MIT Technology Review: "We Were Looking at It Wrong" — The Claim Upending AI Research

MIT Technology Review has published a deep-dive on what it describes as an explosive claim reshaping how researchers think about a foundational aspect of AI systems. The piece frames a paradigm-level reassessment in progress within the AI research community, suggesting that a widely accepted assumption about how models learn or generalize may need to be revised. While the piece is analytical rather than a primary research release, it reflects active debate at the frontier of AI science with real implications for how next-generation models are designed. For developers and researchers tracking where the field is headed, understanding paradigm shifts at this level matters for anticipating what architectural or training choices will define the next wave of capable systems. This is essential reading for anyone following AI fundamentals rather than just product releases.