Shadowless

Following our recent defense announcements, our team just completed a major project with Japan’s Ministry of Internal Affairs and Communications (@MIC_JAPAN). 🇯🇵 We built an end-to-end intelligence system to visualize and counter disinformation on social media. Blog (Japanese): sakana.ai/mic-project/ Tackling disinformation at a national scale is incredibly complex. It requires understanding shifting social narratives, not just flagging individual posts. To do this, our team deployed autonomous AI agents running novelty searches to uncover hidden narratives. To catch sophisticated disinformation strategies, they combined frontier foundation models with our proprietary small models to cover each other’s blind spots. We adapted our Shachi simulation framework (arxiv.org/abs/2509.21862) to model how counter messaging spreads across different network topologies before deployment. This is another milestone for @SakanaAILabs’ Defense and Intelligence team, as we build critical infrastructure to help strengthen Japan.

Today we announced a strategic alliance with @UMG to co-develop professional AI music creation tools, powered by responsibly trained generative AI and built to support the creative process of artists, producers and songwriters globally. You can learn more about our collaboration here 👉 bit.ly/47ib04I

A "Neural Computer" is built by adapting video generation architectures to train a World Model of an actual computer that can directly simulate a computer interface. Instead of interacting with a real operating system, these models can take in user actions like keystrokes and mouse clicks alongside previous screen pixels to predict and generate the next video frames. Trained solely on recorded input and output traces, it successfully learned to render readable text and control a cursor, proving that a neural network can run as its own visual computing environment without a traditional operating system. arxiv.org/abs/2604.06425 Cool work by @MingchenZhuge @SchmidhuberAI et al.!

Stacked PRs on @GitHub are now in private preview. Join the waitlist and learn more below github.github.com/gh-stack/