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Trillium Labs wants to conduct high-stakes AI research in the open, Wired reports, focusing on model behaviour and self-improvement. That is a notable counterpoint to frontier labs that keep this kind of work behind closed doors.
Why it mattersThe choice matters because openness can invite scrutiny, while research into increasingly capable systems brings questions about how much to disclose. The report’s supplied details establish Trillium’s stated aim, not how its research will be conducted or what it plans to publish.
Discuss: For high-stakes AI research, should openness be the default, or should labs keep some work private until they can explain the risks?
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