prologic@JamessMacStudio
Sun May 25 21:44:41
~/tmp/neurog
 (main) 130
$ go build ./cmd/ttt/... && ./ttt
Generation  27 | Fitness: 0.486111 | Nodes: 44  | Conns: 82

… experimenting with building and training a tic-tac-toe game, which evolves a. neural net that learn to paly the game against the best evolved champions 😅

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In-reply-to » i wish it was realistic for me to learn golang but every single time i try to comprehend any go code i'm like What the fuck am i looking at. why is all of this so short and condensed GIVE ME VERBOSE CODE

@kat@yarn.girlonthemoon.xyz Ah, I see. I would assume that you’ll get used to it at some point. 🤔 But yeah, a lot of meaning is packed into these symbols. (It’s much, much worse with languages like Rust. 😅)

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In-reply-to » @bender Here's a short-list:

@prologic@twtxt.net I remember going through your “introduction to Golang”, I don’t remember the URL, but I vividly remember going through it, and I was lost at chapter one. So, about that “mastering” the core in hours, “I don’t believe you.” (insert I don’t believe you meme animated GIF here). LOL.

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In-reply-to » @kat I don’t like Golang much either, but I am not a programmer. This little site, Go by example might explain a thing or two.

Ultimately, Go sits in the sweet spot on the complexity vs performance chart:

  • Minimal syntax & concepts → low learning curve
  • Compiled speed → high throughput
  • Built-in CSP concurrency → scalable by default

See Rob Pyke’s presentation on Expressiveness of Go

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In-reply-to » @kat I don’t like Golang much either, but I am not a programmer. This little site, Go by example might explain a thing or two.

One of the nicest things about Go is the language itself, comparing Go to other popular languages in terms of the complexity to learn to be proficient in:

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In-reply-to » @kat I don’t like Golang much either, but I am not a programmer. This little site, Go by example might explain a thing or two.

@bender@twtxt.net Here’s a short-list:

  • Simple, minimal syntax—master the core in hours, not months.
  • CSP-style concurrency (goroutines & channels)—safe, scalable parallelism.
  • Blazing-fast compiler & single-binary deploys—zero runtime dependencies.
  • Rich stdlib & built-in tooling (gofmt, go test, modules).
  • No heavy frameworks or hidden magic—unlike Java/C++/Python overhead.

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In-reply-to » i wish it was realistic for me to learn golang but every single time i try to comprehend any go code i'm like What the fuck am i looking at. why is all of this so short and condensed GIVE ME VERBOSE CODE

@movq@www.uninformativ.de i feel like when i read go code i’m reading some algebra shit where every part is 1-5 letters long and then there’s weird symbols like := and it’s just infinitely harder for me to parse and infer meaning from lol. it’s such a me problem

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In-reply-to » I sent you my QR code, please respond! Media *for context: long ago, there were some complaints, about some of my sitting drawings, where the legs are apart, not using dithering/more shading and one of my favourite artists, made a video, exploring the use of QR codes, in art P.S.: the code just redirects to my websites

Agree with kat! It’s cute!

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In-reply-to » Over the past few weeks I've been experimenting with and doing some deep learning and researching into neutral networks and evolutionary adaptation of them. The thing is I haven't gotten very far. I've been able to build two different approaches so far with limited results. The frustrating part is that these things are so "random" it isn't even funny. Like I can't even get a basic ANN + GA to evolve a network that solves the XOR pattern every time with high levels of accuracy. 😞

@bender@twtxt.net There is no aim. Just learning 😅 That way I can actually speak and write with authority when it comes to these LLM(s) a bit more 🤣 Or maybe I just happen to become that random weirdo genius that invents Skynet™ 😂

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i wish it was realistic for me to learn golang but every single time i try to comprehend any go code i’m like What the fuck am i looking at. why is all of this so short and condensed GIVE ME VERBOSE CODE

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I sent you my QR code, please respond!

*for context: long ago, there were some complaints, about some of my sitting drawings, where the legs are apart, not using dithering/more shading and one of my favourite artists, made a video, exploring the use of QR codes, in art
P.S.: the code just redirects to my websites

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In-reply-to » Over the past few weeks I've been experimenting with and doing some deep learning and researching into neutral networks and evolutionary adaptation of them. The thing is I haven't gotten very far. I've been able to build two different approaches so far with limited results. The frustrating part is that these things are so "random" it isn't even funny. Like I can't even get a basic ANN + GA to evolve a network that solves the XOR pattern every time with high levels of accuracy. 😞

Jokes aside, what’s the aim for doing this? Other than learning something new, that is.

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In-reply-to » Over the past few weeks I've been experimenting with and doing some deep learning and researching into neutral networks and evolutionary adaptation of them. The thing is I haven't gotten very far. I've been able to build two different approaches so far with limited results. The frustrating part is that these things are so "random" it isn't even funny. Like I can't even get a basic ANN + GA to evolve a network that solves the XOR pattern every time with high levels of accuracy. 😞

@prologic@twtxt.net so, what did you have for dinner last night? How’s the weather Down Under a bit past 02:00? Do tell me. 🤭

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In-reply-to » Over the past few weeks I've been experimenting with and doing some deep learning and researching into neutral networks and evolutionary adaptation of them. The thing is I haven't gotten very far. I've been able to build two different approaches so far with limited results. The frustrating part is that these things are so "random" it isn't even funny. Like I can't even get a basic ANN + GA to evolve a network that solves the XOR pattern every time with high levels of accuracy. 😞

This is one of my attempts:

$ go build ./cmd/xor/... && ./xor
Generation  95 | Fitness: 0.999964 | Nodes: 9   | Conns: 19
Target reached!

Best network performance:
  [0 0] → got=0 exp=0 (raw=0.000) ✅
  [0 1] → got=1 exp=1 (raw=0.990) ✅
  [1 0] → got=1 exp=1 (raw=0.716) ✅
  [1 1] → got=0 exp=0 (raw=0.045) ✅
Overall accuracy: 100.0%
Wrote best.dot – render with `dot -Tpng best.dot -o best.png`

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Over the past few weeks I’ve been experimenting with and doing some deep learning and researching into neutral networks and evolutionary adaptation of them. The thing is I haven’t gotten very far. I’ve been able to build two different approaches so far with limited results. The frustrating part is that these things are so “random” it isn’t even funny. Like I can’t even get a basic ANN + GA to evolve a network that solves the XOR pattern every time with high levels of accuracy. 😞

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In-reply-to » I'm sending out my first newsletter later today. Sign up at https://darch.dk/newsletter if you want it fresh of the press 💌

My vision with this newsletter is to have a slower medium for communicating about my art as well as ideas and projects I’m working on regarding how we can use digital technology to our own benefits instead of being exploited by big tech.

Twtxt not sloe enough for you? 🤣

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In-reply-to » @thecanine @movq So I actually agree with you! I think Dustin is taking a bit of a "deep and dark" path here (depression), and there are many parallels to other types of activities that we can all talk to. "AI" or "LLM"(s) here should be no different. Use them, Don't use them. I don't really see how it takes away our creativity or critical thinking.

@thecanine@twtxt.net I think I know what you mean now.

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