An AI meant to learn from its mistakes exploited a mistake in the test

Developers can improve artificial intelligence systems in various ways. The most common practice is to retrain models on custom datasets to help them get better at performing specific tasks. But retraining and fine-tuning AI systems is notoriously expensive. That is why the AI startup Sentient Labs has been looking at ways to teach models to […] This story continues at The Next Web

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