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Dion3 slashes optimizer step time by up to 6x while maintaining or improving loss performance compared to its predecessor, Muon.
Latent feedback in full-bandwidth transformers enables deeper contextual understanding without sacrificing efficiency, leading to improved performance across multiple tasks.
Hierarchical Latent Prediction reduces error accumulation in language models, enabling coherent long-horizon reasoning and more efficient decoding.
Data quality, not just model size, reigns supreme: Phi-4-reasoning-vision-15B proves that smaller, open-weight multimodal models can achieve competitive performance through rigorous data curation and architecture choices.
