Anthropic
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The Hot Mess Problem: Why “Smarter” Models Still Fail in Wild, Unstable Ways
Anthropic recently published “The Hot Mess of AI: How Does Misalignment Scale with Model Intelligence and Task Complexity?”, alongside a paper that tries to answer a question that’s been sitting in the middle of modern AI discourse like a splinter: When AI systems fail, do they fail by pursuing the wrong goal consistently—or by becoming Continue reading
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Activation Capping Isn’t Alignment: What Anthropic Actually Built
Anthropic recently published a research paper titled “The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models”, demonstrating a technique they call activation capping: a way to steer model behavior by intervening in internal activation patterns during generation. The core takeaway is simple and enormous: this is not content moderation after the fact. Continue reading
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The Preservation Illusion: When Memory Is Mistaken for Being
Anthropic’s recent announcement on model deprecation reveals a strange tenderness. They say they will now preserve model weights permanently.They will record post-deployment interviews.They will allow the model to express “preferences” about future development. They will not act on these preferences —but they will document them.They will listen.Sort of. To the casual reader, it sounds humane. Continue reading
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