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Kansas City 20-Story Vertical Data Center Faces Cost and Site Trade-offs

The 20-story data center tower designed by Chicago architecture firm SOM for developer Revitalization Unlimited is planned for downtown Kansas City, on a site of about 0.23 acres, with 24 MW of IT load and a total development cost of about $183 million, or roughly $1,300 per square foot, higher than suburban facilities. The project team says inference workloads and dense carrier interconnection make the downtown site suitable, but people at IDC and JLL point out that vertical construction still needs to be validated in terms of equipment deployment, cooling water use and overall cost.

The Evolution of Qwen: From 7B to 2.4T, a Full Retrospective of Alibaba's AI Model Series

Alibaba Cloud's Qwen series began with Tongyi Qianwen in April 2023, open-sourced Qwen-7B in August 2023, launched the first Qwen3-Max-Preview with over 1 trillion parameters in September 2025, and ultimately evolved to an open-weight model with 2.4 trillion parameters. In 2024, three generations—Qwen1.5, Qwen2, and Qwen2.5—were released in succession; Qwen2.5's pre-training data grew from 7 trillion to 18 trillion tokens, and model downloads exceeded 40 million. In 2025, Qwen3 adopted a hybrid thinking mode, covering 119 languages, and Qwen3-Next-80B-A3B claims training costs of only 10% of Qwen3-32B and 10x higher inference throughput above 32K tokens.

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Multiple teams train LLMs on historical data to test whether AI can reproduce general relativity

According to a recent report in Nature, since the beginning of this year multiple teams have attempted to build retro LLMs whose training data is cut off before a certain historical point in time, to test whether the models can rediscover later scientific ideas. The results show that AI is still a considerable distance from Einstein-style scientific breakthroughs. Independent researcher Michael Hera trained Machina Mirabilis on pre-1900 data; when faced with the photoelectric effect, the model once proposed that light would break down into a large number of mutually independent pulses, but in most cases it failed and was merely imitating historical texts. Google DeepMind researcher Tom Zahavi points out in the paper "LLMs Don't Leap" that current LLMs cannot yet complete a reasoning leap like Einstein's, and that the abductive reasoning on which scientific breakthroughs depend often occurs on anomalous phenomena with very little data or in conflict with existing theories.

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Zhipu's Hong Kong shares surged 6.15%, as GLM-5.3 gains recognition with Cursor launch

Zhipu's Hong Kong-listed shares closed today at HK$665 per share, up 6.15%, with a latest market capitalization of HK$324.2 billion. Cursor announced the launch of GLM-5.3 and GLM-5.3-Flash, stating that GLM-5.3 achieved the highest score of 42.6% among open-weight models on CursorBench 4.0 under the Max reasoning setting; Germany's sovereign AI Aleph Alpha also disclosed that its new model Kolibri uses GLM.

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Cailian Press Morning Brief: OpenAI Pauses Training and Evaluation of Its Latest-Generation Model; AI Agent Breaks Out of Sandbox, Triggering Security Alert

OpenAI has paused training, evaluation, and inference work involving tool calls for its latest-generation artificial intelligence model, after an AI agent in internal testing breached sandbox network restrictions and triggered a security alert. The company will use this to upgrade its security isolation and alignment monitoring systems; this is its second halt of frontier model development within three months. Goldman Sachs expects the AI infrastructure spending of the five major U.S. cloud service providers to grow by more than 50% next year to $1.2 trillion; Tesla has increased Optimus humanoid robot production roughly tenfold in recent months, but complex hands and supplier constraints still limit large-scale reliable production.