Sharing a bit of backstory on why I decided to work on this; Firstly, “for fun” but primarily because I felt like I started losing the childlike wonder/whimsy I once had with programming.
So I started this new hobby where I ask myself “can I hack on this?” upon getting/seeing something.
For instance, I got this new Aula F75 keyboard (really good keyboard for the price btw, it sounds good too!) and it only has dedicated control software for Windows. So I downloaded the driver files, software executable, and manual sheet and reverse engineered the full protocol/packets and rebuilt it for my Mac. Then played snake with the backlights. Fun.
Anywho, happy to see my blog on the front page. Would love to hear if anyones going through something similar or working on silly little projects! :)
This makes the world a better place. I got a little oxytocin hit just from the thought that somewhere on this world, someone is working on this problem. Now I'll be kinder to old ladies and give those poor puppies a pass.
When I saw the title, I thought of Lambda Calculus[0] and SKI combinators[1]. Given that there are "only six useful colors", I wonder if M&Ms could be used to implement them.
Funny you mention that, because yes, a combinator-style encoding is probably a cleaner fit for the “only six colors constraint than my stack machine. I hacked together a tiny SKI-flavored M&M reducer as a proof of concept: B=S, G=K, R=I, Y=(, O=), and N... is a free atom, so `B G G NNN` reduces to `a2`.
Fun project! I had a similar project a while back, but my medium of choice was the Uno card game. I called it UnoScript [1] and it had similar mechanisms as color was an important factor. I also ended with a stack as the main part of the language, where different colors/combinations of cards could read from/modify the stack. Interesting how similar constraints can lead to some similar design choices!
it actually sounds like a fun idea, but i have one question. do you think a lightweight CNN trained on synthetic candy layouts would outperform the deterministic decoder for messy real world photos?
Yes, for messy real-world photos a lightweight CNN would probably outperform the deterministic decoder, but I’d still use it in a hybrid pipeline with classic CV for blob detection and deterministic logic for reconstructing the actual program.
How I understand the article, is that they understand why others act in certain ways, they know the mechanism of empathy, but nothing here confirms that they are empathetic themselves. I think this article's conclusion is misleading.
Sharing a bit of backstory on why I decided to work on this; Firstly, “for fun” but primarily because I felt like I started losing the childlike wonder/whimsy I once had with programming.
So I started this new hobby where I ask myself “can I hack on this?” upon getting/seeing something.
For instance, I got this new Aula F75 keyboard (really good keyboard for the price btw, it sounds good too!) and it only has dedicated control software for Windows. So I downloaded the driver files, software executable, and manual sheet and reverse engineered the full protocol/packets and rebuilt it for my Mac. Then played snake with the backlights. Fun.
Anywho, happy to see my blog on the front page. Would love to hear if anyones going through something similar or working on silly little projects! :)
When I saw the title, I thought of Lambda Calculus[0] and SKI combinators[1]. Given that there are "only six useful colors", I wonder if M&Ms could be used to implement them.
0 - https://en.wikipedia.org/wiki/Lambda_calculus
1 - https://en.wikipedia.org/wiki/SKI_combinator_calculus
Gist: https://gist.github.com/mufeedvh/db930a423fdce8c1d8e495c7a3f...
[1](https://github.com/berlinquin/UnoScript)
With:
I really don't get the AI vibes from the actual writing of it
https://www.psychologytoday.com/us/blog/fulfillment-at-any-a...
But maybe it is like so often more about the contradictory definitions of “empathy”, and capability vs. willingness.