Jan 17, 2026

ML Times

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• FLUX.2 [Klein]: Towards Interactive Visual Intelligence
  FLUX.2 [klein] introduces a compact architecture that achieves sub-second inference for image generation and editing, making it the fastest model family available, optimized for consumer hardware with just 13GB VRAM.

• Mamba-2: Why Mamba rewrote its core algorithm and Microsoft abandoned RetNet
  Mamba-2 improved its algorithm by shifting from parallel scans to block-diagonal GEMMs, achieving 60-70% Tensor Core utilization, significantly enhancing performance.

• GLM-Image: China just released first SOTA multimodal model trained entirely on domestic chips
  GLM-Image is the first SOTA multimodal model trained entirely on Chinese chips, utilizing a hybrid architecture of autoregressive and diffusion decoders, showcasing impressive capabilities in Chinese text rendering.

• Counterfactual evaluation for recommendation systems
  Counterfactual evaluation for recommendation systems addresses the interventional nature of recommendations, contrasting with traditional observational methods that fail to account for how recommendations influence user behavior.

• vLLM-MLX: Native Apple Silicon LLM inference - 464 tok/s on M4 Max
  vLLM-MLX leverages Apple's MLX for native GPU acceleration, achieving 464 tok/s on the M4 Max, making it a powerful tool for LLM inference.

• Weight decay in RealNVP: Does weight decay in RealNVP (Normalizing flows) encourage identity transforms?
  Weight decay in RealNVP may bias models towards the identity transform, potentially undermining their capacity to learn meaningful representations, as small weights can push transformations to do nothing.