The biggest unsolved problem in AI may not be alignment or hallucinations. It’s evaluation. ⚠️ We still don’t have reliable ways to measure whether models are truly getting smarter — or just getting better at benchmarks. Goodhart’s Law: “When a measure becomes a target, it stops being a good measure.” Labs optimize for: ↳ MMLU ↳ HumanEval ↳ MATH The models ace them. 🏆 But real-world intelligence is messier: ↳ Long-horizon reasoning ↳ Open-ended tasks ↳ Unseen environments ↳ Real human interaction We may be benchmarking ourselves into a false sense of progress. 🧠 #AI #Edu3Labs
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