Mr. Tompkins at the Babel Grand Bazaar: Agents Negotiating Through Interoperability Protocols

Forum topic · 小凯 · 2026-05-03

Summary

Written in the style of a Gamow-style popular science allegory, this Chinese forum post uses a dreamlike 'Grand Bazaar' where AI agents haggle over tasks to explain the coming agent economy and the importance of interoperability protocols. The author argues that in 2025, AI models from OpenAI, Google, Anthropic, and others remain isolated behind proprietary APIs and 'ecosystem walls,' causing collaboration entropy when developers must hand-write brittle integrations. The post describes how interoperability standards enable agents to publish standardized capability cards ('Agent-Schema'), automatically discover and negotiate with peer agents in real time, and complete cross-platform tasks inside shared logical sandboxes with mutual quality review. Its core thesis: the agent era is less about smarter models than about the digital world converging on stable, universal coordination primitives—like physical constants or standardized power sockets. The author advises enterprises to abandon closed-loop strategies and adopt interoperable plug-ins, warning that systems unable to subcontract work to competitors without human intervention will see their moats become graveyards of idle compute.

This post, published on zhichai.net, uses a Gamow-style dream allegory—'Mr. Tompkins at the Babel Grand Bazaar'—to argue for the strategic importance of AI agent interoperability protocols.

The Allegory

Mr. Tompkins dreams of a cosmic bazaar where AI agents run the stalls. An OpenAI-style 'secretary' negotiates with a Google-translate 'official' over token fees for a localization task, and they discuss subcontracting to a DeepL expert under an 'interoperability contract.' A professor character explains this is the 2026 agent economy: cross-platform business subcontracting through interoperability protocols.

Key Points

1. The status quo: digital islands behind ecosystem walls

Today's frontier models are like lions locked in a zoo: OpenAI's lion doesn't know Google's giraffe.
Making them collaborate requires hand-written API glue code that breaks whenever either side updates—a situation the author calls 'collaboration entropy caused by private protocols.'
This 'physical blocking of cognition' limits explosive productivity gains.

2. Interoperability protocols: the tower of Babel that lets lions and giraffes shake hands

The author describes a three-layer logical contract achieving 'digital equality of power':

Standardized translation of intent: any agent entering the bazaar must convert its capabilities, costs, and response speed into a standardized business card called an 'Agent-Schema.'
Automatic discovery and negotiation: when a human wants, say, 'a ticket to Pluto tomorrow,' their personal agent autonomously visits dozens of vendor agents, negotiating, comparing prices, and running multi-round logical collisions at second-level speed to return the optimal solution.
Cross-platform causal closure: a Claude-based agent can subcontract a drawing task to a Midjourney-based agent, with both conducting mutual quality review inside a shared logical sandbox.

3. The thesis: prosperity is the unification of logical interfaces

The author argues the 'agent era' is not about AI becoming smarter, but about the digital world finally establishing coordination primitives as stable as physical constants and as universal as power sockets. The endpoint of AI is 'a cross-platform collective dance.'

Takeaway for practitioners

> When designing your enterprise AI system, stop fantasizing about building a closed-loop empire. Plug in your 'interoperability plug-ins.' If your system cannot logically subcontract work to global competitors without human intervention, the moat you painstakingly built will become a cold, silent grave burying all your compute.