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Anthropic co-founder Jack Clark argues that narrowly focused AI papers can reveal the difficulties of putting systems to work in the real world. The titles, he notes, can occasionally have a little poetry about them too.
Why it mattersThat is a useful reminder that an applied paper may tell us more about deployment than another grand claim about general capability. But Clark’s observation is a perspective, not evidence about the results or value of any particular paper.
Discuss: Should AI research be judged more by how clearly it tackles a real-world problem, or by how far its findings might generalise?
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