Maybe not such an accident? They have been brow-beaten, bullied, and otherwise treated worse than dogs.... I know I would be tempted to have an oopsie if I were treated the same.
Sorry mate, I got all caught up remembering usenet and gopher that I didn't read carefully enough. Add in references to Sun SPARC labs and loading slackware from I don't remember how many floppies and I will slip into full on nostalgia mode.
I guess what I was looking for were specific learning points from your implementation, since I am well into trying something similar with my wine cellar. You can find dissertations about vibe coding, but real, practical lessons requires a ton of digging.
Sorry mate, I got all caught up remembering usenet and gopher that I didn't read carefully enough. Add in references to Sun SPARC labs and loading slackware from I don't remember how many floppies and I will slip into full on nostalgia mode.
I guess what I was looking for were specific learning points from your implementation, since I am well into trying something similar with my wine cellar. You can find dissertations about vibe coding, but real, practical lessons requires a ton of digging.
Mike, don't argue, use the open source philosophy and show your work. Share your experience of how AI can be democratizing if used correctly. That journey would be a powerful lesson in how to make the tool work for you rather than the other way around.
To the others out there, AI is just another tool at your disposal. Used judiciously, it can enhance your capabilities, relieve you of tedious activities, and speed up your work. Keep your switching costs low and you can move on when your preferred tool goes the enshittification route. Used blindly and it can make you look like a fool, lead you down dead-ends, and lock you into an ecosystem that is difficult to impossible to entangle later on. I, for one, have no problem embracing a new tool so long as I don't get locked into using it.
I have been experimenting quite extensively with AI recently and auditability of the results is probably the most fundamental problem I see with current AI models.
Because of the way the dataset has been selected and curated, it is possible to train LLMs on fully open data, which leads to auditable models.
How does this data set contribute to auditability or is this auditability in another sense that what I am thinking?
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Evidence? Oh how quaint ;)
From a slightly different perspective
Maybe not such an accident? They have been brow-beaten, bullied, and otherwise treated worse than dogs.... I know I would be tempted to have an oopsie if I were treated the same.
Oh shit
That's my wife's pin written out in seashells....
Sorry mate, I got all caught up remembering usenet and gopher that I didn't read carefully enough. Add in references to Sun SPARC labs and loading slackware from I don't remember how many floppies and I will slip into full on nostalgia mode. I guess what I was looking for were specific learning points from your implementation, since I am well into trying something similar with my wine cellar. You can find dissertations about vibe coding, but real, practical lessons requires a ton of digging.
Sorry mate, I got all caught up remembering usenet and gopher that I didn't read carefully enough. Add in references to Sun SPARC labs and loading slackware from I don't remember how many floppies and I will slip into full on nostalgia mode. I guess what I was looking for were specific learning points from your implementation, since I am well into trying something similar with my wine cellar. You can find dissertations about vibe coding, but real, practical lessons requires a ton of digging.
Mike, don't argue, use the open source philosophy and show your work. Share your experience of how AI can be democratizing if used correctly. That journey would be a powerful lesson in how to make the tool work for you rather than the other way around. To the others out there, AI is just another tool at your disposal. Used judiciously, it can enhance your capabilities, relieve you of tedious activities, and speed up your work. Keep your switching costs low and you can move on when your preferred tool goes the enshittification route. Used blindly and it can make you look like a fool, lead you down dead-ends, and lock you into an ecosystem that is difficult to impossible to entangle later on. I, for one, have no problem embracing a new tool so long as I don't get locked into using it.
Auditable?
I have been experimenting quite extensively with AI recently and auditability of the results is probably the most fundamental problem I see with current AI models.
How does this data set contribute to auditability or is this auditability in another sense that what I am thinking?