GLM
GLM on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on glm in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around glm, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Deep Dive on RL and OPD for Training LLMs [D]
Recent advancements in large language model (LLM) training, exemplified by models like Kimi and Qwen, increasingly leverage policy distillation and reinforcement learning from human feedback (RLHF) techniques. To demystify these powerful methods, we’ve published a deep dive exploring the underlying mathematics and code—connecting these algorithms to pretraining and supervised fine-tuning. Discover how RL and OPD are shaping the future of LLMs. Explore the full explanation here: [https://youtu.be/MaZWafi4gYY?is=8jLkAp_Fe86abUVP](https://youtu.be/MaZWafi4gYY?is=8j
![We compared different LLMs on IMO 2026 [R]](https://preview.redd.it/fy4ayale5nfh1.png?width=140&height=73&auto=webp&s=473d0bc0475a2513ba0bb7106f245288abfeef5f)
We compared different LLMs on IMO 2026 [R]
SignalPilot Labs rigorously evaluated leading LLMs against the 2026 International Mathematical Olympiad (IMO), a challenging benchmark reflecting general intelligence. Frontier models like Sol and Fable achieved near-perfect scores, while others benefited significantly from advanced harness engineering, including our AutoFyn system. Notably, even optimized harnesses didn't match frontier performance. Our findings, detailed in a comprehensive report, highlight persistent hallucination issues, exemplified by a recurring failure on a critical problem reduction.
GLM 5.2 is great ... but #AI #GLM #Claude #OpenAI #Anthropic
GLM 5.2 represents a significant step forward, but the landscape of large language models continues to evolve rapidly. Anthropic’s Claude, alongside OpenAI's offerings, are driving innovation at a remarkable pace. We're closely tracking these developments, recognizing the transformative potential of AI across various sectors. For deeper insight into Anthropic’s recent advancements, explore our breakdown of the Claude Fable 5 system prompt – a detailed look at the engine powering its capabilities. The future of data management and AI is unfolding now.