The Builder's Brief
AI updates: new policies, chat apps, and body simulation
Monday, May 25, 2026
Jack Dorsey argues AI will replace middle management within 5 years, citing increased productivity and efficiency. This shift could significantly impact the job market and company structures. As AI continues to advance, its potential to automate managerial tasks is becoming more apparent. With the ability to analyze data and make decisions, AI may soon be able to handle tasks traditionally performed by human managers.
Recent advancements in AI have enabled the creation of highly realistic fake human bodies. This technology has potential applications in fields such as healthcare, entertainment, and education. However, it also raises concerns about privacy and the potential for misuse. As AI-generated content becomes increasingly sophisticated, it is essential to consider the implications of this technology on society.
Anthropic has released its responsible scaling policy v3, outlining guidelines for the development and deployment of AI models. This policy aims to ensure that AI systems are designed and used in a way that prioritizes safety, transparency, and accountability. As AI becomes increasingly integrated into various aspects of life, responsible scaling policies are crucial for mitigating potential risks and ensuring beneficial outcomes.
Slack has announced its expansion beyond a traditional chat app, incorporating new features and functionalities. This move aims to increase user engagement and provide a more comprehensive platform for team collaboration. With the rise of remote work, Slack's evolution is likely to have a significant impact on the way teams communicate and work together.
Researchers have introduced CoCoDiff, a novel training-free and low-cost style transfer framework. This model enables fine-grained style transfer between images while preserving semantic correspondence. CoCoDiff has potential applications in fields such as computer vision, graphics, and art. Its ability to perform high-quality style transfer could revolutionize the way we approach image and video editing.
A recent article explores the idea that AI models may not require more RAM to improve performance, but rather better mathematical foundations. This perspective challenges the conventional wisdom that increased computational power is necessary for AI advancements. By focusing on mathematical improvements, researchers may be able to develop more efficient and effective AI models.
Researchers have demonstrated that large language model-based AI agents can autonomously execute substantial portions of a high energy physics analysis pipeline. This breakthrough has significant implications for the field of physics and highlights the potential of AI to accelerate scientific discovery. By automating tasks such as event selection and background estimation, AI can free up human researchers to focus on higher-level tasks and interpretation.
• Slack expands beyond chat
• AI builds fake human bodies
• Dorsey argues AI replaces managers
• CoCoDiff enables fine-grained style transfer
Think your CV is perfect? Let AI prove you wrong in seconds — brutal, honest, and hilarious feedback.
Try it free →🧠 Fun Fact: 70% of AI models use less than 1GB RAM
