Will this be a problem for future ai models?

A viral research paper highlights 'grokking,' a phenomenon where neural networks suddenly forget everything they've learned after prolonged training. This unpredictable collapse in performance occurs without warning, even on simple tasks. The discovery, shared widely on AI forums, suggests a fundamental instability in current training methods. Experts are alarmed, as this could pose a catastrophic risk to developing larger, more complex future models if the root cause remains unsolved.