Stefan Mileschin

Which explains so much

Humans learn to speak and to read using a technique similar to autocorrect Ai according to new research from the Massachusetts Institute of Technology.

The new study, published in the Proceedings of the National Academy of Sciences, shows that the function of these AI language models resembles the method of language processing in the human brain, suggesting that the human brain may use next-word prediction to drive language processing.

In this new study, a team of researchers at MIT analysed 43 different language models, many of which were optimized for next-word prediction.

These models include the GPT-3 (Generative Pre-trained Transformer 3), which can generate realistic text when given a prompt, or other ones designed to provide a fill-in-the-blanks function. Researchers presented each model with a string of words to measure the activity of its neural nodes. They then compared these patterns to activity in the human brain, measured when test subjects performed language tasks like listening, reading full sentences, and reading one word at a time.

https://fudzilla.com/news/53757-our-...ke-autocorrect