not much happened today

**AI News for 1/16/2026-1/19/2026** covers new architectures for scaling Transformer memory and context, including **STEM** from **Carnegie Mellon** and **Meta AI**, which replaces part of the FFN with a token-indexed embedding lookup enabling CPU offload and asynchronous prefetch. **RePo** from **Sakana AI** introduces adaptive positional reordering to improve robustness on noisy and long-range contexts. Model releases highlight **Zhipu AI's GLM-4.7-Flash**, a **30B-class MLA + small MoE** model optimized for coding and agentic tasks, noted for strong benchmark performance and a compression narrative from larger to smaller models. Inference and deployment updates include **mlx-lm 0.30.3** supporting GLM-4.7-Flash with efficient 4-bit performance on laptops. The report emphasizes practical takeaways on static sparsity, adaptive ordering, and the resurgence of small, fast models for interactive tasks. *"Sparse capacity doesn’t have to mean MoE routers + expert parallelism; static sparsity can be systems-friendly."*