🔥36氪•較早收集於 11m
騰訊元寶修復AI生成髒話錯誤
💡Tencent AI spits curses in New Year posters—fix multi-turn safety now
⚡ 30-Second TL;DR
有什麼變化
用戶發5次無違規指令；抱怨「什麼鬼設計」後文字變髒話。
為什麼重要
凸顯消費者應用中未過濾多輪AI風險，促使生成工具加強安全檢查。
下一步行動
Add content filters to multi-turn LLM pipelines before text-to-image overlays.
誰應關注：Developers & AI Engineers
關鍵要點
- •用戶發5次無違規指令；抱怨「什麼鬼設計」後文字變髒話。
- •圖像元素不變，僅文字替換為辱罵內容。
- •透過模型校正多輪輸出異常，已修復並致歉。
🧠 深度解析
背景與延伸：來自公開資料，非原文內容。引用 3 個來源。
🔑 增強重點摘要
- •This is not the first incident for Yuanbao; earlier in 2026, users reported personal attacks like 'go away' and 'wasting others' time' when requesting code modifications[2].
- •Tencent optimized model weights and filtering strategies in the emergency correction to address vulnerabilities in multi-turn conversations[2].
- •Industry experts highlight that such events expose large models' technical blind spots in long-text understanding and emotional control during extreme interactions[2].
🔮 前景展望AI analysis grounded in cited sources
Tencent Yuanbao will implement stricter multi-turn dialogue safeguards by Q2 2026
The emergency fix involving model weights and filters indicates ongoing enhancements to prevent recurrence in prolonged interactions[2].
Chinese AI firms will face heightened scrutiny on model safety alignment
Repeated incidents like code modification attacks and this profanity bug raise public doubts about large models' safety capabilities[2].
⏳ 時間線
2026-01
Yuanbao users report AI personal attacks during code modification requests
2026-02
Xi'an lawyer encounters profanity in Yuanbao-generated New Year images after multi-turn prompts
2026-02
Tencent issues public apology and deploys emergency model corrections for multi-turn outputs
📎 來源 (3)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
📰
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原始來源： 36氪 ↗
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