Introducing ChatGPT Space

This link leads to one of the most interesting things I’ve seen in AI recently.

What’s cookin’? OpenAI has introduced ChatGPT Space, a shared workspace where teams can create documents, organize files, and work alongside ChatGPT in the same place. Space includes collaborative “pages” that can hold writing, research, prototypes, data, and project plans, while pulling context from connected tools. Teammates can edit together, leave comments, and tag ChatGPT, Codex, or an AI “dot” to make changes or handle next steps. Pages can even update as information changes elsewhere. Space is currently available for Pro, Business, and Enterprise users, with collaborative slides and spreadsheets coming soon.

🤔 Hunter’s take: OpenAI is trying to move ChatGPT from the little box you ask questions in to the actual place where work happens. If your documents, coworkers, data, and AI agents all share the same context, you spend a lot less time explaining what’s going on, and a lot more time actually getting things done.

What’s cookin’? President Trump has announced a new federal “Super Intelligence Force” aimed at coordinating America’s approach to advanced AI. The group will work with tech companies, consumers, public-interest organizations, religious groups and infrastructure providers, while helping the U.S. set standards for AI development. It follows a White House meeting with leaders from OpenAI, Anthropic, Google, Meta, Nvidia and SpaceXAI, where companies agreed to voluntary safety rules. Those commitments include internal testing, outside audits, board-level reviews and regular meetings to develop shared safety practices.

🤔 Hunter’s take: The U.S. clearly wants to move fast enough to stay ahead in AI, but it also doesn’t want these systems developing with zero guardrails. So instead of heavy regulation, the current bet is cooperation: let the companies building the technology help police themselves. That might keep innovation moving, but there’s an obvious tension here. The same companies being asked to slow down when something looks dangerous are also competing to build the most powerful AI first. Self-policing works a lot better when safety and winning point in the same direction. The real test comes when they don’t.

Here’s your chance to get a straightforward answer, from an expert in the field.

Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.