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vimgrinder

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投稿

Show HN: Genetic Boids Web Simulation

attentionmech.github.io
158 ポイント·投稿者 vimgrinder·昨年·36 コメント

MAV – Model Activity Visualiser

github.com
3 ポイント·投稿者 vimgrinder·昨年·0 コメント

WebGL LLM visualiser experiment

loshdex.vercel.app
1 ポイント·投稿者 vimgrinder·昨年·0 コメント

Visualize trunk of popular LLMs using matplotlib

github.com
2 ポイント·投稿者 vimgrinder·昨年·0 コメント

MAV – LLM activations visualizer on terminal

pypi.org
2 ポイント·投稿者 vimgrinder·昨年·1 コメント

Model Activation Visualiser

github.com
2 ポイント·投稿者 vimgrinder·昨年·0 コメント

コメント

vimgrinder
·昨年·議論
yes had the same idea but applied that by doing randomization in age: floor(random(0, this.lifespan))

for me its not vanishing suddenly, so not sure how to reproduce now
vimgrinder
·昨年·議論
dies in the sense machine gets hung or all boids vanish?

EDIT: also pushed some fixes in params (allow offsprings at larger distance, etc), but basically if the boids don't end up closer, they won't reproduce and the population dies so play with that and lmk
vimgrinder
·昨年·議論
thanks!
vimgrinder
·昨年·議論
oh nice, webGPU thing should learn sometime!
vimgrinder
·昨年·議論
oh, so i wasn't really aware that there was a original boid sim (I will check it today). mostly I saw it on some other demos and I wanted to add this behaviour of signaling boids which are far away + color code based on genome + do a simple cross-mutate. and yes you are right about fitness func.

Beyond this i was trying to add a map which effects their movement. (if you wanna check how it looks - https://x.com/attentionmech/status/1925690991555531143)
vimgrinder
·昨年·議論
hey thanks! color is coming from genome (check brightColorFromGenome)! nice suggestions, will definitely try to incorporate some of them.
vimgrinder
·昨年·議論
yes this only.
vimgrinder
·昨年·議論
fixed it. lowered the values and clipped.
vimgrinder
·昨年·議論
so, i just used them like conceptually..

each boid has a string, when boids come close , they produce a offspring with mixed string + mutation age lets boids die too

nothing fancy, just for sake of sim
vimgrinder
·昨年·議論
working on this lately, would love any feature request/ feedback
vimgrinder
·昨年·議論
why we care about biological pain so much is because we know - we ourselves feel it. everyone has felt how miserable it makes them. For AI, one way to see these experiments is at some point it will help us know or atleast have the right tools at the right time -> to discover if such empathy needs to be extended to AI systems.

So my suggestion to OP is what you are doing today will help us give these systems the right treatment someday when they will qualify for it.
vimgrinder
·昨年·議論
they were constantly referred too in the text :/ impossible to skip
vimgrinder
·昨年·議論
For someone it might help: If you are having trouble reading long articles, try text-to-audio with line highlight. It helps a lot. It has cured my lack of attention.
vimgrinder
·昨年·議論
with all the AI stuff going around, can't github just scan repos for such malicious code?
vimgrinder
·昨年·議論
very excited for this. my current fav model on my mac mini for text processing is gemma 9b + gemma 2b combo spec decoding. great times to have all this getting drop left and right.
vimgrinder
·昨年·議論
The first lecture is so good. Not only from perspective of content, but how Zhao explain things about how to think about learning as a student. ty for recommendation.
vimgrinder
·昨年·議論
I definitely avoided ML for years just due to math. But having a chatbot who can explain math with examples in any style you want defintely changed my opinion about math and ML in general. A big barrier to math is how it's written imo and not explained in a fun way with lot of examples. I certainly don't have a mathy brain, but I do get things when explained with examples (and certainly find it hard to come up with my own examples while fighting with the symbols).
vimgrinder
·昨年·議論
So much respect for this guy. He is like Neo of the matrix, bridging the gap between humans and machines. I have so far learned the following for free from his repos/videos:

1. minGPT, nanoGPT (transformers)

2. NLP (make more series)

3. tokenizers (his youtube)

4. RNN (from his blog)

There are many domains which don't have a karpathy and we don't hear about them. So glad we have this guy to spread his intuitions on ML.
vimgrinder
·2 年前·議論
"Before enlightenment, chop wood, carry water. After enlightenment, chop wood, carry water"

You do what you were enjoying before, just now you don't need to get paid in money for it. May be you will get paid in fame, noble prize, smiles of people whose life you impact etc. The money you have can't buy those directly but only when you put effort.
vimgrinder
·2 年前·議論
I like the idea of "concept" .. you can represent a concept with language, visual etc. but it isn't any of those. Those are symbols used to communicate a concept or give representation to it but concepts are just connections between other concepts at the core. The closest things i feel to this is categories in category theory.