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伊朗和中國利用開源人工智慧進行大規模影響力活動

伊朗和中國正在利用開源人工智慧模型在社群媒體上進行大規模影響力活動,引起美國官員和安全研究人員的擔憂。

4 min readRead the original reporting
Source-provided image accompanying Iran and China Use Open-Source AI for Large-Scale Influence Campaigns
歸因報告來源記錄
出版商
cn.nytimes.com
來源連結
cn.nytimes.comhttp://cn.nytimes.com/technology/20260921/iran-china-autonomous-ai-influence-campaigns/zh-hant/
來源類型
新聞媒體的報道-不是第一方文件。

我們無法獨立確認的內容: 此聲明歸因於指定的商店。我們沒有根據第一方文件對其進行驗證。 (cn.nytimes.com)

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從這裡開始

測試一下自己什麼是人工智慧?測驗

發生了什麼事

Iran and China have been using open-source AI models to create autonomous agents that operate on social media platforms, spreading misinformation and influencing public opinion. These campaigns have raised concerns among US officials and security researchers, who fear that such tactics could be used to target American voters in the upcoming elections.

The article reports that Iran and China have been using open-source AI models, specifically Chinese models, to create autonomous agents that can operate on social media platforms.

These agents have been used to spread misinformation and influence public opinion on a large scale.

The campaigns have raised concerns among US officials and security researchers, who fear that such tactics could be used to target American voters in the upcoming elections.

The article also mentions that Israel has been involved in similar campaigns.

來源詳情: cn.nytimes.com ↗

為什麼這很重要

The use of AI in influence campaigns has significant implications for national security, as it can be used to spread misinformation and manipulate public opinion on a large scale. This could potentially impact the outcome of elections and undermine trust in democratic institutions.

The use of AI in influence campaigns has significant implications for national security, as it can be used to spread misinformation and manipulate public opinion on a large scale.

This could potentially impact the outcome of elections and undermine trust in democratic institutions.

The development of AI-powered influence campaigns could also lead to a cat-and-mouse game between those creating the campaigns and those trying to detect and counter them.

Interactive Mechanism

互動機制:它實際上是如何運作的

以互動方式探索這項發展背後的基礎技術。

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
互動式概念檢查+10 Points
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接下來看什麼

The use of AI in influence campaigns is likely to continue and evolve, potentially becoming more sophisticated and difficult to detect. It is essential to monitor these developments and develop effective countermeasures to mitigate their impact.

The use of AI in influence campaigns is likely to continue and evolve, potentially becoming more sophisticated and difficult to detect.

It is essential to monitor these developments and develop effective countermeasures to mitigate their impact.

This may involve developing new technologies to detect and counter AI-powered influence campaigns, as well as improving transparency and accountability in online discourse.

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