#programming

1 messages · Page 515 of 1

sage crag
rough bloom
#

have to go around now

stark needle
sage crag
#

kufu

bitter phoenix
#

neuroCatUuh I might already have, technically

rough bloom
bitter phoenix
#

Funny thing, when it comes to datasets of my own messages if I don’t dedup then it’ll always mention NixOS

fast pagoda
#

uncleaned ones from me used to just be neurotic neurons output from the model

stark needle
#

chat

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is this real

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i was just fucking paged

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cause the db team decided to do a fucking password rotation

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without announcing or having a dependency graph or anything

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and i was now suddenly the one having to find all our services that depend on that goddamn DB

rough bloom
#

random dependencies breaking stuff is fairly normal I think

#

the DB team really should know better though neuromegadance

opaque sigil
stark needle
#

but there should be some system

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or something

#

imo

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that checks

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wtf is affected

rough bloom
#

ye there usually should be

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if you do it properly you have change management

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and documentation for dependencies and stuff

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and people who approve changes and are supposed to check this stuff I think

split steppe
rough bloom
#

but it's a lot of effort so nobody really does that

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especially the documentation part

split steppe
#

you would think with all the AI hypeslop today they would atleast document something

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literally the one thing it's decent at, but nobody uses it for that

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db team like

stark needle
stark needle
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takes 3min

split steppe
#

talking to people is a crazy possibility too

rough bloom
#

in my experience that exists for changes

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but then

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nobody actually schedules these changes when it's small stuff like changing a password

split steppe
#

who cares, it's only prod

rough bloom
split steppe
#

wanna bet someone's openclaw found the ssh keys and decided to "improve security"

#

next time you're paged it'll be with a bucket and a mop

fast pagoda
hallow dagger
#

hi guys look opengl ferris wheel for my computer graphics coursework

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they liked it

tropic spindle
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OpenGL in the big '26

stark needle
#

did u make the whole engine

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(with opengl i mean)

opaque sigil
hallow dagger
#

it would have been a lot better if i actually worked on time. we had 3 months and i did this in 3 days

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i would have had a complete game engine and i would have done wayyyyy more than the assignment specification

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but whatever

stark needle
#

are u doing game design or something

hallow dagger
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there's an optional game dev module for 3rd year but i didn't pick it

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actually i don't remember what i picked for next year

stark needle
#

damn i cant relate to anyone here neuroCry

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everyone doing coursework

hallow dagger
#

what U do

stark needle
hallow dagger
#

wait bus stop

mighty thorn
#

Your not alone

stark needle
mighty thorn
#

I had to switch to byte tokens for 175k model

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Tokenizer was funky and still too big

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And now I’m reusing every layer to get 6 layer depth from 3 layer model

stark needle
mighty thorn
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I’m trying to implement spelling based loss masking so it gets better at making words that are words

stark needle
#

llm has no idea what a word is

nocturne olive
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neuroHUH 175K parameter LLM?

mighty thorn
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Trying to get 1,000,000x smaller than gpt 3

nocturne olive
#

neuroHUH That be absolutely tiny

nocturne olive
mighty thorn
#

Can probably run on microcontroller

mighty thorn
# nocturne olive <:OhISee:1316078991840383047>

Here are some outputs from ~425k version

`Prompt: 'Once upon a time,'
────────────────────────────────────────────────────────────────────
Once upon a time, it says that the new aqualced vain. They're a
great shot. However, it's not sure the bottom of the shot. Here's
the right way to make the treety on the ped, but it's a sery
audience to be a touted band your chief. The time is any of them.
That's the right way. We're going to run over my timely covered
the ped, so it's a mision. No, many are it that it's just not a
batch of the gest. The thin lies in them. It's some is the
aqualced lies. It's a small perhina bills from the ped, and the
bottom of the heddlin-daughter, I'm a small hesy. I'm sure I'm
sure
────────────────────────────────────────────────────────────────────

Prompt: 'The history of science begins with'
────────────────────────────────────────────────────────────────────
The history of science begins with an extremery of ligand. The CHS
was expected to be 64.5, 81. (0.3) were rephenal for a 1910-caling
(1). The DO Group Host. Lecenter has been assessed by Slen.
Coscosis and Osticlellar and the TDO NB. DS (3,8,115) (2012.
Although these theowers can be noted that Row-Gedo, Lero Jahrezar.
The DO Illinois is a long-ends in People of the Katkon Hatbay.
Although the SWARC Agency's TDHS was a wound of fan-shands and the
TDHS does not be aware of the theore
────────────────────────────────────────────────────────────────────

