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Joined 1 year ago
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Cake day: July 3rd, 2023

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  • I don’t like the idea of restricting the model’s corpus further. Rather, I think it would be good if it used a bigger corpus, but added the date of origin for each element as further context.

    Separately, I think it could be good to train another LLM to recognize biases in various content, and then use that to add further context for the main LLM when it ingests that content. I’m not sure how to avoid bias in that second LLM, though. Maybe complete lack of bias is an unattainable ideal that you can only approach without ever reaching it.











  • But the bribe amounts have very little to do with how unfathomably rich the “donors” are! If you look at all those bribes, the amounts are still within the realm of what the 99% could put together.

    But I don’t even think it would cost the 99% that much, because it would force the 1% to up their game (in other words, there’d be bribe inflation) until the 99% can’t follow suit, which means the 99% wouldn’t even need to pay, in the end. But the higher price would make some bribers think twice, which might lead to less bribery happening.


  • How much of the music at that EDM festival you went to will you listen to again? Will you buy any of their records? Or maybe just add a few of their tracks to a playlist on Spotify such that you may hear that music a couple more times in the future?

    I may be making assumptions about you, but I think Rick’s point about new music becoming “disposable” because there’s just so much of it coming out remains valid. There’s still new songs coming out that transcend this, but the musicians making this music are finding it harder and harder to build up a following, get exposure, and convince record labels to invest in them, when these labels can invest way less, produce a shitton of disposable music and get a better (short-term) ROI.