we discuss benchmark problems, such as benchmark saturation, and explore potential solutions. And as always, we offer a curated list of relevant news and important papers to keep you informed
How AI agents plan and reason: chain-of-thought, ReAct, hierarchical planning, neuro-symbolic AI, and DeepSeek R1's RL approach — with practical examples
Mixture-of-Mamba (MoM) brings modality-aware sparsity to Mamba SSM, cutting FLOPs by up to 75% while improving accuracy across text, image, and speech tasks.
we highlight the overlooked impact of DeepSeek’s surprise release on countries like Korea, Japan, and those in Europe and what it might mean for the global open-source community