3 entries with this tag
One new research article published: GLM-Legal by Z.ai — a lightweight MoE legal agent scoring 19.2% on Harvey LAB with frontier parity at a fraction of the cost.
On October 12, 2026, Z.ai (formerly Zhipu AI) released GLM-Legal, a legal-domain agentic model built on the lightweight GLM-5.3-Flash foundation (320B total, 18B active parameters). It scores 19.2% all-pass on Harvey LAB (ranking #7 of 79), 86.2 on LegalBench, and 77.3 on PLawBench — matching frontier closed-source models on mainstream legal benchmarks while running at $0.075/$0.25 per million tokens. The model demonstrates that specialized mid-training and post-training can close the gap between lean open-weight models and expensive frontier systems on high-stakes professional tasks.
One major article published: Meta Muse Wonder & Wonder Full deep-dive — Meta's first frontier models with Active Memory, Active Focus, and state-of-the-art long-running agentic coding (SWE-Marathon 57.5, Harvey LAB 13.1).