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 2026-07-04.
1. A behind-the-scenes look at Midjourney’s medical scanner leaves many questions unanswered
Midjourney has shown more of its futuristic medical scanner. It still hasn't shown much proof it works. The AI startup, best known for generating images, released a behind-the-scenes video of its dunk-tank ultrasound scanner, which it plans to deploy in spas and hopes will transform medicine with ch
Source: A behind-the-scenes look at Midjourney’s medical scanner leaves many questions unanswered
2. Anthropic wants to develop its own drugs
At the event "The Briefing: AI for Science" earlier this week, Anthropic announced Claude Science, a new "AI workbench for scientists" that pulls fragmented tools and datasets into one environment, and generates figures and visuals. Anthropic, already dominating the industry with its popular coding
Source: Anthropic wants to develop its own drugs
3. OpenAI proposes 5% stake to Trump administration to ease Washington pressure: Report
Trump said in June that the U.S. taking an ownership stake in AI giants would be "a beautiful thing" and make American public "partners in this revolution."
Source: OpenAI proposes 5% stake to Trump administration to ease Washington pressure: Report
4. Google DeepMind Unionization Talks Are Off to a Rocky Start
During negotiations on Wednesday, employees voiced frustrations with what they consider an unwillingness among executives to engage meaningfully with the prospect of unionization.
Source: Google DeepMind Unionization Talks Are Off to a Rocky Start
5. 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
6. 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
7. 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
8. Tidal won’t pay royalties on AI-generated music, but isn’t banning it outright
Tidal shared its new policies regarding AI-generated music today and how the platform plans to "protect artists" and "inform listeners." Instead of banning it outright, starting on July 15th Tidal will label tracks it has identified as being 100 percent AI-generated with an icon. But starting today
Source: Tidal won’t pay royalties on AI-generated music, but isn’t banning it outright
9. 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
10. Claude Code's product lead talks usage limits, transparency, and the "lean harness"
"We have no grand plan," says Anthropic's Cat Wu—but that's by design.
Source: Claude Code's product lead talks usage limits, transparency, and the "lean harness"
💬 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, cnbc.com, theverge.com, wired.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: 2026-07-04.