According to the speaker, an ideal test of human and machine intelligence is one that is actionable, highlights the need for progress, and the direction in which to make such progress. The speaker also suggests that a difficult test can be created by requiring a lot of extrapolation over training examples, instead of relying on ambiguity in test questions.
Dr. Andrew Huberman discusses the importance of goal alignment within oneself before striving for goal alignment between humans and machines.
The development of advanced artificial intelligence requires not just knowledge and data, but also the ability to direct that intelligence towards chosen goals and objectives. While domain-specific general intelligence may already be in existence, the creation of a truly emergent and universal AGI will require the capacity to not just act on programming, but to make willful decisions about that programming.
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 speaker discusses using AI to create a more efficient workflow in creating a dating site that matches people based on similar traits, and how there are many mind-blowing moments and nuances to this technology.
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.
Utilizing artificial intelligence to automate administrative work can increase productivity, engagement, and allow employees to focus on work with a greater impact on the company and customers in the market.
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 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.
