By analyzing chemical structures with AI, researchers can look for commonalities in effective and ineffective chemical compounds to predict which substances to test in the future. The ability to do so is important for creating effective drugs, such as intelligent microchips that release a drug in response to a signal.
Dr. Andrew Huberman discusses the importance of goal alignment within oneself before striving for goal alignment between humans and machines.
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.
Through the process of interacting with systems better than humans and continuously improving through data engine technology, autonomous driving and semi-autonomous driving have become one of the most exciting applications of AI.
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 process of training self-driving car computers and other artificial intelligence requires a huge amount of footage to be labeled, allowing the computers to recognize common objects and be corrected when wrong.
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 delve into the concept of artificial intelligence art, questioning if people only prefer imperfect art because of its human origin. They also discuss the potential for AI to create podcasts and other forms of media.
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.
AI is gradually taking over traditional knowledge work jobs. Companies are being forced to rethink their business model and diversify revenue streams as AI applications like chat GPT and Grammarly continue to dominate.
