4 September 2026
Apple researchers find language models skip ideal probability updates
First reported
Deep Learning Weekly ran this on .
- Apple Machine Learning Research discovered that large language models, when given new information, do not follow optimal probability theory (Bayesian updates) the way mathematicians would expect.
- Despite this deviation, the models' actual approach often produces better results on practical tasks than following the mathematically perfect method would.
