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Essay


What Keeps Me Up At Night: Introducing Reality to Common AI Concerns
Since the "godfather of AI," Geoffrey Hinton, likened AI's growing potential to surpass human intelligence within five to ten years to raising a tiger cub that could one day kill you, I've seen an uptick in people asking if AI will take over the world. While his concerns merit serious long-term consideration for AI professionals and researchers, they also spark unnecessary fears amongst the general population that has limited insight into how generative AI works from a techni
Edan Harr
5 min read


AI Meets BEE-I: How the Bees Algorithm Could Optimize Computational AI Problem Solving
If you are a prospective AI researcher who is interested in making a novel discovery, you may want to look away from the traditional boundaries of computer science and towards cross-disciplinary exploration. If we look at a familiar challenge through an unfamiliar lens, the Bees Algorithm is one potential optimization approach that could change the way we structure artificial intelligence systems.
Edan Harr
7 min read


Through A Nightmare, Darkly: The Limits of the Human Perception of AI
"For now we see through a glass, darkly; but then face to face: now I know in part; but then shall I know even as also I am known." The biblical passage references the classic human limitation of a minimal perception of ultimate reality, almost as if we were looking at the world through a clouded glass. Our current user understanding of AI systems is precisely this.
Edan Harr
6 min read
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