Charity

AI enthusiasts are in a race against time, AI skeptics are in a race against entropy (xpost)

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A nuanced take on the growing divide between AI enthusiasts and AI skeptics in engineering organizations. Both sides face real existential threats: enthusiasts worry about being outcompeted by AI-native teams, while skeptics watch reliability and institutional knowledge erode as code ships faster than anyone can read it. The post argues there is no natural feedback loop connecting the wins (visible to enthusiasts) with the costs (absorbed by skeptics), and proposes two fixes: telling the whole story including downstream consequences, and treating AI adoption as an engineering problem rather than a rhetorical battle. Uses Fin (formerly Intercom) as a concrete example of 3x productivity gains achieved through disciplined AI adoption. Emphasizes that engineering discipline is more critical than ever, and that skeptics who build AI credibility earn the standing to shape how it gets used.

•17m read time•From charity.wtf
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Table of contents
People are retreating into camps and circling the wagonsI am writing for solid teams that are doing the workThere is no natural feedback loop connecting enthusiasts with skepticsNo, it’s not all hype (the Fin story)We can fix thisFirst: Tell the whole story. Talk about the wins, and talk about what they cost usSecond: Treat this like an engineering problem, not a rhetorical oneEngineering discipline has never been more vitalStick close to reality, not hypotheticals or maximalist stancesThe credibility of expertise, the moral authority of ownershipThis is the leadership challenge of the present moment
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