The Impact of Generative AI on Startups, Sustainability, and the Hybrid Workforce

Generative AI refers to machine-learning models that are trained to create new data rather than making predictions based on existing data. These models have become more complex and powerful over the years, thanks to advancements in deep-learning architectures and larger datasets. Generative AI has a wide range of applications, from creating synthetic image data for training computer vision models to designing novel protein structures. However, there are concerns about worker displacement, biases in training data, and potential copyright issues. Despite these challenges, generative AI has the potential to empower artists and change the economics in various disciplines. It could also be used in fabrication and the development of more generally intelligent AI agents.