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AI Daily Digest — 2026-06-15: A year after Meta tapped Alexandr Wang to build a new AI model, Z

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 2026-06-15.

1. China may have accessed Mythos

According to a new report from Semafor, the White House's decision to impose export restrictions on Anthropic's Mythos was driven in part by fears that it had been accessed by a group linked to China. If the Chinese government actually had access to Mythos 5 or Fable 5, it would present a serious na

Source: China may have accessed Mythos

2. As Anthropic suspends access to new models, India debates its AI future

Tech leaders debate whether the Anthropic episode is a wake-up call for India’s AI ambitions.

Source: As Anthropic suspends access to new models, India debates its AI future

3. A year after Meta tapped Alexandr Wang to build a new AI model, Zuckerberg has to sell it

Mark Zuckerberg's mega spending spree began a year ago, when he lured Alexandr Wang to oversee a new AI strategy. The results so far are underwhelming.

Source: A year after Meta tapped Alexandr Wang to build a new AI model, Zuckerberg has to sell it

4. 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

5. 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

6. 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

7. Jeff Bezos’ AI startup aims to build an ‘artificial general engineer’

Amazon founder Jeff Bezos says his new AI startup will work toward developing an "artificial general engineer," according to reports from The New York Times and CNBC. The startup, called Prometheus, aims to develop AI-powered engineering tools to aid in the design of physical products. The NYT first

Source: Jeff Bezos’ AI startup aims to build an ‘artificial general engineer’

8. The future of Hollywood isn’t feeding prompts into vanilla gen AI models

For all the noise that's been made about how generative AI is poised to revolutionize the filmmaking industry, there haven't really been any projects created with the technology that felt like the sort of entertainment people would pay to see. Most AI firms' video models are still only capable of ch

Source: The future of Hollywood isn’t feeding prompts into vanilla gen AI models

9. Study: AI models that consider users' feelings are more likely to make errors

Overtuning can cause models to "prioritize user satisfaction over truthfulness.”

Source: Study: AI models that consider users' feelings are more likely to make errors

10. Seoul Purpose: How NVIDIA and South Korea Are Building the Future of AI

Home to cutting-edge sovereign AI infrastructure and robotics innovators, as well as one of the world’s most passionate gaming communities, South Korea is one of the world’s centers of AI. NVIDIA founder and CEO Jensen H

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