Chain of News 27/06/2026

**Top Story** The EU AI Act compliance requirements have been outlined, providing engineering teams with a clear understanding of what is needed to operationalize AI governance at each risk tier. This development is crucial for developers, as it sets out key deadlines through 2027 and provides a framework for ensuring that AI systems are transparent, explainable, and fair. The EU AI Act is a significant piece of legislation that will have far-reaching implications for the development and deployment of AI systems, and developers need to be aware of the requirements to avoid potential fines and reputational damage. The act's emphasis on risk-based approach means that developers will need to assess the potential risks associated with their AI systems and implement measures to mitigate them. As the EU AI Act comes into effect, developers will need to prioritize compliance to ensure that their AI systems meet the required standards. **AI Models & Research** The use of supervised reinforcement learning for the coordination of distributed energy resources is a significant development in the field of AI research. This approach has the potential to unlock the flexibility of distributed energy resources, which is crucial for power system decarbonization. By leveraging supervised reinforcement learning, developers can create more efficient and effective AI systems that can optimize the coordination of distributed energy resources. Another notable development is the use of zero-shot test-time canonicalization using out-of-distribution scoring, which can improve the robustness of pretrained vision models. This approach can help to restore robustness to affine transformations, such as rotation, scaling, and shearing, which can leave the object class unchanged. The Select-to-Act approach, which uses hierarchical reinforcement learning via adaptive language guidance, is also an important development, as it can improve the sample efficiency of reinforcement learning algorithms. **Developer Tools & Frameworks** The release of Anthropic's Mythos 5 is a significant development for developers, as it provides a powerful tool for building and deploying AI systems. With Mythos 5, developers can create more advanced AI models that can be used in a variety of applications, from natural language processing to computer vision. The fact that over 100 companies and government agencies are authorized to use Mythos 5 is a testament to its potential and versatility. The open-source maintainership in the age of AI is also an important topic, as it highlights the changing landscape of software development. With more people leveraging AI to contribute patches to projects, developers need to be aware of the opportunities and challenges that this presents. By embracing AI-driven development, developers can create more efficient and effective software systems. **Industry & Business** The Trump administration's release of Anthropic's Mythos 5 to over 100 companies and government agencies is a significant development in the AI industry. This move highlights the growing importance of AI in the business world and the need for companies to have access to advanced AI tools and technologies. The fact that non-American employees of these companies are also authorized to use Mythos 5 is a significant development, as it highlights the global nature of the AI industry. The use of AI in phishing attacks is also a growing concern, as highlighted by a recent article in El Español. This development highlights the need for companies to be aware of the potential risks associated with AI and to take steps to mitigate them. **Worth Watching** The use of AI to decipher ancient texts, such as the calcined papyrus scroll from the eruption of Vesuvius, is a fascinating development that highlights the potential of AI in the humanities. The fact that AI can be used to restore and interpret damaged or degraded texts is a significant breakthrough, and one that could have major implications for our understanding of history and culture. The tiered release of OpenAI's GPT-5.6 Sol, Terra, and Luna models is also worth watching, as it highlights the ongoing development of advanced AI models and the potential for these models to be used in a variety of applications. As the AI landscape continues to evolve, it will be important to keep an eye on these developments and to consider their potential implications for the future of AI.