Kids are learning how to make their own little language models

MIT Technology Review 

"What does it mean to have children see themselves as being builders of AI technologies and not just users?" says Shruti. The program starts out by using a pair of dice to demonstrate probabilistic thinking, a system of decision-making that accounts for uncertainty. Probabilistic thinking underlies the LLMs of today, which predict the most likely next word in a sentence. By teaching a concept like it, the program can help to demystify the workings of LLMs for kids and assist them in understanding that sometimes the model's choices are not perfect but the result of a series of probabilities. Students can modify each side of the dice to whatever variable they want.