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Comment the inverse (Score 4, Interesting) 86

Something I've been toying with lately, LLMs can not only analyze the codebase, but also the git commit history and log messages. The developer intent IS there, it IS documented, but not in traditional documents that are easy for humans. These are instead in a form that is easy for LLMs to consume which then can summarize them back out into human readable documents. I've been using this for the exact reason described, I inherited several codebases after employee turnover with no chain of custody to bring forward that tribal knowledge directly.

Comment Re:Horses for courses (Score 1) 66

The lack of consistency. I know the while "customize everything" is praised as good, but that only goes so far. We're to the point where there is so much fragmentation, its almost a form of anti-standardization. Just look at package management for example. A single application, in different packages (dnf/apt vs flatpak) for instance, will have wildly different permissions models to the point that things break in, like camera or screen sharing in Discord or similar applications. Its a complete mess, but bringing up these shortcomings, the answer is always something along the lines "well of COURSE that's how it works, you should have KNOWN that already! - deamonizing the end user for the shortcomings of the infra itself.

Comment Re:Horses for courses (Score 5, Informative) 66

I'm not sure what you mean by "poorly" and "constant handholding"? Its full blown KDE on a very capable base operating system. Its at the point where Steam gaming is working, it has all the great server/developer tools needed for productivity, and pretty much any F/OSS app you can name on Linux is also on FreeBSD, but without most of the headaches of modern Linux.

Having more options for end-users is a good thing, not a bad thing.

Comment At Scale (Score 1) 23

at scale, EVERYTHING is an "eventual consistency" model, especially for global cloud providers. nothing is instant. it takes time to issue all the requests behind the scenes to all the targets and to get everything synced up properly.

should there be faster syncing for auth tokens? yeah, probably. but anyone who has done any admin work in any cloud environment probably knows that a ton of requests are no where near instant. you issue a command, and job workers async pull those requests and then act upon them. that's just how this shit works at scale.

Comment "AI" (Score 3, Insightful) 82

The biggest problem with "AI" is the marketing. There is no single "AI", there are a ton of various semi-related and entirely unrelated tooling that uses various bits of machine learning. From what this reads like, they have a more advanced fuzzy logic search engine in place, which is one of the absolute best use cases for AI/ML workloads. But at the end, its no different than any other search engine. It doesn't do the critical work for you, it simply searching vast repositories of knowledge and suggests possible outcomes. How many people instantly trust the top result on Google without even seeing the rest of them? This is the same thing.

Comment "The new word is 'edutainment'" (Score 3) 47

"The new word is 'edutainment'"

This is a new word? It dates back to at least the 1930s.

And in the 1990s, it was a mandate for television funding. This lead to the awesomeness of things like Bill Nye.

Seriously, you want to keep students attention? Just roll in the big fucking CRT from the closet with the VHS player on a shelf below it, throw on some Bill Nye or Myth Busters, and you'll get em all hooked instantly. This isn't hyperbole, this is tried and true. Anyone of a certain age will have endless fond stories of this experience.

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