Tim Green

Something strange happened in late 2025. Engineers at Anthropic noticed that their AI agents were choking on their own capabilities. The more tools they connected, the worse their systems performed. A typical setup linking five common enterprise services (GitHub, Slack, Sentry, Grafana, and Splunk) consumed roughly 55,000 tokens just in tool definitions before the agent had even read a single user request.

Somewhere inside a foundation model trained on millions of supposedly de-identified electronic health records, a ghost lingers. Not a literal one, of course, but a data spectre: the clinical history of a patient whose records were stripped of names, addresses, and social security numbers before ever touching an algorithm. The model was never supposed to remember this person. It was supposed to learn medicine. Instead, it learned a patient.

In December 2025, MIT announced a programme that would have seemed implausible even a decade earlier: a two-year master's degree designed to teach naval officers the fundamentals of artificial intelligence, machine learning, and autonomous systems.