A mixture of experts, or MoE, is a model architecture that contains multiple specialized subnetworks and a routing system that selects which experts handle each input. Only a subset may be activated for a given token or example, allowing the model to contain many parameters without using all of them for every calculation. This can expand capacity while controlling inference cost. Training remains complex because routing must distribute work effectively, avoid overloading a few experts, and maintain communication across hardware. An MoE model is not automatically interpretable simply because its components are called experts; their learned specializations may be unstable or difficult to describe and must be evaluated empirically.
Anthropic has disabled Claude Fable 5 and Claude Mythos 5 globally after a U.S. government export-control directive restricted access to the models for foreign nationals, prompting the company to challenge the decision publicly.
OneSoil has partnered with Rainbow Weather to bring hyperlocal AI-powered rainfall forecasting to farmers worldwide, helping improve field operations and reduce weather-related losses.
A new study from researchers at Massachusetts Institute of Technology and University of Southern California finds generative AI is rapidly increasing the number of Americans filing lawsuits without lawyers in U.S. federal courts.
OpenAI has launched GPT-5.5, a new flagship model designed for coding, computer use, knowledge work, and scientific research, with stronger performance, lower token usage, and broader real-world autonomy than GPT-5.4.
HappyHorse-1.0, an open-source AI video model, has topped global benchmarks, outperforming leading proprietary systems and signaling a shift in the video generation market.
Meta shares climbed 7% after unveiling Muse Spark, its new multimodal AI model, signaling investor confidence in the company’s revamped AI strategy.
SoftBank has secured a $40 billion bridge loan to deepen its investment in OpenAI and accelerate its broader AI strategy.
AI-driven bots now generate more internet traffic than humans, according to a new report, highlighting the growing impact of automated systems online.
New research shows that telling AI models they are “experts” can reduce accuracy in tasks like coding and math, while improving safety and alignment outcomes.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.