---
id: 20261024-T0-03
title: "AI Mindmeld提出模型间潜在互联协议，绕开文本传信息的瓶颈"
title_en: "AI Mindmeld Proposes Latent Interconnect Protocol to Bypass Text Bottleneck"
url: https://ai.daily.yangsir.net/daily/20261024-T0-03
issue_date: 2026-10-24
publish_date: 2026-10-23T04:00:00.000Z
category: research
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2610.30215
---

# AI Mindmeld提出模型间潜在互联协议，绕开文本传信息的瓶颈

arXiv新论文AI Mindmeld提出一种潜在互联协议。当前LLM可以作为科学Agent调用工具、咨询专家并运行实验，但专家信息必须以文本、图像、音频或视频形式进入模型上下文，这成了高维表征模型之间的瓶颈。该协议试图让模型之间直接传递潜在表征，而不是先把信息压缩成文本等格式。

## English Version

**AI Mindmeld Proposes Latent Interconnect Protocol to Bypass Text Bottleneck**

A new arXiv paper, AI Mindmeld: A Latent Interconnect Protocol, addresses a bottleneck in LLM-based scientific agents. Models can consult specialists and run experiments, but specialist information must enter context as text, images, audio, or video, constraining transfer between models with rich high-dimensional representations. The protocol proposes passing latent representations directly between models instead of compressing information into text-like formats first.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2610.30215)

**详情页**：https://ai.daily.yangsir.net/daily/20261024-T0-03

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