Remix clone Hacker News

52x less energy is crazy. Seems like it's in the veeery early stages, though, a quick search basically only yields the original paper and articles about it. This comment from the creator really shines light on the novel approach, though, which I find oddly antagonistic towards Big Tech:

"Where the Tsetlin machine currently excels is energy-constrained edge machine learning, where you can get up to 10000x less energy consumption and 1000x faster inference (https://www.mignon.ai). My goal is to create an alternative to BigTech’s black boxes: free, green, transparent, and logical (http://cair.uia.no)." (https://www.reddit.com/r/MachineLearning/comments/17xoj68/co...)

	▲	hztar 7 days ago \| parent [-]
		It's true that Tsetlin Machines are currently a fringe area of ML research, especially compared to the focus on deep learning advancements coming out of SF and China. It's early days, but the energy efficiency potential is insane. I believe further investment could yield significant results. Having been supervised by the creator, I'm admittedly biased, but the underlying foundation in Tsetlin's learning automata gives it a solid theoretical grounding. Dedicated funding is definitely needed to explore its full potential.