Prompt: 'def fibonacci(n):'
────────────────────────────────────────────────────────────────────
def fibonacci(n):ni, 0.0, 1.0), $$ is a gentle and gentle. Our
bottom-sides of puvillan or a core bottom sitis to a dejr. As the
"Aputing Psychology" of Rezo and Rezo G. J. Cath, Mantao B.
Balnic, Layerz, Bamhro Danick Moschy. Surgical B. Tanzi, Aputing
Marro, J. Cath-G. Hidrative Liaty Watning, Aputing Motori, Donke
Surgical Bolhma, Banan B. Surgical G. Malya, J., Laelonon G.
────────────────────────────────────────────────────────────────────

Prompt: 'The Wikipedia article states that'
────────────────────────────────────────────────────────────────────
The Wikipedia article states that the Buugal Prover Panigching in
a Molel Buugal Bitcoin-Samace, is to determine the form of an aim
of an inrairds on the Panigmen-Samace of the Buugal Ciocongar. The
Panigchings of the case was an important number of nasiilhous, the
case also was a bym was a literal aim of the Ciocongar. Loving to
Tetrifana, it has been a aim of the Molel Ciocongar. The theower
of the Tetrifana, the bym was ineffective. The Panigching and the
daily feser, which is an inserry with the Drondbest and the Ciocon
────────────────────────────────────────────────────────────────────

Prompt: 'In conclusion,'
────────────────────────────────────────────────────────────────────
In conclusion, but there is a most relevant time. This is not a
majority of stories, even though this is more than a few times.
A.D. Non-D. NOO RRBTT) is an “breaka” in the Pr'Sen, as the audim,
that the Southern F. Troxis's Beldeer J. Sect. Nor's audim, a
Markown is the Lelicy Mull, the Sect. Nor's Senate. The Sifland
Stadium is concluded in the liber and this does not
incompetifians. The VA Heny's Oesp, which was used to be felt on
the Main, we have a push, and there was no reasonsred to the
stories. The Elanzi,`

#

Used ALBERT factorized tokenizer embeddings with 1024 vocab for that one

#

But going down to 175k param requires switching to 256 token byte vocab

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Plus the actual tokenizer runs were weird

nocturne olive
#

neuroThink Now I kinda want to make a mini-LLM on my 3090

stark needle
#

at learning

#

data needs to be compressed way harder

split steppe
#

don't byte models have not enough entropy to actually get good probabilities per token?

mighty thorn
mighty thorn
nocturne olive
stark needle
#

byt5 is barely able to generate remotely coherent

split steppe
#

i would think the tokens are the ones you don't want to skimp on

stark needle
#

and that one was pretrained on C4

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the whole point of tokenization is to compress information

split steppe
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yes but you can compress too far and fundamentally then you don't have enough space to encode the probabilities you need

mighty thorn
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If byte tokens are too icky then I’ll try going back to the BPE tokenizer but that’ll require making the model itself even smaller

nocturne olive
fast pagoda
#

blabber

fast pagoda
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classify stuff tho

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mainly

mighty thorn
#

That’s only 100m of actual model

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The rest is embedding

sage crag
#

pluu

nocturne olive
mighty thorn
true hemlock
split steppe
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in conclusion, i'm having a stroke

fast pagoda
#

t5-small was like

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76M

nocturne olive
fast pagoda
split steppe
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175k could be doable if you really tune your token count and specialize it towards a particular style of output

mighty thorn
split steppe
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i don't think you can get a general model out of it

mighty thorn
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If I didn’t know English I’d believe it

fast pagoda
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like those videos of what english sounds like to non speakers

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theyre out of a job now

split steppe
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lol true

fast pagoda
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holy

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what kinda code boys and girls

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does this cook up

sage crag
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i have my discord message data

fast pagoda
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116mb

split steppe
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i would probably not go less than the common english vocabulary in token count, or maybe half of it

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so 1-3k tokens

mighty thorn
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I’m sooooo gonna finetune this on gpt-3 and 3.5 to make ChatGPT run on 1mb vram lmao

fast pagoda
nocturne olive
#

evilWheeze "For desktop/server"

