natural language processing

Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.

Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math provide a blueprint for how that could change.

It’s simple enough for AI to seem to comprehend data, but devising a true test of a machine’s knowledge has proved difficult.

Tiny amounts of artificial noise can fool neural networks, but not humans. Some researchers are looking to neuroscience for a fix.

AI tools are shaping next-generation theorem provers, and with them the relationship between math and machine.

A tool known as BERT can now beat humans on advanced reading-comprehension tests. But it’s also revealed how far AI has to go.