What's Next in the Evolution of AI?

AI has the power to elevate communities. For the first time, individuals don’t have to rely on experts to build complex technological infrastructures and systems to bring a new idea to life. Instead, they can leverage generative AI tools made possible by large language models to help them. In this episode, Arthur Soroken, Head of Growth & Community at Google Labs shares how this reduced barrier to entry increases diversity in tech and gives more people a seat at the table.  

In this episode, Arthur Soroken, Head of Growth & Community at Google Labs discusses how companies building AI tools are working to keep users safe through both reactive and proactive measures, such as blocking requests for explicit content. By observing how humans experience and use large language models, AI companies can work quickly to make improvements in real-time. 

Generative AI is remarkably effective already, but how do we make it more efficient? Trained on vast amounts of data using machine learning, large language models can streamline our workflows, from mundane tasks to complex problem-solving. However, there are steps that can be taken to make them even more efficient. In this episode, Arthur Soroken, Head of Growth & Community at Google Labs unpacks technological advancements that would increase the efficiency of this technology.