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AI is increasingly being used to speed up research and development, argues VCCafe in “When AI Builds AI”. The piece sees opportunity in specialist optimisation and evaluation, but warns that faster progress can also bring shared blind spots and errors.
Why it mattersThat is a useful tension: AI-assisted work may move milestones along, but speed is not the same as reliable results. The article’s account is broad rather than a report of a specific new system or measured breakthrough, so the practical question is how teams check the work their tools help produce.
Discuss: Should AI-assisted research be judged chiefly by how quickly it reaches milestones, or by how well its results can be independently checked?
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