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Forget simple scaling laws: the compute-optimal number of parallel rollouts in LLM RL plateaus, revealing distinct mechanisms for easy vs. hard problems.
Forget cloud GPUs – a new model brings unified multimodal understanding and generation to your iPhone, running 6x faster than alternatives.
K2-V2 redefines the open-source LLM landscape, rivaling closed-source giants in reasoning capabilities while providing full transparency into its training data and process.
Forget rigid game environments – PAN lets you simulate open-world scenarios with language-specified actions and long-term visual coherence, opening the door to more realistic AI training.
LLMs gain a whopping 124% task completion boost when coupled with a world model that enables simulative reasoning, suggesting a path beyond token-by-token autoregression.
