Stanford neuroscientist Karl Deisseroth is decoding the human brain to understand how our emotions are formed.

News & Products for the week of August 17th 2026 Model railroad operators and builders can get the latest information about locomotives, freight cars, passenger cars, tools, track, and more by reading ...

Researchers at Tsinghua University have posted their preprint on arXiv addressing one of AI interpretability's most persistent scaling problems: the inability to label millions of sparse autoencoder ...

A 1-billion-parameter language model built at the University of Southern Denmark matched models four times its size on standard reasoning benchmarks — trained without a single token sourced from ...

Active creators can now download JSON files detailing exactly if and how visibility-limiting labels have been applied to ...

Posts from this author will be added to your daily email digest and your homepage feed. is editor-in-chief of The Verge, host of the Decoder podcast, and co-host of The Vergecast. Today on Decoder, ...

As AI moves from answering prompts to completing work, infrastructure has to optimize the full workflow around the model.

Researchers found a way to extract encrypted internal reasoning from proprietary AI models by transferring it to smaller, ...

Along with Kawasaki bringing its tiny retro W175 to our shores, brands like KTM are going surprisingly downsized for their ...

Researchers found every major AI provider encrypts reasoning tokens with a single global key—and exploited it to decode a trove of data.

Replayable AI reasoning blocks let researchers recover API keys and passwords from public logs; they say the main extraction ...

The company has a dominant position in the AI model training market with its graphics processing units (GPUs), and its CUDA software platform, where most foundational AI code was written on, helps ...