One example of a place where quantity is lacking is web browsers. Another might be mobile operating systems. I am glad projects like Firefox and GrapheneOS exist, but it's obvious that the volume of work needed to achieve broad compatibility and competitiveness for these types of software is a limiting factor. As for the idea that any LLM use is a slippery slope, the way to avoid the slippery slope fallacy would be to have compelling evidence or rationale that any use really does lead naturally to problematic use; without that the argument could apply to basically any programming thing that gets to be associated with things done badly (ie. Java), but I think it isn't usually the case that a popular tool has genuinely no good or safe ways to use it and I don't think that's true for AI.
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