AI Lessons from Babies & Advances in mRNA Vaccines

Babies have a remarkable ability to learn language, far surpassing even the most sophisticated language models. For instance, ChatGPT, a language model, required training with huge data sets containing millions of words to write in decent English. Conversely, children, by the time they are three, communicate in a highly advanced manner, despite exposure to only a minimal fraction of that data.

A group of scientists from New York University was curious about whether artificial intelligence could mimic this incredible learning capability of babies. Specifically, they wanted to know how an AI model would perform when exposed to a much smaller data set, similar to the visual and auditory input received by a toddler learning to talk.

Their research, published in “Science”, proved to be enlightening. Not only did it reveal how babies learn, but it also paved the way for improved AI models. For the detailed account, read the full story.

Moving on to another sphere of scientific advancements, the next generation of mRNA vaccines is gearing up. Recently approved in Japan, the new addition to the mRNA vaccine stable is cause for excitement. This vaccine works like existing mRNA vaccines by telling the body to produce the virus’s spike protein. The novel aspect is that it also instructs the body to produce more mRNA, making it self-amplifying.

This type of vaccine, at least in theory, bears potential benefits over the standard mRNA vaccines. It could require a lower dose and potentially induce a more robust and long-lasting immune response.