@starletvania@yarn.girlonthemoon.xyz Yes this thing is on 😅

@movq@www.uninformativ.de Bahahahaha 🤣

@movq@www.uninformativ.de So no Mosaic support either? 🤣

I’m finding this very interesting… An evolved neural network that plays the game of tic-tac-toe and so far is a pretty decent player. Here is a visualization of it’s evolved “brain” that underwent GA (genetic algorithm) training with classification learning + self-play.

Image

@kat@yarn.girlonthemoon.xyz That would be cool! 😎

@bender@twtxt.net Well it’s really just for other fellow humans that might not know better and what Microsoft does with your hard™ work 🤣

No Github

Please don’t upload my code on Github!

I’m thinking about putting this up on all my projects and even on the front page of my Gitea instance 🤔

For context, this is a funny
Interaction between an engineer and copilot on Microsoft’s core programming Language 🤣🤯

https://github.com/dotnet/runtime/pull/115733

Fuck 🤣 Building and learning about machine learning and evolutionary processes is hard™ 🤣

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 😅

@kat@yarn.girlonthemoon.xyz Authelia is great 👌 Nice choice! 🙌

@bender@twtxt.net 😂

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

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:

• Go: 25 keywords (Stack Overflow); CSP-style concurrency (goroutines & channels)
  
• Python 2: 30 keywords (TutorialsPoint); GIL-bound threads & multiprocessing (Wikipedia)
  
• Python 3: 35 keywords (Initial Commit); GIL-bound threads, asyncio & multiprocessing (Wikipedia, DEV Community)
  
• Java: 50 keywords (Stack Overflow); threads + java.util.concurrent (Wikipedia)
  
• C++: 82 keywords (Stack Overflow); std::thread, atomics & futures (en.cppreference.com)
  
• JavaScript: 38 keywords (Stack Overflow); single-threaded event loop & async/await, Web Workers (Wikipedia)
  
• Ruby: 42 keywords (Stack Overflow); GIL-bound threads (MRI), fibers & processes (Wikipedia)
  

@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.

@bender@twtxt.net What’s not to like? 😅

@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™ 😂

This is one of my attempts:

Image

$ 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`

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. 😞

@sorenpeter@darch.dk Also not very readable. Quite cryptic really 😅 I have no idea how this works 🤦‍♂️

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? 🤣

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

@sorenpeter@darch.dk What will you be writing about? What’s your target audience? 🤔

@bender@twtxt.net Appreicate it 🙏

https://youtu.be/1GN3xBuAgrI?si=ezBYJeSOFgtBdjEu – Can someone please just fire Trump already? What a fucking idiot?! The man is a lunatic 🤦‍♂️

@thecanine@twtxt.net I admit I’m a little unclear of your position. What do you mean by “not the right approach”? What’s your position here? 🤔 – I have a funny feeling we actually algin, just getting our wires all mixed up in communicating it 🤣

Hey y’all 👋 I am told my “participation” is drastically down of ,ate So sorry 😞 Busy quite a busy few weeks at work with a reorg and lots of complex things happening in real live too 😅 – Hope everything is doing well 🤗

@bender@twtxt.net Haha well said 🤣

The only true way to write is full of typos, spelling mistakes and gramatical errors right? 😅

@bender@twtxt.net Bahaha 🤣

@thecanine@twtxt.net @movq@www.uninformativ.de 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.

@movq@www.uninformativ.de I’m more worried about Dustin Curtis’s take on Thoughts on Thinking piece 🤔 It’s a worrying time we’re facing, where all human creativity, critical thinking and having to “think” at all just goes out the window 🪟 wow 🤯

@kat@yarn.girlonthemoon.xyz I kind of need some more details if you can. Logs, observations anything! Please 🙏

@movq@www.uninformativ.de I mean are you surprised? 😮

@kat@yarn.girlonthemoon.xyz Watching your vlog right now 😅

@kat@yarn.girlonthemoon.xyz Hmmmm? 🤔

@kat@yarn.girlonthemoon.xyz I just got a bit bored 🥱

@kat@yarn.girlonthemoon.xyz Haha I did that for a couple of days last week 🤣 What was I doing you ask?! 😅 Studying and learning how Artificial Neural Networks with Evolutionary Adaptation work 🤣

@aelaraji@aelaraji.com Cool! 😎 Mind joining the same IRC space? 🙏