using frontier ai to recreate the world's literature as playable video games ftw!
AI
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Two levels of reasoning high and max for long horizon
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The model has two levels of reasoning, high and max, which push its reasoning and programming capabilities over a long horizon.
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GLM 5.2 Open Source: improvements in agentic programming
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NEW GLM 5.2 OPEN SOURCE! At the same time we are losing access to the best private models, companies like Z.ai continue to release increasingly powerful models! This new version stands out for its improvements in agentic programming,
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U.S. senators to review Tesla FSD safety record
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U.S. senators to review Tesla FSD safety record
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Scobleizer’s AI reads 30,000 X posts daily to write essays
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Yes it can: https://
alignednews.com/ai Mine reads 30,000 posts a day here on X to write the essay it writes. Will try Data2Story. -
IneffableLabs builds super-learner with NVIDIA Vera Rubin NVL72
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@IneffableLabs builds a super-learner that learns from experience, requiring enormous compute scale. They chose NVIDIA Vera Rubin NVL72, one of the largest clusters on @GoogleCloud, to power their mission to achieve superintelligence.
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Comment on Microsoft’s fine-tuned version of DS4 on Azure
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yeah, but a MSFT fine-tuned version of DS4 on azure
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GLM-5.2: open weights MIT, 1M context, coding agents
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Let's go, GLM-5.2 is released as an Open Weights model. tl;dr
– 1M context window
– Open weights under MIT license
– More powerful long-horizon coding agents
– Two reasoning modes: max and high
– Same API pricing as GLM-5.1 Zai says that GLM-5.2 has -
Microsoft considers hosted DeepSeek V4 for cheaper Copilot Cowork
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Axios reports that Microsoft is considering a Microsoft-hosted version of DeepSeek V4 as a cheaper model option for Copilot Cowork. Microsoft says Copilot Cowork cannot work with unlimited pricing. "We have users who
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Agent governance directly in LangSmith
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Agent governance is not something that should be added to agentic systems. LangSmith LLM Gateway allows you to apply rules on the same platforms where agents are built, observed, and evaluated.