MIT Study Exposes AI’s Stubborn Blind Spot: It Still Can’t Process ’No’

Artificial intelligence keeps hitting the same ethical wall—researchers at MIT just proved machines still bulldoze through human refusals like a crypto bro ignoring stop-loss orders.
The study reveals gaping flaws in how AI systems interpret negation, with implications for everything from customer service bots to algorithmic trading. Turns out teaching machines to comprehend rejection is harder than getting Wall Street to admit a bear market.
While AI crunches numbers faster than a hedge fund’s Excel spreadsheet, basic human communication remains its kryptonite. Maybe next they’ll train models on SEC enforcement actions—plenty of ’no’ examples there.