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A Head of Engineering shares impressions from meeting AI startups in SF, warning that many lack a business model, and advises established companies to be cautious in copying their practices.
A developer argues that businesses should stop forcing AI into minimal viable products if their underlying data infrastructure is poor, and instead focus on solving specific bottlenecks with deterministic code or data cleanup before pursuing custom AI integrations.