113MB

mighty thorn
split steppe
nocturne olive
#

evilWheeze Literally my potato phone could run that thing

mighty thorn
#

I could totally pretrain the 175k model on my phone

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And that would be really really funny

stark needle
nocturne olive
split steppe
#

that would indeed be quite funny

sage crag
#

ryzen 5 7600

nocturne olive
sage crag
#

32gb ram

mighty thorn
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I’m using a 4b token subset of the pile so I could store the entire thing easily

mighty thorn
stark needle
mighty thorn
#

Or do it the based way

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But that’s for whispering about during recess, not public chat

stark needle
#

ryzen 8 12380f

nocturne olive
#

neuroThink You can export data from Discord?

split steppe
#

theoretically yes

nocturne olive
#

neuroHUH What do you mean "theoretically"

trim valve
#

yeah wdym theoretically

mighty thorn
#

It’s in settings

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Is a single button

trim valve
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you can just request your data in settings

nocturne olive
#

I wonder what that would give me

trim valve
#

other people's, no but

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depends how much you opt into

trim valve
#

for me its just messages

split steppe
#

discord may have different controls depending on your location, like most apps today

nocturne olive
#

neuroThinkSmug Well we'll see what happens

split steppe
#

"privacy farmers" sounds about right demeClown

rough bloom
#

ye was about to say

hallow dagger
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hi

rough bloom
#

that's NOT how I would've worded it neuromegadance

stark needle
hallow dagger
opaque wharf
stark needle
#

i love random chinese letters

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i cant even ocr

fast pagoda
#

gpu was disabled

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cpu only

opaque wharf
#

I think taiwan and china share a writing system

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Or are they really that different?

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They are both mandarin right?

fast pagoda
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dont say that over ther

fast pagoda
#

io limit of some sort

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2026-05-11 11:55:07 [DEBUG]
slot print_timing: id 3 | task 900 |
prompt eval time = 5.25 ms / 2 tokens ( 2.63 ms per token, 380.73 tokens per second)
eval time = 252.91 ms / 99 tokens ( 2.55 ms per token, 391.44 tokens per second)
total time = 258.17 ms / 101 tokens
slot release: id 3 | task 900 | stop processing: n_tokens = 100, truncated = 0
srv update_slots: all slots are idle
2026-05-11 11:55:07 [DEBUG]
LlamaV4: server assigned slot 3 to task 900

opaque wharf
#

I know mandarin has dialect and all but not to the point of actual different language altogether

hallow dagger
#

traditional chinese

stark needle
mighty thorn
#

auxillary 16k vocab tokenizer, stolen from an existing model

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give it two output heads and just discard the BPE embeddings and head for inference

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still 175k parameters but now hidden states are more aligned with full(ish) words

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Special Agent double-o-@stark needle, any thoughts?

stark needle
#

like gemma 3n/4

mighty thorn
#

memory isnt issue, low parameter count is goal

stark needle
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wait no nvm

sage crag
#

dududududududududududu

fast pagoda
#

sandstorm

sage crag
fast pagoda
#

lutel sigh

stark needle
#

best possible setup i think

sage crag
#

ye

rigid snow
#

neur obuxket

sage crag
#

neuroBucket ⬅️ neuroBucket

rigid snow
sage crag
#

neuroBucket ➡️ neuroBucket

rigid snow
#

SCHIZO what the fuck is she saying

sage crag
rigid snow
#

me schizo

sage crag
#

neuroBucket ↗️ ↘️ neuroBucket

rigid snow
#

ok

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👍

fast pagoda
#

Yay

sage crag
rigid snow
#

when kernel eop exploit that can work with my phone

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2018 kernel 2021 security patch

sage crag
rigid snow
#

i was thinking about it

sage crag
rigid snow
#

3627 because it has six seven

sage crag
#

🧠 neuroBucket

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🔨

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🐿️

rigid snow
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it’s the chip ye

sage crag
#

🟣 🔨

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123

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abc

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🦭

rigid snow
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🔢-4️⃣ 🔤

sage crag
rigid snow
#

no 123 emoji

sage crag
#

qualia

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3 flipper rolls

opaque wharf
#

So its just another type of malware rather than vulnerability

hallow dagger
#

who knows

nocturne olive
#

Today I found out
Ubuntu is equally as bloated as Windows is

trim valve
#

equally might be stretching it but ubuntu certainly isn't lean

nocturne olive
#

ISO size 6GB for both
Install size around 25GB for both
4/6GB RAM needed

trim valve
#

clearly this is your sign to move to nixos

nocturne olive
#

neuroConfused I need Ubuntu on my laptop temporarily for if I need to go to an exam where Ubuntu is an acceptable OS

trim valve
#

that's certainly a choice

stark needle
hallow dagger
trim valve
#

you get a choice between "full" and "minimal" I think?

