An exploration of complex self-organizing intelligence systems that learn, grow, and adapt without a specific objective function or "maximization" focus. While truly general intelligence, with infinite computing power, is theoretically possible, authors believe that pursuing this kind of version of intelligence may not be practical given current technological limitations.
Dr. Andrew Huberman discusses the importance of goal alignment within oneself before striving for goal alignment between humans and machines.
Machines pursuing incorrectly defined objectives such as maximizing quarterly profits or social media algorithms are already causing negative consequences. Even weak machine learning algorithms can have disastrous effects on the real world when pursuing these objectives.
Kevin Roos, tech columnist at The New York Times, explores the weird and unsettling experience of using Microsoft's search engine, powered by artificial intelligence.
Conference organizer, Jan Talin, believes that those without children are less likely to understand how pressing the concern of artificial intelligence is. The control problem of building super-intelligent machines, given the consequences of losing control, is a terrifying prospect.
The speaker discusses an AI's ability to create digital representations of people based on existing intelligence, even accurately replicating a person's mouth movements.
The possibility of computers having human-like consciousness is not far-fetched as researchers are currently modeling the human brain in a way that differs from neural nets. The idea raises questions about our own humanity and the impact of artificialness in our daily lives, such as using technology to address health issues.
The speaker believes that in order for AI systems to truly connect with humans and provide a personalized experience, humans should own all of their data and have the ability to delete it as they please.
GPT-3.5 is an interim model towards the highly anticipated GPT-4.0 model that has been in development for some time now. Trained in three steps with human involvement in tagging, this model has the potential to replace many human knowledge worker roles and functions.
Prof. Dr. Frauke Schleaf and Andreas Odenkirchen explore the possibilities of integrating artificial and human intelligence to create a data-driven culture with their guests.
Demis Hassabis, the co-founder and CEO of DeepMind, discusses the groundbreaking work his team is doing with artificial intelligence and gives insight into the potential implications and benefits of this technology.
The hosts discuss the latest advancements in Artificial Intelligence and its impact on society. One of them gets emotional about the subject while the other remains composed.
Sam Harris discusses the possibility of creating conscious machines that we may not even recognize as being different from humans and how this could impact society's view of consciousness.
The speaker describes how an AI algorithm could theoretically be used to influence people, including discerning sexual orientation, identifying gun experts, and more troubling, controlling public behavior during a pandemic.
The impact of AI on image generation has upset individual artists with one particular format becoming popular and controversial. The speaker has been absent from their channel due to being occupied with editing a TV show.
The need to start exploring A.I. models to become literate in the ways to talk to chatbots is discussed as people try to jailbreak celebrity chatbots. Endorsement deals are also being made by celebrities like Tom Brady and Giselle using these chatbots.
