The theoretical discussion is over. The practical reality of AI agents is not about if they will misbehave, but when—and what happens next. The question for leaders is no longer "Which model is best?" but "What is the most resilient, survivable AI agent harness design we can build?" The harness is your answer. It is the only thing that separates a useful tool from an organizational Reaver.
Welcome to Atomic Ego AI. I’ve been playing around with Generative AI since Dall-E 2 came out. I was using ChatGPT within days of release. Since then, I have been learning all that I can.
I have decades of IT experience at various levels organizations in addition to being a guy that geeks out about new technologies like VR, 3D Printing, and other things that catch my interest.
Professionally, I am a college lecturer. I teach IT Management classes. These classes include Intro to Excel, Business Intelligence, and more recently, AI Augmented Projects. I also teach an extended education course for those looking to learn more about Generative AI called Mastering Generative AI: Collaborating with the Future. I also have given presentations for area groups on AI and I'm always looking for ways to use Generative AI in Education, Business, and life in general.
The theoretical discussion is over. The practical reality of AI agents is not about if they will misbehave, but when—and what happens next. The question for leaders is no longer "Which model is best?" but "What is the most resilient, survivable AI agent harness design we can build?" The harness is your answer. It is the only thing that separates a useful tool from an organizational Reaver.
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The theoretical discussion is over. The practical reality of AI agents is not about if they will misbehave, but when—and what happens next. The question for leaders is no longer “Which model is best?” but “What is the most resilient, survivable AI agent harness design we can build?” The harness is your answer. It is the only thing that separates a useful tool from an organizational Reaver.
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