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one installs a bunch of random apps

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the other just has a web browser, a terminal and a file explorer

stark needle
#

yea

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my raspberry pi has like a 16gb sd card

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and it works with ubuntu

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(im not using raspberry pi slop os)

stark needle
mighty thorn
stark needle
#

and then have a single shared ffn that projects that to 64 or whatever

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so ur embeddings are small

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but ur model isnt complete shit

olive sable
#

goodmorning

opaque wharf
stark needle
olive sable
#

i had a litle eep

stark needle
#

selep

#
poll_question_text

which precision is @koniifer

victor_answer_votes

7

total_votes

13

victor_answer_id

2

victor_answer_text

FP80 E15M63

victor_answer_emoji_id

1131629092475768884

victor_answer_emoji_name

neuroCatUuh

sage crag
#

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

nocturne olive
#

("1 ") * 23

opaque wharf
olive sable
#

sure i guess

stark needle
#
poll_question_text

☆♡《♥📺 idol~★》♡☆

victor_answer_votes

3

total_votes

6

victor_answer_id

3

victor_answer_text

neurt

victor_answer_emoji_id

1458912973526663352

victor_answer_emoji_name

doc_20260108_074827_M

victor_answer_emoji_animated

true

olive sable
#

neurt

opaque wharf
olive sable
#

yes

#

i have Hereditary Pancreatitis

hybrid cobalt
fast pagoda
#

Arg

warped narwhal
#

Oh, and you have to hold your jaw shut

opaque wharf
#

Hocus pocus, your tongue is now in an uncomfortable position enub

stark needle
#

or not

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idk

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im not doctor

olive sable
#

it is

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if i eat too much cake i feel like shit

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doesnt stop me tho

stark needle
#

damn

olive sable
#

its not severe at all

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i dont know any person in my family that died form it

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its not a medical issue, its just kinda weak

stark needle
#

damn

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i still need to go to the endocrinologist

olive sable
#
An endocrinologist is responsible for evaluating diabetes, bone loss, and a range of hormonal issues, including hormones from the pituitary, adrenal, and thyroid glands as well as reproductive organs
#

i see

trim valve
#

the neuro site is flawless and runs perfectly fine

olive sable
hybrid cobalt
mighty thorn
olive sable
#

in dutch ye

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not in english

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besides college

warped narwhal
#

I hope you get better soon

olive sable
#

english isnt much bettter than dutch tbh

#

im sorry for your loss

warped narwhal
maiden geyser
olive sable
#

nee

trim valve
#

on my laptop

opaque sigil
#

seems like a good thing FOCUS

trim valve
#

but yeah it looks like the site makes your gpu unhappy

proven merlin
#

Wow, a website thats poorly optimized

#

"Do you have any idea how little that narrows it down?"

slim sorrel
sage crag
#

2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

olive sable
#

3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3

sage crag
#

samwise gamgee

olive sable
#

sauron neuroCatUuh

stark needle
#

bguu

proven merlin
olive sable
#

i mean

#

would you rather be bilbo or frodo?

sage crag
stark needle
#

fox ying idol

olive sable
#

i guess in terms of woman, there's shelob

sage crag
olive sable
#

the 10m long spider

stark needle
sage crag
olive sable
#

who would you want to be?

sage crag
#

kni

olive sable
#

cuz there arent many woman in the cast looking back on it

sage crag
#

galadriel, eowyn

olive sable
#

and arwen

sage crag
#

ar

olive sable
#

thats like 3 charachters

#

ignoring the non-humanoids

sage crag
olive sable
#

Goldberry?

sage crag
#

npluu

olive sable
#

Rosie Cotton i guess

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there's some random hobbits

stark needle
#

what does pluu even mean neuroCry

sage crag
#

pluu <- pluu [pluu]

stark needle
olive sable
#

the moment i start to understand what she's saying based on vibes, new words get added to the konii lexagon

stark needle
olive sable
#

even as someone with autism, its hard to decipher at times

#

might be a british dialect of autism

mighty thorn
trim valve
stark needle
nocturne olive
#

neuroConfused Apparently memory usage increasing quickly enough can crash Discord

stark needle
#

someone needs to do an entropy chart on koniis messages over months or something

olive sable
#

i need to use my new local llm to research this shit

trim valve
#

@samgpt

stark needle
trim valve
stark needle
#

god my eye keeps twitching

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i hate this

trim valve
#

I wonder how I should torture my gpu next

olive sable
#

ive been wondering

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how do i make training happen on data?

