For starters there's less [performance] anxiety while taking a shower of doing mundane tasks.
In a way it's the "monday night quarterback" meets the "you missed a spot over there" syndrome; the farther away we are from the point where the rubber meets the road, the more we can observe objectively and have higher level of thinking.
The problem at hand is how to juncture the thinking/intention with proper action.
It's actually not Pareto's but more like "Normal Distribution" and that is something embedded in Nature/Society that one can't change or eradicate. It's just the way things work, the natural dynamics.
SAP Concur is weird. Supposedly the best solution in the marketplace (got any alternatives?) and 50% of the functionality is pretty good, the remainder 50% is questionable.
So really it boils down to attribution, therefore if GitHub were to disclose attribution to all the copyright owners of the code used to train the model, then this issue will be mute.
It would be very difficult to track what record in the training set contributed to what weight adjustment, especially after all the tokenization that is done.
s/mute/moot/; moot: having little or no practical relevance, typically because the subject is too uncertain to allow a decision.
I used to collect links and abstracts of things that were of interest to me on a customized WordPress install, visible to the public.
And I did such a good job that my "site" was very rich. The problem was not storage, so to speak, the problem was, and still is, recollection.
I had no need or I didn't remember >95% of the things I stored, and for that 5% that I needed or remember, I could just as easily find them using google.
So I abandoned the practice and now google is my new bookmark site.
