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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.





  • 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.







  • On my Pixel 1, I wasn’t careful about the battery, regularly draining it fully and then charging it to 100% (and leaving it on the charger for extended periods) and after 18 months, I was already looking into getting the battery replaced due to greatly reduced capacity.

    At a friend’s suggestion, I installed Accubattery which alerts me whenever the battery is about to go outside the 20-80% window. I almost always unplug from the charger when I get to 80%. That second battery on the Pixel 1 kept most of its capacity for 4 years. Now my mom has that phone, with the same battery, and even though the capacity went down a bit since, it’s more than enough for her needs still.


  • You’re trying to apply objectivity to a very subjective area. I’m not saying it’s impossible, and you should by all means try it, but maybe it would be a good idea to try something that has a better chance, first, such as this:

    How about an open platform for scientific review and tracking? Like, whenever a new discovery or advance is announced, that site would cut through the hype, report on peer review, feasibility, flaws in methodology, the ways in which it’s practical and impractical, how close we are to actual usage (state of clinical trials, demonstrated practical applications, etc.)

    And it would keep being updated, somewhat like Wikipedia, as more research occurs. It needs a more robust system of review to avoid the problems that Wikipedia has, and I don’t have the solution for that, but I believe there’s got to be a way to do it that’s resistant to manipulation.


  • The grapes used to make the juice you buy at the store are not the same grapes that are used to make actual wine. The person who wrote that recipe doesn’t know what wine should taste like, and I wouldn’t trust that recipe.

    The grape juice you buy for drinking is mainly made from Concord grapes, which won’t make something that tastes in any way like real wine. You need grapes like Cabernet or Pinot Noir (for example). These aren’t just the names of wines, they’re the names of the varieties of grapes used.




  • Some good examples here. I’d just mention a few other memorable dialogue scenes:

    • all the scenes of McCoy with Spock’s Katra in ST:III, including lines like “Yes, Genesis! How can you be deaf with ears like that?” and “Where’s the logic in offering me a ride home, you idiot? If I wanted a ride home, would I be trying to charter a space flight?”
    • in Star Trek IV, the scene with Kirk and Spock in Gillian’s pickup, with Nimoy doing his best Gracie Allen impression. Also, the “No dipshit” bit in the restaurant.