this post was submitted on 01 Jul 2026
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as much as underwater datacenter, extremely high cost despite the ocean being able to cooldown datacenters fast. also these large LLM have never overcome one major flaw, There is no profit generation in the industry.
That's because we're in relatively early R&D and are trying to speedrun things in a way we generally don't with most tech. To compare to tech you understand and are familiar with, where we're at currently would be equivalent to like the internet in the late 80s/early 90s, except we've all seen how that went and everyone wants to be the Amazon, Microsoft or Google of the AI market when it moves from high R&D and little to no profit to becoming a mainstream part of everyday life.
That transition point will probably be when bipedal robots that can do most tasks as well as a human while running a local model get cheap enough to be sold as industrial equipment. It's why Asian labs (especially Chinese ones) keep showing off bipedal robots doing tasks that require either significant agility or fine motor skills involving predicting where body parts are (like doing needlepoint without being able to see it's hands or doing dance routines).