AI war heats up

In today's edition of Everyday Series, we delve into the ever-growing world of artificial intelligence and its impact on jobs, the economy, and groundbreaking innovations in various fields.

A report by Goldman Sachs suggests that generative AI has the potential to affect 300 million jobs across major economies. While this technology could boost global GDP by 7%, it also carries the risk of creating significant disruption.

As AI models keep evolving and growing, the demand for training data has skyrocketed, leading to increased interest in data collection, annotation, and management. Companies capable of providing AI developers with access to extensive, high-quality datasets are poised to play a crucial role in shaping AI's future.

ChatGPT recently introduced initial support for plugins, tools designed with safety as a core principle specifically for language models. These plugins enable ChatGPT to access up-to-date information, perform computations, or utilize third-party services, further enhancing its capabilities.

Researchers at MIT's Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) are exploring the potential of diffusion generative models beyond creating surreal images. They believe that these models can accelerate new drug development and minimize the likelihood of adverse side effects. A paper introducing a molecular docking model called DiffDock will be presented at the 11th International Conference on Learning Representations. DiffDock's unique approach to computational drug design presents a significant opportunity to transform the traditional drug development pipeline currently employed by most pharmaceutical companies.