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AI Daily Digest — 2026-08-17: Exphormer: Scaling transformers for graph-structured data

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 2026-08-17.

1. Rogue AI aren’t science fiction anymore

This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on AI safety, follow Robert Hart. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started It all started in July, when one of OpenAI's autonomous

Source: Rogue AI aren’t science fiction anymore

2. ChatGPT’s Computer History tracks your clicks and keystrokes

ChatGPT's desktop app on macOS has a new feature called Computer History that turns your actions into training data, learning how you work, suggesting automations, and even picking up tasks you left half done. It uses your activity to build a timeline that ChatGPT and Codex can reference when you ma

Source: ChatGPT’s Computer History tracks your clicks and keystrokes

3. OpenAI reportedly disbanded its preparedness team

According to the Financial Times, OpenAI disbanded its preparedness team at the end of last month. The job of the preparedness team was to assess if models posed serious risks and develop ways to mitigate those risks. (You know, like the possibility that it could go rogue and hack another company.)

Source: OpenAI reportedly disbanded its preparedness team

4. Anthropic CEO says AI backlash is ‘fundamentally a crisis of trust’

Dario Amodei is pushing back against the idea that he's been painting an overly pessimistic picture of AI.

Source: Anthropic CEO says AI backlash is ‘fundamentally a crisis of trust’

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. OpenAI’s expensive smart speaker will use moving parts to seem “more alive”

Gurman report claims OpenAI confirmed the speaker is not an Apple ripoff.

Source: OpenAI’s expensive smart speaker will use moving parts to seem “more alive”

9. From Apple to Ford: How Chinese tech is becoming harder for global companies to ignore

Global companies are increasingly tapping Chinese technology for its growing capabilities and scale, even as geopolitical risks remain.

Source: From Apple to Ford: How Chinese tech is becoming harder for global companies to ignore

10. Data centers in space could be a new frontier for insurers — if they can price the risk

The push to build data centers has moved to lower Earth orbit, and insurers could be facing a new market with plenty of complexity.

Source: Data centers in space could be a new frontier for insurers — if they can price the risk

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