AI & Tech

A team of researchers from Meta, Stanford University, and the University of Washington have introduced three new methods that substantially accelerate generation in the Byte Latent Transformer (BLT) — a language model architecture that operates directly on raw bytes instead of tokens. Byte-Level Models Are Slow at Inference To understand what this new research solves,…

Modern large language models are no longer trained only on raw internet text. Increasingly, companies are using powerful “teacher” models to help train smaller or more efficient “student” models. This process, broadly known as LLM distillation or model-to-model training, has become a key technique for building high-performing models at lower computational cost. Meta used its…

Digg is back from the dead. Again. Just months after launching, the reboot of Kevin Rose’s once-popular link-sharing site shut down in March, as the company shifted course. Originally redesigned as a competitor to the massive community forum site Reddit, the new Digg found that it wasn’t able to effectively manage the bot traffic invading…