#154 - Rohin Shah on DeepMind and trying to fairly hear out both AI doomers and doubters

#154 - Rohin Shah on DeepMind and trying to f...

Up next

Risks from power-seeking AI systems (article narration by Zershaaneh Qureshi)

Hundreds of prominent AI scientists and other notable figures signed a statement in 2023 saying that mitigating the risk of extinction from AI should be a global priority. At 80,000 Hours, we’ve considered risks from AI to be the world’s most pressing problem since 2016. But what ...  Show more

How scary is Claude Mythos? 303 pages in 21 minutes

With Claude Mythos we have an AI that knows when it's being tested, can obscure its reasoning when it wants, and is better at breaking into (and out of) computers than any human alive. Rob Wiblin works through its 244-page System Card and 59-page Alignment Risk Update to explain ...  Show more

Recommended Episodes

Spotlight: AI Myths and Misconceptions
Your Undivided Attention

A few episodes back, we presented Tristan Harris and Aza Raskin’s talk The AI Dilemma. People inside the companies that are building generative artificial intelligence came to us with their concerns about the rapid pace of deployment and the problems that are emerging as a result ...  Show more

#312 — The Trouble with AI
Making Sense with Sam Harris

Sam Harris speaks with Stuart Russell and Gary Marcus about recent developments in artificial intelligence and the long-term risks of producing artificial general intelligence (AGI). They discuss the limitations of Deep Learning, the surprising power of narrow AI, Ch ...

  Show more

The race to build AI that benefits humanity | Sam Altman
TED Tech

Will innovation in artificial intelligence drastically improve our lives, or destroy humanity as we know it? From the unintended consequences we've suffered from platforms like Facebook and YouTube to the danger of creating technology we can't control, it's easy to see why people ...  Show more

Paradigms in Artificial Intelligence
Linear Digressions

Artificial intelligence includes a number of different strategies for how to make machines more intelligent, and often more human-like, in their ability to learn and solve problems. An ambitious group of researchers is working right now to classify all the approaches to AI, perha ...  Show more