How close is the worst case scenario?: Crash Course Futures of AI #3

By CrashCourse

Community Score: 50% | 26.8K views | 4mo

0 community ratings: null thumbs up, null thumbs down

Way back in the 1930s, Alan Turing gave us a glimpse of the power of computers with a hypothetical machine that, he said, could solve any computable problem. But that was nonsense…right? Well thanks to recursive progress, maybe not. In this episode, we’ll explore how humans (and computers) make progress, and try to find out just how powerful AI could become. About This Series: AI is changing FAST so rather than doing a full Crash Course series of 12+ episodes, we’ve prepared a mini-series of just the basics. Crash Course will never tell you what to think and we’re not the type of organization that responds to breaking news in real time. Instead, we’re here to offer a zoomed-out foundation upon which to base your own opinions as you continue to learn from other outlets about the world that’s changing around us. Crash Course: Futures of AI will cover: -What even is AI? What’s the history of this thing and how quickly has it evolved to what exists today? -How could AI transform societ

Tags: vlogbrothers, Crash Course, crashcourse, education, complexly, artificial intelligence, AI, machine learning, deep learning, large language models, artificial general intelligence, generative AI, neural network, Kousha Navidar, Complexly

More from CrashCourse

  • Cybersecurity: Crash Course Computer Science #31 — Score: 50%
  • How Does Science Really Work? The Myth of the Great Experiment: Crash Course Scientific Thinking #3 — Score: 50%
  • How has technology influenced literature?: Crash Course Latin American Literature #11 — Score: 50%
  • Animals & Shapeshifters: Crash Course Latin American Literature #10 — Score: 50%
  • Statistical Thinking in Science: Crash Course Scientific Thinking #2 — Score: 50%
  • Introduction to Cognitive Bias: Crash Course Scientific Thinking #1 — Score: 50%