Let’s play a game of “Fortunately, Unfortunately“. Respond the previous post (the first comment below this post) by replying this post (not the previous post!)
I’ll start with: “I found this website.“
Suggest an ornament to be put in this Christmas tree
(note to self: https://wasteof.money/posts/617a61e540689031d5d3e456)
Bridge Diagram (2024 edition)
A more Harry Beck style map would arrive soon™
In my bucket list, there’s my dream for the communities I know (the TBGs, MF, and wasteof) to meet in one place or their place but connected with each other
I may be fast asleep on the event but I would like to see that happen
Me reacting my wasteof Wrapped, because yes
what
is this an achievement
well I know the two posts that qualify this
wait what
oh okay.
Posts ordered by their comments/loves ratio (updated, probably)
(oh wait I forgot that the scraper doesn’t scrape old posts again oops)
1 
@imgru training session again, hour 1
Yeah, I’ve decided to restart the training.
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Gilbert Tries to Decipher an Obfuscated JavaScript code
https://file.garden/ZP2W5NRM-w48DgLF/js-decipher.mp4
Sorry if the audio clips, I haven't put a limiter filter on FFmpeg which is recording this entire video :|
hey wasteof! I’ve got a challenge for you all, if
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is run, what will the console display? (try to figure it out without running it, jk please don’t put yourself through that sort of pain)
@imgru training process, 5 hours
The loss is still around 0.7, but I can’t train it for longer lest the weights will turn into NaNs.
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I think it’s better if the 512 units version was trained from scratch.
In a process of adding weights and biases to the network, it seems like the loss jumps from 0.6ish to 0.9 so that’s a thing
The output hasn’t turned into complete nonsense though (or, uh, at least a keymash):
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Whether or not the changes would amount to anything is an open question
(Oh, by the way, the loss function I’m using is the MSE of the cosine similarity of the output and the target with all 1s. Not the best for this purpose but at least the numbers are bigger than when using cross entropy)