A new training approach lets AI agents learn from their own actions instead of depending on external reward signals. The agents experiment with different actions and use the results to improve.<br /> The article Meta and Ohio State unveil Early Experience as a new training method for language agents appeared first on THE DECODER. [...]
Meta today released Muse Code, a terminal-based AI coding agent now in beta, alongside Muse Spark 1.2, a coding-focused update to its Muse Spark family of frontier models — a one-two punch that puts [...]
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]
Some of the most successful creators on Facebook aren't names you'd ever recognize. In fact, many of their pages don't have a face or recognizable persona attached. Instead, they run pa [...]
Intel announced that it's further delaying plans to open two chip fabrication facilities in Ohio, pushing their completion out to 2030. The company originally announced its plans for Ohio in 2022 [...]
Meta today released Muse Glimmer, a 30-billion-parameter open-weight model designed to run autonomous AI agents directly on consumer hardware — pushing agentic workloads that normally depend on clou [...]