Two articles caught my attention this week because they illustrate a broader concern I have with the direction of the AI discussion. In one, Zach Landes tests whether decision models would sacrifice their own infrastructure to save human lives; in the other, Anthropic introduces a policy restricting sustained abusive behavior toward its models. Both raise questions about how readily we apply human behavioral concepts to AI systems.<\/p>\n
There is little doubt that AI represents a technological shift comparable in significance to the internet, changing how we build software, process information, and automate decisions. however …. a model selecting its own server over human lives in a hypothetical experiment does not establish a survival instinct, just as a model producing empathetic language does not establish empathy. These outputs need to be understood in the context of training, optimization, input sensitivity, and system design. When evaluating a model, we should investigate the consistency of its outputs, its sensitivity to prompt variations, its failure modes, and the effectiveness of the controls surrounding it. Human behavioral analogies can be useful for communicating observed patterns, but they become problematic when we start treating those analogies as explanations of how the system works.<\/p>\n
I agree that AI safety, ethics, governance, etc should be discussed, my argument is that it will be more productive if we maintain a clear separation to the human characteristics we are increasingly tempted to attribute to it.<\/p>\n
https:\/\/zachlandes.com\/trolley-problem\/<\/p>\n
https:\/\/www.anthropic.com\/news\/2026-usage-policy-update<\/p>\n","protected":false},"excerpt":{"rendered":"
Two articles caught my attention this week because they illustrate a broader concern I have with the direction of the AI discussion. In one, Zach Landes tests whether decision models would sacrifice their own infrastructure to save human lives; in … Continue reading