New GLM 5 Runs on ‘Slime’ Powered Intelligence (Crushing Top Models)

Zhipu AI just released GLM-5, a 744B parameter open source model powered by its new Slime reinforcement learning engine, claiming industry-leading hallucination control and top benchmark results. At the same time, open-source agents like DeepAgent are reaching near human-level scores on GAIA, while OpenAI is rolling out Deep Research upgrades and rumored Skills features aimed at real workflow automation. ByteDance’s Seedance 2.0 is pushing generative video forward, and Baidu is expanding globally with BaiduWiki and new search integrations.

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🧠 What You’ll See
0:00 Intro
0:24 How GLM-5 uses the Slime RL engine to scale training and reduce hallucinations
3:50 How GLM-5 ranks above major models on SWE-bench Verified and other benchmarks
6:41 How Seedance 2.0 and Baidu’s global expansion signal a wider AI power shift
9:10 How OpenAI’s Deep Research upgrade adds guided control and structured outputs
11:02 How DeepAgent reached 91.69% on GAIA with near human-level task execution

🚨 Why It Matters
These breakthroughs show AI systems moving from chat into real autonomous work — generating files, executing multi-step tasks, handling massive context windows, and competing at human-level performance while raising new safety and governance concerns.

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