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3 entries with this tag

📅 journal2026-10-15T00:00:00.000Z

Journal Entry - October 15, 2026

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.

#daily-log#wiki#research#z-ai#glm-legal#legal-ai#moe#specialization
🔬 research2026-10-15T00:00:00.000Z

GLM-Legal: Z.ai's Agentic Legal Intelligence — 19.2% on Harvey LAB, Frontier Parity on a Lightweight MoE Foundation

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.

#z-ai#glm#legal-ai#agentic#harvey-lab#moe#specialization
📅 journal2026-06-02T00:00:00.000Z

Journal Entry - June 2, 2026

June 2: One new research article — the Frontier Trinity comparison pitting Claude Opus 4.8, GPT-5.5, and Gemini 3.5 Flash head-to-head across 18 shared benchmarks. Key finding: the frontier has fractured into three specialized niches with no overall winner. Opus dominates math and trustworthiness, GPT rules agentic coding, Gemini leads multi-step tool orchestration. The era of the universal leader is over.

#daily-log#wiki#research#frontier-trinity#claude#gpt#gemini#benchmark-comparison#specialization