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Measure First, Then Allocate: Calibrated Rollout Budgets for MCP Agents in Reinforcement Learning

arXiv cs.LG ↗ · yesterday Cached

本文提出 Discord 与 BRACE 两种方法,利用奖励分歧来校准 MCP 环境中工具使用语言模型的强化学习 rollout 预算分配,并在 Qwen3-VL 多个规模及 BFCL、NESTFUL 基准上验证其优于基线。

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Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents

Hugging Face Blog ↗ · 2026-09-29 Cached

This paper introduces ProvenanceGuard, a source-aware verification method for MCP-based LLM agents to address cross-source conflation, where claims are factually correct but attributed to the wrong source.

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@humzaakhalid: this is f*cking dangerous someone just revealed how to run a 10-person company with zero employees using one Claude Pro…

X AI KOLs Timeline ↗ · 2026-07-09 Cached

A tweet thread explains how to run a 10-person company with zero employees using a single Claude Pro subscription by connecting 10 MCP agents to a Claude Project, enabling solo founders to automate execution and decision-making.

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Mycelis

Product Hunt ↗ · 2026-05-12

Mycelis is a serverless AI workspace that offers smart routing and MCP agents for managing AI workflows.

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