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 2026-06-29.

AI Daily Digest — 2026-06-29: Exphormer: Scaling transformers for graph-structured data

1. Prosecutors used ChatGPT logs as evidence in the Palisades fire trial

Jonathan Rinderknecht was facing arson charges for setting a fire on New Year's Day in 2025, which became one of the deadliest wildfires in LA history. To make their case, prosecutors turned to location data from his iPhone, security camera footage, and witness testimony. But they also turned to his

Source: Prosecutors used ChatGPT logs as evidence in the Palisades fire trial

2. China’s Z.ai claims it can match Mythos on cybersecurity

China's Zhipu AI (Z.ai) released its open-weight GLM-5.2, and some researchers have claimed that it matches Mythos in certain bug-finding and cybersecurity scenarios. While GLM lags behind models from Anthropic and OpenAI in other, more general tasks, it seems that China has dramatically reduced the

Source: China’s Z.ai claims it can match Mythos on cybersecurity

3. Use Android Auto? How to limit what information Gemini learns about you

Google's AI offers a lot of convenience in your car, but you're offering up a lot of sensitive information.

Source: Use Android Auto? How to limit what information Gemini learns about you

4. Why Wall Street thinks US memory maker Micron is the next Nvidia

Eager to find more public AI-related companies that may do as well as Nvidia, Wall Street investors think they've found a winner with Micron.

Source: Why Wall Street thinks US memory maker Micron is the next Nvidia

5. Ford rehires ‘gray beard’ engineers after AI falls short

"Mistakenly we thought that by just introducing artificial intelligence ... that would produce a high-quality product.”

Source: Ford rehires ‘gray beard’ engineers after AI falls short

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. OpenAI will delay GPT-5.6 after Trump administration request

The Trump administration, apprehensive of potential security issues, has reportedly asked OpenAI to stagger the release of its next big-ticket model, GPT-5.6. The Information reported that OpenAI CEO Sam Altman told employees Wednesday in a company Q&A that it would release GPT-5.6 in limited previe

Source: OpenAI will delay GPT-5.6 after Trump administration request

10. When it comes to total water use, AI data centers are a drop in the bucket

Even moderately sized data centers can have an outsized local impact.

Source: When it comes to total water use, AI data centers are a drop in the bucket


💬 What Do You Think?

Which of today's stories matters most for developers? Are any of these trends overhyped? Drop a comment below — I read and reply to every discussion.


📡 Today's sources: arstechnica.com, blog.research.google, techcrunch.com, theverge.com, zdnet.com

AI Daily Digest is compiled daily from first-party AI company blogs, major news agencies, and technology press. Edited and curated by a human. Last updated: 2026-06-29.