GLM-5
PulseAugur coverage of GLM-5 — every cluster mentioning GLM-5 across labs, papers, and developer communities, ranked by signal.
- developed by Zhipu AI 100%
- instance of Zhipu AI 95%
- instance of Kimi K2.5 90%
- developed by GLM-5.2 90%
- developed GLM-5.2 90%
- developed GLM 5.3 90%
- developed by GLM 5.3 90%
- instance of GLM-5.2 90%
- developed Self-Harness 90%
- used by NVFP4 90%
- used by DeepSeek Sparse Attention 80%
- competes with Kimi k3 70%
12 day(s) with sentiment data
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Huawei's openJiuwen launches TTSE agent framework for enhanced learning · 2 sources tracked
Huawei's openJiuwen agent platform has introduced TTSE, a new framework designed to enhance agent learning. TTSE distinguishes between environmental facts and conditional tips, allowing agents to better recall and apply…
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openJiuwen unveils Two-Track Self-Evolution for AI agents
openJiuwen has introduced a new framework called TTSE (Two-Track Self-Evolution) to enhance the self-improvement capabilities of AI agents. This framework distinguishes between an agent's understanding of its environmen…
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SWE-bench Multilingual leaderboard shows questionable scores and submission origins
The SWE-bench Multilingual leaderboard on Hugging Face, intended to evaluate LLM performance on coding tasks across 300 real GitHub issues in nine languages, has inconsistencies. Many listed scores, including the top tw…
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Local LLM Inference Booms with New Tools and Hardware Support
The landscape of local LLM inference is rapidly advancing, with tools like Ollama, vLLM, and LM Studio enabling useful open-weight models to run on consumer hardware by 2026. Foundational engines such as llama.cpp are p…
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Hugging Face SWE-bench board shows 9 self-reported results above official best · 1 source tracked
The Hugging Face SWE-bench Verified board, updated on November 5, 2026, lists 78 results from 68 repositories, none of which are officially verified. Nine self-reported entries surpass the highest score of 79.2 on the s…
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New attention methods enable LLMs to process millions of tokens
Researchers are developing new attention mechanisms to handle extremely long contexts in large language models, aiming to overcome the quadratic cost of traditional methods. Papers introduce techniques like Recursive Sp…
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Google's Harness² framework boosts AI agent performance by optimizing prompts and tools
Google Cloud AI Research and Northwestern University have developed Harness², a framework designed to enhance AI agent performance without altering the core model. This system focuses on optimizing the surrounding compo…
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Google AI agents autonomously improve models like GLM-5 without retraining
Google has developed a novel method where AI agents can autonomously refine their own operational frameworks, including prompts, memory, tools, and guardrails. This approach, termed 'Harness', allows for performance imp…
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Z.ai's rumored GLM-5.5 model faces training delays, aims for Claude Fable 5.1 capabilities
Rumors suggest Z.ai is preparing to launch GLM-5.5, a new AI model with an estimated 2.5 to 3.5 trillion parameters, potentially surpassing Moonshot AI's Kimi K3. The model's release has reportedly been delayed due to i…
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GLM-5 outperforms Gemini 3.8 Flash on 19 tasks, revealing different failure modes
A comparison of GLM-5 and Gemini 3.8 Flash revealed distinct failure modes when processing 19 common tasks. GLM-5 successfully completed all tasks, while Gemini 3.8 Flash missed two. One failure for Gemini involved exce…
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GLM-5 open-source LLM now runnable locally via Ollama
The GLM-5 large language model, developed by Z.ai, is now available for free local execution via Ollama. This Mixture-of-Experts model boasts 744 billion total parameters with 40 billion active per token, trained on 28.…
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LLM comparison reveals task rounds, not speed, dictate performance
A developer compared four large language models—DeepSeek V4-Pro, Qwen3.8 Max, GLM-5, and Gemini 3.8 Flash—over a month to understand their performance beyond simple speed tests. The analysis revealed that the number of …
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Agnes AI releases Agnes-3.0-Qwen with 1M-token context window
Agnes AI has released Agnes-3.0-Qwen, a multimodal reasoning model with a 1M-token context window. This model demonstrates strong agentic performance and reliable instruction following, outperforming models like GPT-5.6…
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GPU prices rise while LLM token costs plummet, data shows
A tool developed by Smart Inference has tracked GPU and token prices, revealing a divergence in market trends. While the cost of newer GPUs like the NVIDIA H100, H200, and B200 has increased by approximately 20-25% from…
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Google open-sources Harness² for AI self-improvement
Google has open-sourced Harness², a new framework designed to enhance AI agent capabilities by enabling them to autonomously modify their own code, system prompts, and toolchains during operation. This recursive self-im…
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China's AI 'Six Tigers' show divergent paths: Zhipu, MiniMax, Moonshot lead varied fortunes
In China's competitive large language model landscape, the "Six Tigers"—companies like Zhipu AI, MiniMax, and Moonshot AI—have largely survived but with vastly different trajectories. Zhipu AI has become a publicly trad…
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Z.ai's GLM-Legal outperforms Claude Fable 5 and Kimi K3 on legal benchmark
Z.ai has launched GLM-Legal, a specialized AI model for legal tasks built upon its GLM-5.3-Flash architecture. The model achieved a 19.2% pass rate on Harvey's Legal Agent Benchmark (LAB), significantly outperforming it…
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Chinese open-weight LLM release timeline compiled from vendor data · 1 source tracked
A comprehensive timeline details the release dates of open-weight large language models from Chinese organizations, meticulously compiled from vendor pages, research papers, and Hugging Face's API. The list excludes API…
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Agent memory effectiveness varies by AI model capability, study finds
A new study has revealed that the effectiveness of agentic memory in AI models is highly dependent on the specific model's capabilities and requires careful calibration. The research found that stronger models with more…
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Anthropic's GLM-5 reportedly outperforms Mythos in cyber capabilities
Anthropic has published research on their new GLM-5 model, which they claim surpasses their previous Mythos model in certain advanced cyber capabilities. This development is presented as a significant advancement in AI …