Another potential factor at play is the accuracy of delivery. It is generally easier to accurately deliver one quick dose vs daily doses over multiple weeks (due to patient positioning errors, the patient losing weight, soft tissues moving around etc).
I have a Sebo. The primary thing I dislike is the weight. You'd think something this heavy would have some kind of performance advantage, but it doesn't. I've seen battery powered shit from Walmart suck harder than this machine does.
I was just reading Norbert Wiener's "The Human Use of Human Beings" (1950) and this quote gave me a good chuckle:
"One may get a remarkable semblance of a language like English by taking a sequence of words, or pairs of words, or triads of words, according to the statistical frequency with which they occur in the language, and the gibberish thus obtained will have a remarkably persuasive similarity to good English."
> ChatIOCCC is the world’s smallest LLM (large language model) inference engine - a “generative AI chatbot” in plain-speak. ChatIOCCC runs a modern open-source model (Meta’s LLaMA 2 with 7 billion parameters) and has a good knowledge of the world, can understand and speak multiple languages, write code, and many other things. Aside from the model weights, it has no external dependencies and will run on any 64-bit platform with enough RAM.
(Model weights need to be downloaded using an enclosed shell script.)
Interestingly the UK Supreme Court ruled on this in the Emotional Perception AI case - though I'd need to check if that was obiter (not part of the legal ruling itself).
This sounded surprising and so I picked the first fuse I could find on RS and looked at its datasheet [1].
The characteristic curve shows that the 10A fuse is expected to blow after about 4s at 20A. Of course there's sample-to-sample variation and different ambient conditions etc, but how do those four seconds become "an hour to blow or not blow at all"?
reply