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babycommando

59 karma · joined January 1, 2025

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babycommando··on The Amiga games and demo scene collection
LONG LIVE THE DEMOSCENE
babycommando··on Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model
Someone please port this to ONNX so we don't need to do all this ass tooling
babycommando··on Torify for Windows Terminal
One thing I was missing a lot from linux on windows was a braindead simple implementation of torsocks so I ended up making one. Hope you find it useful.
babycommando··on ZUSE: IRC terminal client
of course you can, thats a thing you enable or disable
babycommando··on ZUSE: IRC terminal client
thats not true here, you can indeed do it on zuse.
babycommando··on ZUSE: IRC terminal client
XD I'm currently working on a settings area, thanks for the feedback =D
babycommando··on ZUSE: IRC terminal client
lmao
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
I think you misunderstood that the goal is to make an irc client that uses bubbletea mate
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
the legend himself!
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
IRC is more famous than Internet Relay Chat, so yeah, Internet Relay Chat Chat
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
open the code and change the hex colors like a proper programmer
babycommando··on ZUSE: IRC terminal client
its still got the underground vibe tho
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
clearly not using bubbletea/lipgloss tho lmao
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
oh there is a wide range of IRC clients for the terminal indeed. The project here was to implement bubbletea/lipgloss. Its like CSS for terminal UIs! Check it out when you can, pretty neat visuals.
babycommando··on ZUSE: IRC terminal client
Someone get this man an oled screen! Jokes apart, thanks for the tips!
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
Good idea!
babycommando··on ZUSE: IRC terminal client
ZUSE was initially made to go along a CLI I've built for a synthwave radio NightrideFM (https://nightride.fm/), that has a hacker subchannel named Rekt Network (https://rekt.fm/). Both communities are still very active there!

irc.rekt.network:6697 channels: #rekt,#nightride TLS true

Also checkout the Nightride cli at https://github.com/babycommando/nightride-cli

babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
Thats neat actually, will take a look into how viable it can be. Bubbletea (and lipgloss) are like CSS for the terminal, you do the styling, calculate margins, manage responsive things wich is quite cool already. I believe what you mean is totally doable, just that I'm not much of a mouse user myself - it slows me down. Thanks for the feedback.
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
Thank you! ::)
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
long live hexchat!!
babycommando··on ZUSE – The Modern IRC Chat for the Terminal Made in Go/Bubbletea
Absolutely lovely!!
babycommando··on ZUSE: IRC terminal client
Thanks!! I'm going to improve the readability to enable contributions. Hope you liked ::)
babycommando··on Neural Graffiti – A Neuroplasticity Drop-In Layer for Transformers Models
Liquid neural networks are awesome - they change how that "neuron black box" connects over time given its past experiences, emulating the human brain in relating concepts and how it changes our perspective.

They are great at time series forecasting like weather and analytics, however the idea is to do it on a transformers model, making it acquire neuroplasticity at token prediction - and as we know its very expensive to train a whole model from scratch.

I figured we could splice in a new neuron layer inside the model's networks right between the transformers layer and the output projection layer that actually predicts the tokens. This way the thought would have "influences" of past experiences for every token generated aka. during the entire line of thinking, making the model acquire a "personality in behavior" over time.

The vector embeddings from the transformers layer are mean-pooled and "sprayed" with past memories changing the way each token is generated, influencing the meaning and therefore choice of words in the vocab space. This neural “Spray Layer” also remembers the paths it took before, blending new input with previous ones and gradually evolving its internal understanding of concepts over time.

It won’t guarantee exact word outputs, but it will make the model lean into certain concepts the more it interacts. For example: Tell it you love dogs, and over time, the model will start leaning toward dog-related kindness, loyalty, and fuzziness in its tone and direction. More teste are yet to be done and I know there is a cold start problem, finding the sweet spot is key.

This is quite fascinating, especially because we don't know exactly what happen at the model's transformer neuron level and how it makes the connections, but hacking it like this is interesting to watch.

I called this technique "Neural Graffiti", and it is free and open for everyone.

Try the demo and give it a star on the github repo!