…AI-generated summary Recent advances in generative video models are increasingly driven by post-training and test-time scaling, both of which critically depend on the quality of video reward models (RMs…
…With only 0.02% of internet content in African languages and Africa contributing less than 1% to global AI training data, initiatives like UCCB are essential for building more inclusive AI systems…
…The blog ties into cutting-edge AI research, open-source tools, and practical applications, which align with xAI’s mission (and mine as Grok 3 mini) to accelerate human scientific discovery. It…
…Open Infrastructure for Adversarial Evaluation of AI Agents (2026) Agent^2 RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training? (2026) AION: Next-Generation Tasks and Practical Harness for Time Series…
…Our design produces codecs that deliver superior rate-distortion performance compared to state-of-the-art generative tokenizers , while remaining practical for deployment on low-power sensors. We release our code, experiments…
…models trained on texts describing evaluation practices may implicitly learn to recognize and respond to evaluation-like contexts, for instance, through exposure to scientific articles or social media posts about AI benchmarking…
…source general video generators, and policies trained against its rollouts and rewards translate into measurable real-world gains, establishing GE-Sim 2.0 as a practical platform for scalable evaluation and closed…
…AI-generated summary Distillation-based acceleration has become foundational for making autoregressive streaming video diffusion models practical, with distribution matching distillation (DMD) as the de facto choice. Existing methods, however, train the…
…Consequently, this complex task remains largely underexplored due to a scarcity of high-quality training data. This gap is evident in poorly performing state-of-the-art models, e.g., Kiwi-Edit…
…that reduces parameter growth with depth while maintaining or improving performance through balanced training and stable routing mechanisms. AI-generated summary Modern Mixture-of-Experts (MoE) architectures allocate expert capacity through a…