Follower of Christ, engineer

Joined April 2024
"never lying" is an extremely difficult ideal but a great one to aim for. the payoff is very long term but very VERY worth it put as much effort as you can into not decieving people. develop a strong disdain for being pressured to lie. put effort into orienting your life so that you arent pressured to lie in the first place. for problems that require lying, put in 10x more time/energy to solve them without lying most importantly never decieve/blind yourself why? the payoff is a much clearer and functional understanding of the world. the payoff is increasing your ability to solve the root of problems instead of putting a bandaid on them, and to notice when there is the opportunity to do this in the first place (why would a solution designed around avoiding reality ever be better in the long run?). the payoff is reducing blindness and confusion in yourself and the people around you. the payoff is that life becomes more meaningful when your efforts go towards something real instead of toil/bullshit. (there is more, but this is just what comes to mind rn, some of you probably know some i havent mentioned) expect to fail at this, because its extremely difficult. but also expect to grow a ton and have a much more meaningful life (imo)
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joint completions (merged logprobs)
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some more joint completions:
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you can just make non euclidean gaussian splat audio visualizers
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this is a static html/vanilla js page btw. will put it on my site at some point
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you can just make non euclidean gaussian splat audio visualizers
you can just deform gaussian splats
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Replying to @dnbt777
You can do the effect in inception, where the whole world gets rolled up.
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you can just deform gaussian splats
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you can just deform gaussian splats
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goldmine of a thread. worth reading every reply
I'm 56. I've been programming professionally for 37 years, started 44 years ago. AMA
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aaand now reverse CGOL diffusion
trained a tiny diffusion model on CGOL. red = error
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the clip is 100% valid backwards CGOL. its not just the model guessing what the backwards cgol would look like it actually generates the real prior positions (out of many possible). so that when i go forward with real CGOL rules, it just goes back to the original state
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trained a tiny diffusion model on CGOL. red = error
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complexity is a cost
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found the tiger and cat axes
Replying to @dnbt777
Neat idea, can you find the tensor for specific things like fur then move between fur types and or colours?
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basically just did pca and played around w the sliders. also doing [energy = pca on the pitch-energy from the audio] had way better results than just using pitch bins
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lil experiment injecting spectrogram data into stylegan3 latents fft(amplitude) -> log freq axis to get pitch energy -> rotate pitch energy vector over time -> w = w + energy(t)
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you can just inject spectrogram data into things
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