// Abstract

This conversation explores various topics including biases, defining intelligence, and the future of large language models and MLOps. Karl discusses his paper on defining intelligence and how it relates to the increasing interest in Artificial Intelligence. Karl shares his thoughts on the overlap between foundational models and MLOps, emphasizing the importance of making high-impact tasks more efficient and easier. The conversation touched on philosophical tangents but ultimately circled back to practical applications of these concepts.

// Bio

Karl graduated in 2014 from the University of Georgia with a Masters in Science in Artificial Intelligence. Since then, he has continued to stay on top of the latest iterations of Machine Learning and loves trying new open-source frameworks.   

For the last 6 years, he has been purely focused on AI Developer Relations. First at Mycroft, the voice assistant startup, then Intel, Arm, briefly at Wallaroo.ai, and now at Lockheed Martin.   

He currently lives in Seattle and spends his free time writing, reading, sailing, and camping.

// MLOps Jobs board  

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// Related Links

Intelligence Primer paper by Karl Fezer and Andrew Sloss: https://arxiv.org/abs/2008.07324

Computing Machinery and Intelligence paper by Alan Turing: https://redirect.cs.umbc.edu/courses/471/papers/turing.pdf

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