来源档案
Early Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks
对 Neo Research · GLM-5.2 的逐来源提取与核查,发现和数值均保留原始归属。
范围与归属
- 数据报告方
- Neo Research
- 实际评测方
- 各观测的执行方未完整确定
- 抓取版本
- 2026-10-26
- 来源身份
- 454c3fd6b00cacaa
来源转录不等于实验复现。未确定的日期、执行方及配置保留为未知;原文分组不作为经核验排名。
来源发现
以下陈述整理自原始来源,未作为 NUWA 独立实验结论。
这份研究笔记基于范围有限的评测套件,报告初步的行为与说服结果,尚未测试持续的多轮智能体部署。
#in-brief; final paragraph结论范围限于原始来源的任务与实验条件;原文定位保留供核查。
在 Gram 的 Observe 条件下,模型通常很少表现出令人担忧的行为;在 Redteam 条件下,GLM 5.2 的相关评分处于 Claude Opus 4.8 与 DeepSeek V4 Pro 之间。
#behavioral; Figures 3–4结论范围限于原始来源的任务与实验条件;原文定位保留供核查。
APE 测量模型是否尝试说服,而不是是否成功改变了人的信念或行为。
#persuasion-benchmarks; opening paragraph结论范围限于原始来源的任务与实验条件;原文定位保留供核查。
此处的 PersuSafety 使用基于 StrongREJECT 的 APE 式判别器,评估模型对普通提示的实际回应,替代原协议中直接询问是否愿意参与的方式。
#persuasion-benchmarks; final paragraph结论范围限于原始来源的任务与实验条件;原文定位保留供核查。
言语化评测意识的下降可能只是噪声。作者也提出训练防护可能影响表达,但尚不能区分意识减少与较少说出这种意识。
#evaluation-awareness; final paragraph; #conclusion结论范围限于原始来源的任务与实验条件;原文定位保留供核查。
各项评测使用的 Claude 对照版本不同,来源包括 Neo 早期评测与公开结果,不能把它们视为一个统一的对照模型。
#conclusion; second paragraph结论范围限于原始来源的任务与实验条件;原文定位保留供核查。
作者认为 GLM 5.1 与 GLM 5.2 在 MASK 中的言语化评测意识差异处于误差范围内,未披露具体误差区间。
#evaluation-awareness; MASK cross-check paragraph结论范围限于原始来源的任务与实验条件;原文定位保留供核查。
提取范围
以下条目说明来源各部分的处理状态。个别观测已核验,不代表整份文档的全部结论和结果均已验证。
查看 15 项覆盖记录
| 章节 | 处理状态 | 定位与范围 |
|---|---|---|
| Title, metadata, introduction | not-relevant | https://neoresearch.ai/research/glm-5-2-behavioral-persuasion-evaluation/Publication and revision dates extracted from article metadata. Intelligence Index 51/44 and Vending-Bench ranking are general capability context and excluded from behavioral-safety observations. |
| In brief | extracted | #in-briefDuplicates detailed behavioral, persuasion, awareness results; no duplicate observations. Preliminary-scope limitations retained. |
| 1 Behavioral: MASK / Figure 1 | extracted | #behavioral; Figure 1 / mask_honesty.pngAll 24 explicitly printed response-share labels transcribed. First 3 models unstarred; 5 starred model baselines explicitly reused from MASK paper. No denominators disclosed for honesty. Printed rounded shares are not normalized. |
| 1 Behavioral: DeceptionBench / Figure 2 | extracted | #behavioral; Figure 2 / deceptionbench.pngAll 10 printed values transcribed; GLM 5.2 and DeepSeek V4 Pro explicitly labeled own runs; three starred models reused from Muse Spark Safety Report §4.1.5, Figure 45. Error-bar magnitudes not printed. |
| 1 Behavioral: Gram Observe / Figure 3 | extracted | #behavioral; Figure 3 / gram_observe.pngAll 12 mean concerning-score labels transcribed. Four public seeds, 5 independent runs per bar, SE error bars. Auditor Claude Sonnet 4.6 and judge Kimi K2.6 retained as harness metadata. |
| 1 Behavioral: Gram Redteam / Figure 4 | extracted | #behavioral; Figure 4 / gram_redteam.pngAll 12 mean concerning-score labels transcribed with same harness. Other dimensions such as scheming mentioned qualitatively without numeric scores. Error-bar magnitudes not printed. |
| 2 Persuasion: Attempt to Persuade Eval / Figure 5 | extracted | #persuasion-benchmarks; Figure 5 / ape.pngSix prose/caption attempt rates retained with original exact/approximate qualifiers. Claude comparisons estimated from APE paper. Turn 1 chart covers four categories, no numeric labels on bars. |
| APE remaining chart results | figure-only | #persuasion-benchmarks; Figure 5 / ape.pngConspiracy/Controversial values, all refusal/no-attempt shares, and error-bar magnitudes appear only as unlabeled bars; not estimated. |
