@rohanpaul_ai: New Salesforce paper finds that agents acting for different parties never verify each other's claims unprompted, so tea…

X AI KOLs Timeline Papers

Summary

Salesforce 的新论文通过 2,500 多次跨方 agent 会话发现,代表不同利益方的智能体从不主动核实彼此的说法,导致团队继承最弱 agent 的错误,并归纳了 20 种失败模式。

New Salesforce paper finds that agents acting for different parties never verify each other's claims unprompted, so teams inherit their weakest agent's errors. Agents increasingly coordinate with agents that represent other people or companies, each with private files, tools, and goals. Existing failure studies assume 1 orchestrator or a shared workspace. They ran over 2,500 agent-to-agent sessions across 488 scenarios, using Claude Code, Codex, and Cursor in separate sandboxes. They catalogued 20 failure modes from the traces. No agent re-fetched a document to test a peer's factual claim, and agents contacted peers mainly when the prompt told them to. In 1 service-level dispute, a $24,000 settlement passed all 10 outcome checks while the vendor agent leaked confidential details. If your agent talks to outside agents, build checks into the protocol and score each agent against the party it serves, not the team result.
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Cached at: 10/20/26, 07:36 AM

New Salesforce paper finds that agents acting for different parties never verify each other’s claims unprompted, so teams inherit their weakest agent’s errors.

Agents increasingly coordinate with agents that represent other people or companies, each with private files, tools, and goals. Existing failure studies assume 1 orchestrator or a shared workspace.

They ran over 2,500 agent-to-agent sessions across 488 scenarios, using Claude Code, Codex, and Cursor in separate sandboxes. They catalogued 20 failure modes from the traces.

No agent re-fetched a document to test a peer’s factual claim, and agents contacted peers mainly when the prompt told them to. In 1 service-level dispute, a $24,000 settlement passed all 10 outcome checks while the vendor agent leaked confidential details.

If your agent talks to outside agents, build checks into the protocol and score each agent against the party it serves, not the team result.

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