An Explanation of AI that Could Be Wrong (Which Is Good)
Chief Strategy Officer at 1EdTech, Michael Feldstein, announces his new paper “Distinctions Worth Preserving,” which proposes a falsifiable theory of what AI models actually learn during training. The work draws on decades of interdisciplinary research spanning cognitive science, linguistics, philosophy, and learning science, and includes an initial experiment that the theory passes. Feldstein also releases interactive GPT, Gemini, and Claude guides to help readers engage with the paper and invites the research community to test and potentially falsify his claims.
Learning Context and AI: A 1EdTech Labs Live Webinar
1EdTech Labs will host a live webinar on Feb. 26, 2026 to examine how learning context differs from raw data and how AI systems interpret it. The session builds on insights from a Microsoft‑hosted BETT UK event and proposes treating context...