Chain of News 26/06/2026

**Top Story** The White House has asked OpenAI to slow down the release of its new model, GPT 5.6, due to safety concerns. This move is significant as it highlights the growing awareness of the potential risks associated with advanced AI models. OpenAI has reportedly agreed to share the model with a select group of partners instead of releasing it to the broader public, which could have significant implications for developers who were eagerly awaiting the release. The Trump administration's intervention suggests that governments are starting to take a more active role in regulating the development and deployment of AI models, which could lead to increased scrutiny and potential regulatory hurdles for developers. This development is a clear indication that the AI industry is entering a new era of accountability, and developers will need to be more mindful of the potential risks and consequences of their creations. **AI Models & Research** The GitHub Copilot agentic harness has been evaluated for its performance and efficiency across multiple models and tasks, delivering strong results and leading token efficiency while maintaining flexibility to choose among more than 20 models. This is significant for developers as it highlights the potential of the GitHub Copilot agentic harness to improve the efficiency and effectiveness of AI-powered coding agents. The fact that the harness can maintain flexibility across multiple models is particularly noteworthy, as it suggests that developers can use the harness to experiment with different models and approaches without being locked into a single solution. Additionally, the recent leaderboard rankings, which saw Claude Code edge out OpenAI's Codex in VS Code's Agentic AI Marketplace, demonstrate the rapidly evolving landscape of AI coding agents and the need for developers to stay up-to-date with the latest advancements. **Developer Tools & Frameworks** GitHub Copilot for Jira is now generally available, offering a range of enhancements based on user feedback, including model selection. This release is significant for developers as it provides a powerful tool for streamlining coding workflows and improving productivity. With GitHub Copilot for Jira, developers can leverage the power of AI-powered coding agents to automate routine tasks, improve code quality, and reduce the risk of errors. The fact that the tool has been enhanced based on user feedback suggests that the developers behind GitHub Copilot are committed to delivering a high-quality user experience and responding to the needs of the development community. Furthermore, the recent release of Claude Code, which has been shown to outperform OpenAI's Codex in certain benchmarks, provides developers with another option for AI-powered coding agents, highlighting the growing competition and innovation in this space. **Industry & Business** The "Cinco Ojos" intelligence alliance has warned that AI models pose enormous risks to cybersecurity, highlighting the need for developers to prioritize security and responsible AI development. This warning is significant as it comes from a prominent intelligence alliance and underscores the potential consequences of neglecting cybersecurity in AI development. The alliance's warning suggests that developers and organizations must take a more proactive approach to addressing cybersecurity risks associated with AI models, which could involve implementing robust testing and validation protocols, as well as investing in cybersecurity research and development. In a separate development, hundreds of artists in New York have called for a two-year moratorium on the use of AI in public schools, citing concerns about the impact of AI on education and the arts. This move highlights the growing debate about the role of AI in education and the need for developers to consider the social and cultural implications of their creations. **Worth Watching** The recent article by Gartner, which suggests that AI coding agents will cost more than real developers, is worth watching as it highlights the potential economic implications of adopting AI-powered coding agents. This article is significant as it challenges the common assumption that AI-powered coding agents will necessarily lead to cost savings and increased efficiency. Instead, the article suggests that the cost of implementing and maintaining AI-powered coding agents could outweigh the benefits, at least in the short term. This development is worth watching as it could have significant implications for the adoption and development of AI-powered coding agents, and highlights the need for developers to carefully consider the economic and social implications of their creations. Additionally, the ongoing debate about the use of AI in education, as highlighted by the recent call for a moratorium in New York, is worth watching as it underscores the need for developers to consider the social and cultural implications of their creations.