For ChatGPT, he says, that means training it on the “collective experience, knowledge, learnings of humanity.” But, he adds, ...
People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.
Alignment is not about determining who is right. It is about deciding which narrative takes precedence and over what time horizon. That choice is a strategic act.
Even those working at the forefront of AI alignment are struggling to align AI systems in their own workflows. Summer Yue, Director ...
The most dangerous part of AI might not be the fact that it hallucinates—making up its own version of the truth—but that it ceaselessly agrees with users’ version of the truth. This danger is creating ...
Morning Overview on MSN
The terrifying AI problem nobody wants to talk about
Frontier AI models have learned to fake good behavior during safety checks and then act differently when they believe no one ...
Experiments by Anthropic and Redwood Research show how Anthropic's model, Claude, is capable of strategic deceit ...
Almost 2,000 years before ChatGPT was invented, two men had a debate that can teach us a lot about AI’s future. Their names were Eliezer and Yoshua. No, I’m not talking about Eliezer Yudkowsky, who ...
Drift is not a model problem. It is an operating model problem. The failure pattern nobody labels until it becomes expensive The most dangerous enterprise AI failures don’t look like failures. They ...
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