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AI Daily Digest — 2026-09-07: Why China Is the Bogeyman Data Center Enthusiasts Just Can't Quit

Your daily briefing on what's happening in AI — from groundbreaking research to industry moves, curated from the world's most trusted sources. Here are the top stories for 2026-09-07.

1. Seattle Times and Newsday sue OpenAI and Microsoft for infringement

The Seattle Times and Newsday are just the latest plaintiffs to take OpenAI to court, alleging copyright infringement. The two outlets say the company used their journalism as training data for its AI models without permission and often reproduces passages from their reporting in response to user qu

Source: Seattle Times and Newsday sue OpenAI and Microsoft for infringement

2. Why China Is the Bogeyman Data Center Enthusiasts Just Can't Quit

Polls show that overwhelming majorities of Americans hate data centers. China makes a perfect scapegoat for tech leaders and their allies—the only problem is a lack of evidence.

Source: Why China Is the Bogeyman Data Center Enthusiasts Just Can't Quit

3. Many truckers don't feel like the rest of America about AI data centers as business booms

Sprawling data center components from HVAC systems to tubing, wiring and semiconductors arrive primarily by truck, a boon for a business hit hard by trade wars.

Source: Many truckers don't feel like the rest of America about AI data centers as business booms

4. ‘Model fatigue’ sets in as AI labs race to roll out new versions at frenetic pace

Anthropic, OpenAI, Meta and Google all released model updates this week, while Nvidia said it's acquiring open-source AI platform Hugging Face.

Source: ‘Model fatigue’ sets in as AI labs race to roll out new versions at frenetic pace

5. Authors push back as publishers and agents make claims on Anthropic settlement

Authors say publishers seem to be claiming more than their fair share of settlement payments.

Source: Authors push back as publishers and agents make claims on Anthropic settlement

6. Exphormer: Scaling transformers for graph-structured data

Posted by Ameya Velingker, Research Scientist, Google Research, and Balaji Venkatachalam, Software Engineer, Google Graphs , in which objects and their relations are represented as nodes (or vertices) and edges (or links) between pairs of nodes, are ubiquitous in computing and machine learning (ML).

Source: Exphormer: Scaling transformers for graph-structured data

7. Mixed-input matrix multiplication performance optimizations

Posted by Manish Gupta, Staff Software Engineer, Google Research AI-driven technologies are weaving themselves into the fabric of our daily routines, with the potential to enhance our access to knowledge and boost our overall productivity. The backbone of these applications lies in large language mo

Source: Mixed-input matrix multiplication performance optimizations

8. MobileDiffusion: Rapid text-to-image generation on-device

Posted by Yang Zhao, Senior Software Engineer, and Tingbo Hou, Senior Staff Software Engineer, Core ML Text-to-image diffusion models have shown exceptional capabilities in generating high-quality images from text prompts. However, leading models feature billions of parameters and are consequently e

Source: MobileDiffusion: Rapid text-to-image generation on-device

9. This NAS company wants to run your local smart home

Ugreen, known for its phone power banks, chargers, and NAS storage solutions, is moving into the smart home - in a big way. This week at the IFA tech show, the company launched its HomeAgent smart home platform that combines security camera storage, on-device AI, and smart home control in one system

Source: This NAS company wants to run your local smart home

10. Sam Altman apologizes for ‘messy’ GPT-6 Astra rollout that’s locked out paying users

Just hours after OpenAI launched GPT-6 Astra, CEO Sam Altman was already apologizing for what he describes as a "messy rollout" after paying users expecting access to the new frontier model were left waiting. The company hailed the model as a "generational leap in capability" on Thursday and describ

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