, creative problem-solving and the exploration of diverse intelligence—substrate independent. This channel features documentary style interviews with subject matter experts, highlighting research that informs my reporting. It also examines the philosophy underpinning scientific paradigms, challenging assumptions and addressing human exceptionalism in the context of generative AI, LLM, AGI, machine learning, exponential technology, and credible accounts of UAP. At the heart of this channel is a commitment to continual learning, critical thinking, and the joy of lifelong learning.