Hi 🙂 maybe you find something of value in my hypderdimensional computing with clojure stuff: https://faster-than-light-memes.xyz/high-dimensional-computing-with-sparse-vectors.html
Hi @benjamin.schwerdtner! Thanks for this post. I hope to read carefully and learn, one day. Can I add it to the https://scicloj.github.io/docs/resources/reading/ page? Also, maybe you'd like to post it at #news-and-articles.
Yes!
thanks 🙂
thanks for sharing this 👍
oh wow! Going to have to put down my phone for this one.
"what is the dollar in mexico" I think "dollar" would also be an acceptable answer here depending on on why your asking.
I often feel like translations done without considering the motivation are decent into madness.
I think "peso" would be the answer to a question close to: "what is the common name for medium of exchange that's backed by the government of Mexico"
> It is typically a very wide vector (N = 10.000 bits) is 10.000 different then 10?
I would say 10,000 is different then 10.
10.000 might be telling me something about significant digits, i'm not sure.
What is this picture (below) supposed to convey? Are we comparing "nets" to "symbolic AI"? Why are some things colored. Why circles vs squares?
Thats enough of my rambling questions for now. I'll try to pick through this later, thanks for writing and sharing it Ben.
@benjamin.schwerdtner why is it written as 10.000 instead of 10?
what does the period mean here?
chatgpt thinks my period is a typo and answered the question as if it's a comma.
is 10 thousand. I guess I mistook , . it's inverted in German
i didn't know that. Wait in German it's inverted?
https://language-boutique.com/lost-in-translation-full-reader/writing-numbers-points-or-commas.html Why?! laughcry
Oh, ok. it's not as strange as i thought. It is just that the names/symbols are inverted. The rules are the same.
yea
the picture is more artistic than conveying actual content. It is circles, because neuronal nets are often depicted with the neurons as circles and lines between them. Squares to make it look different and the 'tree' stands for datastructures, like trees. The idea is that currently each approach is strong in either ambiguity (relationships of many data points) or structure, but not both
thanks for engaging with my ramblings 😛 Ah thanks, yea there is something about such toy examples. They might be wrong in the real world. I added a paragraph mentioning your proviso! I updated text to mention that N is the length of the vector. It is a 10.000-bit vector, if binary. Maybe saying 'bits' was confusing.