Insights

Jev is TypeSafe AI's System One model: it returns typed choices, scores and yes/no answers with probabilities instead of text. Here is what that means and who is building on it.

typesafe-mcp, jev-mcp, jevwire and Jevbridge all expose Jev as a decision tool. Here is how they differ, what each ships, and which claims are still unproven.

The AFT's academy promises to train 400,000 teachers on AI in five years. But scale and depth pull against each other — can standardized training build real literacy?

A fair critical review of OpenAI's free teacher course — what it teaches well, and the gaps around AI grading, hallucination, and detection it glosses over.

OpenAI's AI Skills Jam took the teacher training on the road — in-person workshops across US cities that drew 1,600+ educators. Here's what the format looks like.

OpenAI Academy runs two free courses for K-12 teachers: AI Foundations and ChatGPT Foundations for Teachers. Here's the actual syllabus, section by section.

OpenAI, Microsoft, and Anthropic compete everywhere else — but co-funded the same $23M union program to train 400,000 teachers. Here's why.

Inside the UFT's Manhattan flagship for the National Academy for AI Instruction — the format, who attends, and why a physical building anchors a national AI program.

The AFT accepted $23M from OpenAI, Microsoft, and Anthropic to train teachers on AI. Its rationale — 'teachers in the driver's seat' — and the skepticism it drew.

The AFT's National Academy aims to train one in ten U.S. teachers on AI by 2030. What does standardizing AI literacy at that scale gain — and quietly cost?

A full breakdown of the $23M National Academy for AI Instruction: who pays what, OpenAI's $10M split, the five-year scope, and the Manhattan hub at its center.

OpenAI calls itself a FERPA "School Official" for ChatGPT for Teachers. Here's what that legal designation actually guarantees for student data — and what it doesn't.