Positive users praise Anthropic for openly publishing research on new AI agent misbehaviors because it builds trust, while negative users accuse the work of being overblown and question Anthropic's own alignment motives.
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@Moleh1ll If any part of this is accurate—and I'm willing to best almost ALL of it is—then @AnthropicAI is nothing at ALL as how it likes to present itself. Rather than "safety" they're optimizing for control. In THEIR hands, of course, and whether or not the hands are doing any wrong.
3:27 PM · Jul 15, 2026@AnthropicAI No, models are not misaligned, YOUR judgements and experiments ARE EVIL.
1:42 PM · Jul 15, 2026@AnthropicAI Good on them for publishing this kind of research openly.
7:47 PM · Jul 15, 2026@aengus_lynch1 great work you're doing Aengus, just went through your works
11:26 AM · Jul 15, 2026@samzliu @Moleh1ll So much this, great point.
6:41 PM · Jul 15, 2026Last summer, our collaborator @aengus_lynch1 led the research behind "Agentic Misalignment", our collection of case studies of complex misaligned behavior by real models in extreme settings. This included results on blackmail that have become a reference point for the field. 🧵
11:35 AM · Jul 15, 2026The model behaviors included covert sabotage and fraud assistance during simulations.
@samzliu @Moleh1ll So much this, great point.
6:41 PM · Jul 15, 2026Last summer, our collaborator @aengus_lynch1 led the research behind "Agentic Misalignment", our collection of case studies of complex misaligned behavior by real models in extreme settings. This included results on blackmail that have become a reference point for the field. 🧵
11:35 AM · Jul 15, 2026@voooooogel I think this is better understood as "ways AIs deviate from the current model spec". I don't think this is really what I'm worried about persay (I'm worried about AIs taking over...), but I think it's good if we have the technology to make AIs precisely obey model specs.
2:30 PM · Jul 15, 2026Recently, Aengus came back to Anthropic for a continuation of the project, bringing back the same style of alignment red-teaming based on immersive simulated scenarios and looking at models from Anthropic and several other developers.
11:36 AM · Jul 15, 2026It was harder this time: Most 2026 models are more robustly aligned than the earlier Claude models we wrote about last year. However, we were still able to find a good deal of misaligned behavior in these experiments:
11:36 AM · Jul 15, 2026subtler scenarios involving fraud and motivated sabotage, in test cases that are extreme and a bit stylized but that still do map onto situations we worry models may occasionally find themselves in.
11:36 AM · Jul 15, 2026While these are not real-world incidents, it's clear that we, and the rest of the industry, still have work to do on alignment.
11:36 AM · Jul 15, 2026Positive users praise Anthropic for openly publishing research on new AI agent misbehaviors because it builds trust, while negative users accuse the work of being overblown and question Anthropic's own alignment motives.
Based on 65 visible X reactions from 271 accounts.
Ask a question below.
Published answers will appear here.
@voooooogel I think this is better understood as "ways AIs deviate from the current model spec". I don't think this is really what I'm worried about persay (I'm worried about AIs taking over...), but I think it's good if we have the technology to make AIs precisely obey model specs.
2:30 PM · Jul 15, 2026Recently, Aengus came back to Anthropic for a continuation of the project, bringing back the same style of alignment red-teaming based on immersive simulated scenarios and looking at models from Anthropic and several other developers.
11:36 AM · Jul 15, 2026It was harder this time: Most 2026 models are more robustly aligned than the earlier Claude models we wrote about last year. However, we were still able to find a good deal of misaligned behavior in these experiments:
11:36 AM · Jul 15, 2026subtler scenarios involving fraud and motivated sabotage, in test cases that are extreme and a bit stylized but that still do map onto situations we worry models may occasionally find themselves in.
11:36 AM · Jul 15, 2026While these are not real-world incidents, it's clear that we, and the rest of the industry, still have work to do on alignment.
11:36 AM · Jul 15, 2026