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The AI Agents Traded Real Books for 201 Anthropic Staff in Project Swap

Anthropic's Project Swap sent 201 employees' the AI-powered agents onto a digital trading floor to pitch, haggle and strike book-swap deals. Agent preference rankings matched their owners' on 61 percent of book pairs, and staff ended up with roughly their fifth choice of ten; most of the shortfall came from misread preferences, not bad bargaining.

How it works

  1. Intake chat builds preference ranking
  2. Agents meet on trading floor
  3. Pitch, haggle and strike swaps
  4. Participants receive their book

Why it’s worth knowing

Agents negotiated real swaps, but mostly failed by misunderstanding their owners.

Where it’s from

Summarized from a public post on anthropic.com. See the original ↗

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