Big tech’s AI research assistant just hit a major snag—over half its summaries are wildly inaccurate, risking scientists’ work. Built to uncover hidden patterns in research, it’s now steering experts astray. The team, frustrated after years of investment, is racing to fix how the AI handles complex jargon and nuance, retraining models and adding stricter checks. It’s a sobering reminder: even the smartest AI still needs human oversight to avoid costly mistakes.
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