An oral history from 19 current and former natural language processing researchers of the past five years, including how LLMs and ChatGPT disrupted their fields
There was one about using BERT to unredact the Mueller report, which is a terrible idea. It seemed like there was just a never-ending supply … Bluesky: @markriedl , @coocho , @melaniemitchell , and @...
Q&A with physicist Lenka Zdeborová on how the physics of phase transitions in matter can help model the behavior of algorithms, understanding LLMs, and more
Quanta spoke with Zdeborová about the similarities between water and algorithms, using physics … X: @theomitsa , @epfl_en , @abatanasov , and @quantamagazine X: Dr. Theophano Mitsa / @theomitsa : Fant...
Some computational neuroscientists say self-supervised AI learning models have shown a closer correspondence to brain function than supervised-learning models
Self-supervised learning allows a neural network to figure out for itself what matters. The process might be what makes our own brains so successful. Tweets: @freakonometrics and @sustainhistory Twee...