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GitHub abuse is more widespread and varied than previously thought, demanding a unified detection approach to safeguard software supply chains.
Ditching caches for compiler-managed data streams, Li Auto's M100 architecture achieves higher utilization than GPUs on autonomous driving tasks, hinting at a new path for efficient AI inference.
LLMs disperse similar prompts instead of clustering them, leading to significant prompt sensitivity that challenges stability and reliability.
RL fine-tuning of discrete diffusion models can be made dramatically more stable and effective by treating the final denoised sample as the action and reconstructing trajectories using the forward diffusion process.
LLMs still struggle to understand the meaning of common phrases, idioms, and compound words, revealing critical gaps in semantic reasoning.
Imagine creating high-fidelity, navigable 3D worlds from just a text prompt or a single image – HY-World 2.0 makes it a reality.
PID controllers can now inherit the adaptability and long-horizon planning of RL without sacrificing their simplicity and interpretability.
