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.
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 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.
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.
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 potential capabilities of AI are currently unknown, but it is important for companies to understand how their language models operate. By setting specific requirements for model transparency, we can ensure that AI is not controlled by hidden biases or unethical practices.
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.
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.
The team at Woven is focused on simplifying how people can use and discover their product. The first company to get an effective self-driving car will get a lot of the benefits that the first AGI super intelligence will, due to their ability to compound on the data and improve their learning system.
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.
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.
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.
In this podcast, the speaker discusses the potential development of artificial intelligence in the future and how it could be one of the most important technological developments of our time. They also consider the importance of implementing policies to control potential harm.
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.
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 relationship between the body and the mind is complex, and the impact of the body on the mind has significant implications in the age of AI. By understanding this relationship, we may be better equipped to imagine and adapt to a future shaped by new technologies.
