Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

In my opinion, the future belongs instead to hyperspecialized AI models that are tailored to excel in hyper-specific domains.

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Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science ...

To address the challenge of controlling protein activation in living animals for gain-of-function studies, researchers from ...