Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg
The current "AI" is a predictive engine.
And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)
It looks at something and analyzes what it thinks the result should be.
And that's not AI why?
AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.
It is absolutely crazy that we are all very very soon going to lose access to electricity
Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.
AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.
That "ruler study" was ancient. It's mentioned in peer review at least as early as 2018, and might be even older.
Believe it or not, people in the field are familiar with these sorts of things that you just read about.
Many people are unenthusiastic about their work.