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.
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.
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 speaker received advice on artificial intelligence from a podcast, specifically from a guest who discussed the topic around six or nine months ago. They compared it to parenting.
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.
Dr. Andrew Huberman discusses the importance of goal alignment within oneself before striving for goal alignment between humans and machines.
This podcast episode discusses rethinking the idea of artificial intelligence and avoiding the replication of human consciousness as the ultimate goal. The idea of engineering consciousness is explored, along with the realization that our notions about this topic may be viewed as silly in the future.
In the book "Superintelligence," philosopher Nick Bostrom delves into the difficulty of building artificial intelligence that aligns with human interests, and how this poses a significant problem as we advance technologically. This book is considered an important and thorough examination of the control problem.
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.
