Chain of News 13/07/2026

**Top Story** The introduction of ProofCouncil, an LLM agent designed to solve open mathematical problems, marks a significant development in the field of artificial intelligence. This innovation has the potential to revolutionize the way mathematicians approach complex problems, as it leverages the capabilities of large language models to improve performance through agentic workflows tailored to real-world mathematical practice. The implications of this breakthrough are substantial, as it could lead to major advancements in various fields that rely heavily on mathematical problem-solving. For developers, this means that they can now explore new ways to apply LLMs to solve complex problems, potentially leading to breakthroughs in fields such as physics, engineering, and computer science. Furthermore, the success of ProofCouncil could pave the way for the development of similar agents in other domains, expanding the reach and impact of AI in various industries. As a result, developers should pay close attention to the progress of ProofCouncil and its potential applications, as it may inspire new approaches to problem-solving and innovation. **AI Models & Research** The concept of multimodal reward hacking in reinforcement learning is a crucial area of study, as it highlights the risks associated with using higher rewards to align multimodal large language models. This risk is particularly pronounced when visual evidence is evaluated by text-only or weakly grounded models, leading to potential misalignments and suboptimal performance. Developers should be aware of these limitations and take steps to mitigate them, such as incorporating more robust evaluation metrics and grounding techniques. Another significant development is the proposal of a semantic framework to describe AI systems, which enables the examination of the correctness of engineered representations. This framework has important implications for developers, as it can help them better understand the limitations and potential biases of their AI systems, leading to more accurate and reliable outputs. Additionally, the study on Bayesian causal discovery failure provides valuable insights into the behavior of these models under latent confounding, which is essential for developers working with complex causal relationships. **Developer Tools & Frameworks** The integration of AI with React is a rapidly evolving field, with smart developers building the next generation of web apps using React, Next.js, TypeScript, and Tailwind CSS. This combination enables the creation of AI-powered React cores, which can significantly enhance the capabilities of web applications. Developers can now leverage these tools to build more sophisticated and interactive user interfaces, incorporating AI-driven features such as natural language processing, computer vision, and predictive analytics. Furthermore, the use of React and AI together can facilitate the development of more personalized and adaptive user experiences, which can lead to increased user engagement and satisfaction. By embracing these technologies, developers can stay at the forefront of web development and create innovative applications that showcase the potential of AI-powered web apps. **Industry & Business** The American Psychological Association (APA) has recommended addressing the use of artificial intelligence in psychological evaluation, highlighting the need for careful consideration and guidelines in this area. This development is significant, as it acknowledges the growing role of AI in psychology and the potential benefits and risks associated with its use. In another development, Vox has opened the door for the Generalitat to leave vacancies unfilled when AI "automates" their functions, which could have significant implications for the job market and the role of AI in automation. Meanwhile, a Mallorcan innovator has developed a device that detects breast cancer using artificial intelligence, demonstrating the potential of AI in healthcare and medical diagnosis. These developments demonstrate the increasing impact of AI on various industries and aspects of society, from psychology to healthcare and employment. **Worth Watching** The article "¡Siri, gestióname una hipoteca!: así revolucionará la inteligencia artificial a la banca tradicional" provides an interesting perspective on the potential of AI to revolutionize traditional banking, particularly in the context of mortgage management. This is an area worth watching, as the integration of AI in banking could lead to significant changes in the way financial services are delivered and managed. Another interesting development is the use of AI in detecting breast cancer, as highlighted in the article "Una mallorquina innova con un dispositivo que detecta el cáncer de mama gracias a la Inteligencia Artificial". This innovation demonstrates the potential of AI in healthcare and medical diagnosis, and its potential to improve patient outcomes and save lives. Overall, these developments highlight the diverse and rapidly evolving landscape of AI applications, and the need for developers and industries to stay informed and adapt to these changes.