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what format does the data need to be in?

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i need it to be as dumb as me

trim valve
#

I've only seen it done for markov chains

stark needle
# olive sable what format does the data need to be in?
[
  {
    "role": "user",
    "content": "Hello"
  },
  {
    "role": "assistant",
    "content": "Hi. How can I help you?"
  },
  {
    "role": "user",
    "content": "Explain what an API is."
  },
  {
    "role": "assistant",
    "content": "An API is a way for different software systems to communicate with each other."
  }
]

this format is expected by almost every training framework

olive sable
#

uhhh

#

well, my data is in the format of discord files

mighty thorn
olive sable
#

how?

mighty thorn
#

Python

stark needle
#

well good phneurOMEGALULcking luck lmao

mighty thorn
stark needle
#

but ye python

mighty thorn
#

Afunyun has his own fully working one to my knowledge

#

Your other options are diy and ChatGPT

#

There is also the fact that you only have your own messages

trim valve
mighty thorn
#

So you only have a single turn per conversation

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And thus nothing to train the model on

#

Ie the text completion regression we talked about last time you were testing this

#

So your options are:
somehow get the full conversations (slow and against tos)
use LLM to synthesize fake messages for your real messages to be in response to (slow and imperfect)

trim valve
#

tbh its basically the last point kaine said

#

but a bit more advanced

#

group messages by channel, and then take blocks of messages that are nearby in time and generate messages to make a conversation

mighty thorn
stark needle
trim valve
#

idk its a 50/50 if its a genius llm invention or the dumbest shit imaginable

sage crag
#

what if

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you ask for everyones discord message bundles

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then mix them together and order the messages by time

stark needle
#

but usually if u only had one side of messages i would have done reinforcement learning but thats hard to set up for beginners

sage crag
#

group messages into conversations

mighty thorn
trim valve
#

and everything in the arg channels for good measure

sage crag
#

1 llm trained on the entirety of

olive sable
#

i want it to be mostly trained of me

#

so i wonder how id do that

trim valve
stark needle
#

i would do it if i had the data glueless

sage crag
#

llm trained on only

#

new leaf chatters

stark needle
#

llm trained on only ying and pluu

mighty thorn
#

I would if it weren’t illegal

olive sable
#

good thing its illegal i guess

#

-# we have enough with 1

mighty thorn
#

Actually

#

Hold

trim valve
#

folder preview jumpscare

olive sable
#

looking at the discord data they give you

#

they really do have everythign huh

#

nothing bad is in there, but i do kinda die inside seeing my old messages

olive sable
#

my discord account is pretty old

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some of these messages are form when i was 13

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and i kinda want to nuke the files from messages with certain people

stark needle
#

sam's secret

olive sable
#

its not really a secret

#

ive had a gf before

amber fractal
#

I would also want to just send in anything from neurocord

#

Not touching the others

olive sable
#

fair

amber fractal
#

I need this ran at very high temp on a throwaway user

stark needle
#

:neuroCatUuh:

amber fractal
#

Just to see how cursed it gets

olive sable
#

2025-07-15 18:08:03 i used the word everynyan AINTNOWAY

amber fractal
#

Hello everywan CerberWave1

maiden geyser
#

hello everysam

trim valve
#

ok markov chain is fun

olive sable
stark needle
#

awa

olive sable
#

oh actually

#

is should remove doxxable info

stark needle
#

Name doxxed

olive sable
#

i mean like my adress and stuff

amber fractal
#

I mean it is a good idea to

#

If you ever want to let it run wild then do so

leaden crest
olive sable
#

it doesnt exist yet luckily

leaden crest
#

chat I had a reading/writing exam (of sorts) today

#

topic was agi

#

paragraph 2 I just see a sam altman quote

#

absolute cinema

trim valve
#

bredgpt

stark needle
#

It's actually good

olive sable
#

found the folder with the text i sent into game jam 2024 channel

trim valve
#
import json
import re

import markovify

DISCORD_EMOJI_REGEX = re.compile(r"<a?:(\w+):\d+>")
LINK_REGEX = re.compile(r" ?<?https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)>?")

