So it looks like it triggers GPT-4o with thinking, regardless of the model – it does the same thing (thinking for 35 seconds) regardless whether I select 4o, o3, or o3-pro
LLMS
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GLM-4.5 Air 3bit MLX runs smoothly on MacBook M2
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I've run the GLM-4.5 Air 3bit MLX build on my 64GB MacBook M2, it's impressed me – it drew me a simpler pelican https://
huggingface.co/mlx-community/
GLM-4.5-Air-3bit
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Artificial Analysis Intelligence Index methodology critique benchmarks
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I like that Artificial Analysis is open about how they evaluate models and makes data public, it is a real service. However, I see folks citing their Intelligence Index as a metric without realizing it is an average of the same correlated, semi-saturated benchmarks everyone uses
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GLM-4.5 Dominates 12 Major AI Benchmarks Over Competitors
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Benchmarking Brilliance
GLM-4.5 excels across 12 major benchmarks, outperforming competitors like Claude 4 Opus and DeepSeek R1. Its open-source nature and advanced capabilities position it as a formidable force in the AI landscape. -
GLM-4.5: Advanced AI Model for Reasoning and Coding
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Explore the cutting-edge capabilities of http://
Z.ai’s GLM-4.5, a state-of-the-art AI model designed for advanced reasoning and efficient coding. Access detailed documentation and models here -> https://
shorturl.at/GKKHS Follow us @futurepedia_io for fresh AI tools -
Dual-Mode Intelligence Switching for AI Performance
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Dual-Mode Intelligence
Switch seamlessly between "Thinking Mode" for complex tasks and "Non-Thinking Mode" for rapid responses. This flexibility empowers developers to tailor AI behavior to specific needs, enhancing both performance and user experience. -
Zai Unveils GLM-4.5: Advanced AI Model for Autonomous Reasoning
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🚨A Chinese research lab, Zai, has unveiled a powerful new model GLM-4.5
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 29 juillet 2025
Not just another AI model—it's a leap into the next era of autonomous reasoning, coding, and agentic intelligence.
With a hybrid architecture and 128K token context, it's engineered to think, plan, and… pic.twitter.com/NVZP1dNg1fA Chinese research lab, Zai, has unveiled a powerful new model GLM-4.5 Not just another AI model—it's a leap into the next era of autonomous reasoning, coding, and agentic intelligence. With a hybrid architecture and 128K token context, it's engineered to think, plan, and
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GLM-4.5: Efficient 355B Parameter Language Model
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GLM-4.5: Power Meets Precision
Boasting 355 billion parameters with 32 billion active at runtime, GLM-4.5 delivers top-tier performance at a fraction of the cost. Its Mixture-of-Experts design activates only the necessary parameters, ensuring efficiency without compromising -
AI Factual Gullibility: Testing Model Resistance to False Claims
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I would love to see more work on AI factual gullibility. Minor falsehoods are easy, but I have been trying to convince models that The Bronze Age was a hoax (tin deposits weren't located anywhere close to copper, etc.) and so far it hasn't come close to working on modern AIs.
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Context Rot and Token Efficiency in Large Language Models
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Yeah context rot is about bad tokens (mistakes etc) getting into the context and causing poor performance later on – what Theo is describing is more models straight up wasting tokens