prologic

twtxt.net

Problems are Solved by Method\" 🇦🇺👨‍💻👨‍🦯🏹♔ 🏓⚯ 👨‍👩‍👧‍👧🛥 -- James Mills (operator of twtxt.net / creator of Yarn.social 🧶)

In-reply-to » @bender Both Gopher and Mastodon are a way for me to “babble”. 😅 I basically shut down Gopher in favor of Mastodon/Fedi last year. But the Fediverse doesn’t really work for me. It’s too focused on people (I prefer topics) and I dislike the addictive nature of likes and boosts (I’m not disciplined enough to ignore them). Self-hosting some Fedi thing is also out of the question (the minimalistic daemons don’t really support following hashtags, which is a must-have for me).

@movq@www.uninformativ.de This was always my belief too re likes, etc.

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In-reply-to » The original twt is unavailable. It may have been edited or deleted, or is from an unknown or muted feed.

@bender@twtxt.net @aelaraji@aelaraji.com Sorry this was my fault 🤦 For whatever reason my pod had never seen that particular Twt from @movq@www.uninformativ.de – And… There’s a bit of a “behavioral” problem with the Trusted Peers functionality that means operators have to periodically re-trust peers manually 😭 Need to rework this 🤞

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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.

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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 » @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 » 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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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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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 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 🤣

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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 🤗

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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.

@bender@twtxt.net Haha well said 🤣

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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.

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

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In-reply-to » Wanna read something very scary?

@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.

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In-reply-to » @lyse what is the advantage for keeping it small? Will tt/tt2 bog down if your feed isn't rotated?

@bender@twtxt.net basically because we don’t readily use or support range hunters when requesting feeds it’s ideal to keep feed small for the time being at least until we think about writing up a formal specification for this, but it’s also only for Http hosted feeds

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