#ChatGPT is the best free teacher. But most people only leverage 10% of its capability. Here are the best prompts to learn anything faster:

List of trillionaires: 1. Elon Musk

#ChatGPT is the best free teacher. But most people only leverage 10% of its capability. Here are the best prompts to learn anything faster:

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🚨 The biggest myth in AI safety just exploded Everyone’s been acting like “machine unlearning” is the magic fix. Delete the bad data, make the model safe. Simple, right? Wrong. Oxford MIT just dropped a paper that basically says: none of this works. Unlearning sounds neat until you see how fast it breaks. 1. Reconstruction trap - Delete info and the model rebuilds it from leftovers. Remove chemical steps? It just re-derives them from basic chemistry. 2. Dual-use nightmare - Teaching an AI to defend also means it learns to attack. You can’t unlearn that context selectively. 3. False verification - Tests only check if it repeats the same data, not if it still knows the ability under new phrasing. 4. Fine-tuning comeback - A few dozen examples can make it relearn everything. Minutes, not months. Here’s the kicker: Unlearning works for GDPR or factual fixes. But when you try to erase capabilities it collapses. You can delete a fact. You can’t delete an ability built from thousands of them. The researchers even warn: stack too many safety tricks (unlearning adversarial robustness) and you just make the model dumber, not safer. We’ve been treating unlearning like a seatbelt. It’s really just a sticker on the dashboard. Time to stop pretending this is the fix and start designing systems that control what AI can do, not just what it remembers.