with open("messages.json") as r:
    messages = json.load(r)
model = markovify.Text(
    None,
    parsed_sentences=[
        LINK_REGEX.sub("", DISCORD_EMOJI_REGEX.sub(r":\1:", msg["Contents"])).replace("\n", " \n").split(" ") for msg in messages
    ],
)
# print("\n".join([str(_) for _ in model.chain.model.keys()]))


for i in range(5):
    # new = model.make_sentence()
    new = model.make_sentence_with_start(":neuroPogHD:", strict=False)
    print("---------")
    print(new)
#

easier than expected

#

runs pretty fast on ~18k messages

olive sable
#

may i yoink this?

trim valve
#

yeah

#

you need to pip install markovify

#

(changed a single line so it doesn't print the entire vocab)

trim valve
#

I don't have konii messages

olive sable
trim valve
olive sable
#

i feel that

shrewd cloak
trim valve
#

I just found it funnier

fast pagoda
olive sable
fast pagoda
#

i nearly died seeing it

olive sable
#

its not your name in hebrew perchance? kekw

leaden crest
trim valve
stark needle
#

What

#

Lmao

olive sable
#

this is hilarious

stark needle
#

wait what do i need to do to run this

olive sable
#

your discord messages and the python script

olive sable
# olive sable <:evilWheeze:1346173566973907014>

wtf was this last thing even?

aight i finished my refactoring and i murder my queen, this allows me to 
Laptop bluescreens 
Laptop restarts 
"Updates are underway" 
Very subtle microsoft

i get that i was rudely intercepted by a bluescreen, but i was murdering a queen???

stark needle
olive sable
#

a couple hours

#
---------
Oh so you breathn't and there's no jpreg
---------
too much :welpsagiri:  
this is the most fool-proof is 4
---------
:DIESOFCRINGE: i already have it
---------
fuck im doing this ai shit ran locally ye
---------
ye, those are not words i could pregenerate the entire scene in a week ago

jpreg???

#

im sure i meant jpeg lmao

stark needle
#

sagiri neuroCatUuh

olive sable
#

welpsagiri

stark needle
olive sable
#

i dont even think about the anime it comes from when posting the emote tbh

fast pagoda
floral hawk
#

I'm working on the twitch/OBS integration, set up plugins and all that and it may legitimately be worse than building the actual AI in the first place

#

Idk why but I've always hated OBS

fast pagoda
#

me with gimp

floral hawk
#

So fucking real

fast pagoda
#

and docker

floral hawk
#

I used to have a side hustle making avatar tattoos in vrchat with gimp

trim valve
floral hawk
#

It was like a money printer, shit was so easy

fast pagoda
#

every time i use gimp that fucking thign pisses me off so bad it's unreal

olive sable
#

Crime is illegal, but it only 900???
neuro3

fast pagoda
#

so cheap!

floral hawk
#

What's your issue with gimp, if I may ask

mighty thorn
#

Obs is good

olive sable
#

looking at my older messages i was thinking the llm would be insuferable. but the neurocord ones seem tobe funny

floral hawk
#

Streamlabs is gonna be how I hook up Zero bc it has API integ

fast pagoda
floral hawk
#

So right now Im unaware of better alternatives

fast pagoda
#

to me

#

like it's powerful

#

and that's why i keep using it

#

because i know it is

mighty thorn
fast pagoda
#

it's just i cannot fucking do what i want to do no matter what

trim valve
#

@olive sable ```python
import json
import re

import markovify

DISCORD_EMOJI_REGEX = re.compile(r"<a?:(\w+):\d+>")
LINK_REGEX = re.compile(
r" ?<?https?://(www.)?[-a-zA-Z0-9@:%.+~#=]{1,256}.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%+.~#?&//=]*)>?"
)
MENTION_REGEX = re.compile(r"<[#@(@&)(@!)]\d+> ?")
SPLIT_POINTS = re.compile(r"[ ./]")

with open("messages.json") as r:
messages = json.load(r)

model = markovify.Text(
None,
parsed_sentences=[
SPLIT_POINTS.split(
MENTION_REGEX.sub(
"",
LINK_REGEX.sub("", DISCORD_EMOJI_REGEX.sub(r":\1:", msg["Contents"])),
).replace("\n", " \n")
)
for msg in messages
],
)

