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Opinion: I built AI clones of my coworkers and they turned out weird

The author, a WIRED reporter, used Condé Nast’s Gemini platform to create two AI “clones” of editors Brian Barrett and Sophie Kleeman. By feeding Gemini roughly a month’s Slack messages – about 17,000 words for Sophie Bot – and a few months of public material for Brian Bot, the bots generated style guides, editorial dossiers, and draft ideas. The bots could suggest headlines and even write…

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Key points

  • The author fed Gemini about 17,000 words of Slack messages to build a Sophie Bot that could draft tweets and replies.
  • BCG research found managers caught 18 % fewer errors in work labeled as coming from an AI employee.
  • McKinsey reports its workforce includes 40,000 humans and 20,000 AI agents, targeting a 1:1 ratio by year‑end.

Colleagues reacted negatively: Brian called the experiment a “nightmare,” and Sophie described her bot as “a bitch.” A friend who calls himself “Chip” claims his own AI assistant, built with Gemini’s Gem feature, makes him more efficient, echoing a Boston Consulting Group paper that found managers caught 18 % fewer errors in work labeled as coming from an AI employee. The piece also cites McKinsey’s claim that its workforce now includes 40,000 humans and 20,000 AI agents, aiming for a 1:1 ratio by year‑end. The author concludes that while the bots were occasionally helpful, they underscored the limits of AI coworkers and the need to retain human judgment.

Read the original at Wired AI · by Kate TaylorOpen source ↗
Topics · follow one to build your own front page
Condé NastLatticeBoston Consulting GroupMcKinsey & CompanyAnythingStableGeminiBrian BarrettSophie KleemanSarah FranklinJulie BedardDhruv AminBob Sternfels

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