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1. wg0+79[view] [source] 2023-12-27 14:54:28
>>ssgodd+(OP)
Google can look up into their index and can remove whatever they want to, within minutes. But how that can be possible for an LLM? That is, "decontaminate" the model from certain parts of the corups? I can only think of excluding the data set from the training and then retrain?

As a side note, I think LLM frenzy would be dead in few years, 10 years time frame at max. The rent seeking on these LLMs as of today would no more be a viable or as profitable business model as more inference circuitry gets out in the wild into laptops and phones, more models get released, tweaked by the community and such.

People thinking to downvote and dismiss this should see the history of commercial Unix and how that turned out to be today and how almost no workload (other than CAD, Graphics) runs on Windows or Unix including this very forum, I highly doubt is hosted on Windows or a commercial variant of Unix.

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2. 015a+vr[view] [source] 2023-12-27 16:37:37
>>wg0+79
Windows and MacOS (and their closed source derivatives) are probably at least as large as Linux, even including all the servers Linux is deployed on. Proprietary UNIX did not "die out"; Apple sells about a quarter million of them every year.

The majority of the world's computing systems runs on closed source software. Believing the opposite is bubble-thinking. Its not just Windows/MacOS. Most Android distros are not actually open source. Power control systems. Traffic control systems. Networking hardware. Even the underlying operating systems which power the VMs you run on AWS that are technically open source. The billions of little computers that form together to make the modern world work; they're mostly closed source.

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