AI Scientist Warns Tom: Superintelligence Will Kill Us… SOON | Dr. Roman Yampolskiy X Tom Bilyeu Impact Theory

This podcast is sponsored by Talkspace. Last year, I went through many different life changes. I needed to take a pause and examine how I was feeling in the inside to better show up for the ones who need me to be my best version of myself. When you're navigating life's changes, Talkspace can help. Talkspace is the number one rated online therapy, bringing you professional support from licensed therapists and psychiatry providers that you can access anytime, anywhere. Living a busy life, navigating a long distance relationship, becoming a first step father, Talkspace made all of those journeys possible. I could speak with my therapist in the office. I could speak with my therapist in the comfort of my home. I was never alone. Talkspace works with most major insurers, and most insured members have a $0 co pay. No insurance. No problem. Now get $80 off your first month with promo code space 80 when you go to talkspace.com. Matched with a licensed therapist today at talkspace.com. Save $80 with code space 80 at talkspace.com. In 2023, nearly half of all AI researchers said advanced AI carries at least a ten percent chance of human extinction and yet we're speeding up not slowing down. My guest today, doctor Roman Yampolsky is one of the leading voices in AI safety and when I asked him for the odds that super intelligence wipes out humanity, he said it's high. Once AI becomes smarter than humans in every domain, we will not be able to control it. In today's episode, we talk about the shocking timeline AGI is on, why superintelligence may be much closer than people think, and why the survival of our species could come down to decisions being made right now. If you wanna understand the most important technological threat in human history as well as our biggest opportunity, Jampolsky. Where is ChatGPT at right now? Do you consider ChatGPT to be artificial general intelligence? I doubt you'd call it superintelligence, but would you classify it as that or do you still think we're a ways away from something that would qualify? So that's a great question. If you ask someone maybe twenty years ago and told them about the systems we have today, they would probably think we have full AGI. We probably don't have complete generality. We have it across many domains, but there are still things it's, not very good at. It doesn't have permanent memory. It doesn't have ability to learn additional things well after it's already been pretrained and deployed. It can do a certain degree of learning, but it's still limited. It doesn't have same capabilities as humans do throughout lifetimes. But we're getting closer and closer to where those gaps are closed, and, it's starting to be productive in the means which are really interesting and important. Science, math, engineering, where it starts to make novel contributions, and now top scholars are relying more and more on it in their research. …