Chain of News 06/07/2026

**Top Story** Meta Platforms has restricted its engineers from using Anthropic's Claude and OpenAI's Codex, according to a report by Crypto Briefing. This move is significant as it highlights the growing competition in the AI landscape, with major tech companies seeking to develop their own AI capabilities rather than relying on third-party solutions. The restriction is likely to impact the development of AI-powered projects within Meta, as engineers will have to rely on in-house AI tools instead of leveraging the capabilities of external models like Claude and Codex. This development matters for AI developers as it underscores the importance of developing proprietary AI technologies to maintain a competitive edge. As the AI landscape continues to evolve, companies will need to balance the use of external AI models with the development of their own AI capabilities to stay ahead. The implications of this move will be closely watched by the AI community, as it may set a precedent for other tech companies to follow. **AI Models & Research** A recent trend has emerged where some of the nation's wealthy are turning to AI to teach their kids, despite the lack of trust in AI among the general population. This development is noteworthy as it highlights the potential for AI to disrupt traditional education models, particularly among affluent households. The fact that AI can be used to teach kids, even if it's not widely accepted, demonstrates the versatility of AI and its potential to impact various aspects of our lives. Another significant development is the ongoing research in AI safety, as evidenced by the example of AI not knowing what safe toppings for pizza are. This research is crucial as it underscores the need for AI models to be designed with safety and common sense in mind. Furthermore, the fact that people are hesitant to listen to AI-generated music demonstrates the challenges that AI developers face in creating models that can produce high-quality, human-like content. **Developer Tools & Frameworks** The release of the 7.2-rc2 kernel prepatch is a significant development for developers, as it provides an opportunity for testing and feedback. According to Linus, the prepatch is "not a small rc2, but it's in line with recent releases, and slightly smaller than rc2 was in 7.1." This update is notable as it demonstrates the ongoing efforts to improve the stability and performance of the kernel. With this release, developers can now test the latest kernel prepatch and provide feedback to the development team. The kernel prepatch is an essential tool for developers, as it allows them to stay up-to-date with the latest kernel developments and ensure that their applications are compatible with the latest kernel versions. By testing the prepatch, developers can help identify and fix bugs, ultimately contributing to the stability and security of the kernel. **Industry & Business** Meta Platforms' decision to restrict its engineers from using Anthropic's Claude and OpenAI's Codex has significant implications for the AI industry. This move highlights the growing competition among tech companies to develop their own AI capabilities, rather than relying on third-party solutions. The restriction may also impact the business models of companies like Anthropic and OpenAI, which rely on licensing their AI models to other companies. As the AI landscape continues to evolve, companies will need to adapt their business strategies to stay competitive. The fact that some of America's wealthy are turning to AI to teach their kids also highlights the potential for AI to disrupt traditional education models, creating new business opportunities for companies that can develop effective AI-powered education solutions. **Worth Watching** The trend of using AI to teach kids is an interesting development that deserves attention. While it may not be widely accepted, it demonstrates the potential for AI to disrupt traditional education models and create new opportunities for learning. The fact that people are hesitant to trust AI, as evidenced by their reluctance to listen to AI-generated music, is also noteworthy. This highlights the challenges that AI developers face in creating models that can produce high-quality, human-like content that is acceptable to humans. Furthermore, the release of the 7.2-rc2 kernel prepatch is worth watching, as it provides a glimpse into the ongoing efforts to improve the stability and performance of the kernel. As the AI and kernel development landscapes continue to evolve, it will be interesting to see how these developments impact the broader tech industry.