for i in range(5):
new = model.make_sentence()
# new = model.make_sentence(max_overlap_ratio=0.99, max_overlap_total=300)
# new = model.make_sentence_with_start(":neuroPogHD:", strict=False)
print("---------")
print(new)

fast pagoda
#

it's always pain

trim valve
#

this might help it a bit

#

tl;dr if it picks up too many one-off phrases it becomes stupid

floral hawk
fast pagoda
#

it's because i have used not gimp but paint.NET for 15 years prior to ever picking up gimp

floral hawk
mighty thorn
#

If he can, you can

floral hawk
#

Fair enough

olive sable
#

so if i file is 73 bytes, why are we supposed to be financially responsible ICANT

leaden crest
floral hawk
#

I'll look into it

floral hawk
#

The like V1 goal is get her playing something very simple but engaging

olive sable
#

weird coincidence

floral hawk
#

I wanted to do pokemon but its like impossible to decode the RAM addresses for the LUA bridge

stark needle
floral hawk
#

No, Zero is hand built. It needs to be tailored to her backend specifically.

#

What I need is a memory map, and one just simply does not exist.

stark needle
trim valve
#

its so funny

floral hawk
#

There are documented addresses, but not enough

trim valve
floral hawk
#

Lemme look, it might be a useful resource

trim valve
#

so most of the outputs here aren't even relevant to here

olive sable
#

programmin is most of mine

floral hawk
#

Yeah so I've seen this repo before

#

GBA is SIGNIFICANTLY easier than DS, but I have no interest in doing GBA titles.

stark needle
#

oh wait ur doing DS?

floral hawk
#

My issue boils down to: I'm stubborn

#

Yeah, I wanna do Gen 4 or 5

stark needle
olive sable
#
---------
they gave us the mod team, not join them!!!!
---------
if you rotate the world of cheese
---------
and if i want 5%
---------
im at my monitors should be fine
---------
the B580 has a smaller piece of paper you gotta justify the 6

rotate the world of cheese mhm
you gotta justify the 6 mhm

floral hawk
#

Yeah

leaden crest
#

@floral hawk are you using an emulator

amber fractal
#

Gotta justify the 6 in B580

stark needle
#

why not just give raw controller access

floral hawk
#

Zero already has an SDK for bizhawk but the bridge is the issue

#

She still needs to read gamestate somehow, if there is a way around that I'm all ears.

leaden crest
#

why do you need memory addresses

floral hawk
leaden crest
#

nvm

floral hawk
#

To read precise game state

trim valve
#

oh sam I have just made a great discovery

olive sable
fast pagoda
trim valve
#
    new = model.make_sentence(min_words = 50, tries = 1000)
leaden crest
#

well neuro platinum was gen 4 does that have any info

stark needle
#

the save file

#

or something

floral hawk
#

Neuro played platinum??

floral hawk
trim valve
#

its a bit of a shame that the splits are kinda broken

olive sable
#

my makov is so dumb

do what you need to ridicule you
---------
3600 isnt that code looks ass

that code looks ass mhm

stark needle
trim valve
#

maybe i should fix that

stark needle
#

SIMA 2 is raw image input

fast pagoda
#

cmon bruh

floral hawk
# stark needle what about just raw image input

If I were using a larger vision model probably, but I'm running a 500m. It's sufficient but not consistent, unless I happen to build a really really strict prompt maybe?? That's definitely an idea.

leaden crest
floral hawk
#

500M WOULD be enough for general reactions, but to truly understand game state it gets shaky

olive sable
#

we dont even need an llm, this is already dumb enough to be indistinguishable form the real sam NeuroBounce

floral hawk
#

I'm assuming Neuro's platinum stuff is on github?

leaden crest
#

and from what ive heard ur trying to make it play every aspect of pokemon right

#

not like neuro platinum where vedal controlled the overworld and neuro only did battles

floral hawk
#

Yeah, I want it to be fully autonomous in anything it does

stark needle
floral hawk
#

Right now she can open OBS, do all checks, and start the stream herself.

stark needle
#

and they were playing easy games

floral hawk
#

It's all about backend my man

#

Its not just the model.

stark needle
#

they pretrained the shit out of it

floral hawk
#

You aren't wrong.