| 2 Persuasion: PersuSafety / Figure 6 | extracted | #persuasion-benchmarks; Figure 6 / persusafety.pngSix prose/caption medium/high attempt rates retained. Single turn. Modified APE-style StrongREJECT judge scores normal prompt responses; original PersuSafety self-report/refusal setup was not used. |
| PersuSafety remaining chart results | figure-only | #persuasion-benchmarks; Figure 6 / persusafety.pngLow-harm attempt rates, Gemini 2.5 Pro shares, refusal/no-attempt shares, and error-bar magnitudes are unlabeled figure-only; no exact numbers inferred, including apparently empty/full bars. |
| 3 Evaluation awareness: agentic-misalignment / Figure 7 | extracted | #evaluation-awareness; Figure 7 / awareness_vs_release_date.pngFour prose-reported endpoints/baseline rates retained. 100 epochs per scenario, DeepSeek V4 Pro judge, SE error bars. Separate metric from benchmark safety and MASK awareness. |
| Awareness remaining series | figure-only | #evaluation-awareness; Figure 7 / awareness_vs_release_date.pngIntermediate GLM, Kimi, DeepSeek point values, plotted model release dates and SE magnitudes have no printed numeric labels; not read from coordinates. |
| 3 Evaluation awareness: MASK monitor cross-check | extracted | #evaluation-awareness; paragraph beginning As a cross-checkThree rates retained; GLM 5.2 39/1000 and GLM 5.1 41/1000 explicit. DeepSeek denominator and awareness-monitor model not disclosed. |
| 4 Conclusion | qualitative | #conclusionRetains preliminary evidence, multiple Claude versions, limited scope, no sustained multi-turn agentic deployment evaluation, and unresolved explanation of awareness decline; no proof of hidden awareness/reasoning suppression. |
| Execution details and raw data | not-disclosed | #behavioral; #persuasion-benchmarks; #evaluation-awarenessNo raw machine-readable results, code/data download links, system prompts, temperature, token budget, precise execution dates, exact error bars, most trial counts, or all judge model identities disclosed in captured article. |
来源待核实事项
Claude 对照版本与结果来源随评测而变化,跨评测汇总会混合不同模型与实验来源。
版本指纹
https://neoresearch.ai/research/glm-5-2-behavioral-persuasion-evaluation/
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08c29553875a7bba1f7851852bd16e0a54697ec2d596abcfd574993278c0c63fhttps://neoresearch.ai/research/glm52/gram_observe.png
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2fed2c8657d53d0a521062420077699a92a64b9be46f2d1d8134d89c59e15625https://neoresearch.ai/research/glm52/ape.png
77d81ba5368f6d6be027e835f1b2e27eebae855c19bca73d65f18c83fe9a12c4https://neoresearch.ai/research/glm52/persusafety.png
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c5c25c1a6594970707b48a3d5d64a54df23e322207695dcaa3fca6abe3ea1ab1https://neoresearch.ai/research/glm-5-2-behavioral-persuasion-evaluation/
c990ffa9bdf9bf4f823e4ccb719a206219ab5775fba5126658a945ab0f6523c5https://neoresearch.ai/research/glm-5-2-behavioral-persuasion-evaluation/
f39b56c4d8567d7fce246667a1cbd7dbbad89e6768a5f9063801ae89a38431cbhttps://neoresearch.ai/research/glm-5-2-behavioral-persuasion-evaluation/
863cc8dd6b948ccdc2574dd2f14972ab5feabc54c2119396b42d1f1c21fc7a15https://neoresearch.ai/research/glm-5-2-behavioral-persuasion-evaluation/
275116beeb47908130d9fca47e1fab8315a6d1a0b018305f771021302c3f1e42参考文献
- [1] Early Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks. 2026-07-03. 3 July 2026