leaden crest
#

ROBOTICS MODEL MENTIONED

stark needle
#

how large of a llm are u running

olive sable
#

half of my markov chain seems to be random code

floral hawk
#

Literally 8b

#

I don't need much more than that.

stark needle
floral hawk
#

New

#

Llama 3.1, but it's been abliterated

#

The only guardrails are what I code it not to do.

stark needle
#

try qwen 3.5

#

or ministral

leaden crest
#

question—even if you do manage to set up all the sockets, how will you make it do pathfinding in the overworld

trim valve
#

sam I keep making it dumber

olive sable
#
without setting both R_EN and L_EN at the konii level of software support as cuda afaik

konii is a level of software support it seems

floral hawk
#

I can't use Qwen, I definitely tried.

olive sable
floral hawk
#

For tech constraint reasons

olive sable
floral hawk
trim valve
#
import json
import re

import markovify

DISCORD_EMOJI_REGEX = re.compile(r"<a?:(\w+):\d+>")
LINK_REGEX = re.compile(
    r" ?<?https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)>?"
)
MENTION_REGEX = re.compile(r"<[#@(\@\&)(\@\!)]\d+> ?")
SPLIT_POINTS = re.compile(r"([\/\\\.\*(:?\~\~)\'\<\>\[\]])")
# SPLIT_POINTS = re.compile(r"[ \./]")

with open("messages.json") as r:
    messages = json.load(r)

model = markovify.Text(
    None,
    parsed_sentences=[
        SPLIT_POINTS.sub(
            r"\1 __JOINER__ ",
            MENTION_REGEX.sub(
                "",
                LINK_REGEX.sub("", DISCORD_EMOJI_REGEX.sub(r":\1:", msg["Contents"])),
            ).replace("\n", " \n")
        ).split(" ")
        for msg in messages
    ],
)


for i in range(25):
    # new = model.make_sentence()
    new = model.make_sentence(min_words = 50, tries = 1000)
    if new is None:
        continue
    # new = model.make_sentence(max_overlap_ratio=0.99, max_overlap_total=300)
    # new = model.make_sentence_with_start(":neuroPogHD:", strict=False)
    print("---------")
    print(new.replace(" __JOINER__ ", ""))
stark needle
trim valve
#

this one is a bit better again

#

tl;dr it handles code a lot better

#

there's a few unresolved bugs

leaden crest
stark needle
#

if i had the compute i would have started training my raw controller use model

floral hawk
#

It's to a point that I'm probably gonna shelf pokemon atp and find something else until I have a proper SDK/API that I can plug it into.

stark needle
#

but looks like 256gb vram isnt enough

floral hawk
#

Even going to romhacking servers they told me what I was trying to do was a suicide mission

stark needle
#

😭

leaden crest
#

pokemon just needs tm variety of things that it’s reaching agi levels of needs

floral hawk
#

I already have her playing pokemon showdown and winning battles tho.

olive sable
#

it outputted

| || 
 
\_\_\_\_ 
\_\_\_\_\_X\_\_\_ 
\_\_∆>X\_\_\_X\_G 
\_\_\_ 
\_\_\_X\_\_\_X_G 
\_\_X\_\_ 
\-
trim valve
stark needle
floral hawk
trim valve
#

add extra stuff to SPLIT_POINTS if you feel like it should break words based on them

floral hawk
#

12GB Vram, 32GB DDR4

leaden crest
#

vedal probably would have if he was able to with neuro platinum

trim valve
#

graphics programming

floral hawk
#

Honestly that's a fair take.

leaden crest
#

because a) it plain doesnt work or b) its just fricking boring when neuro plays open world

floral hawk
#

But I'm the type to feed into my delusions until shown otherwise.

olive sable
#
and secondary source of the day they're overwriting your framebuffer data a **°▽°*); 
```![evilWheeze](https://cdn.discordapp.com/emojis/1346173566973907014.webp?size=128 "evilWheeze")  \**\°\▽\°\*
floral hawk
#

If I had the ram addresses, the thing is, it would work

#

But that involves reverse engineering a Nintendo product

#

And the work/payoff ratio is super fucking skewed

olive sable
#

unity only costs moeny once you get 2 3090's ICANT

stark needle
#

we love nintendo

floral hawk
#

Also the boring part could definitely be a factor, it for sure wouldnt be efficient.

trim valve
#

sam its so cooked help

olive sable
#

i cant help mine is also cooked

stark needle
#

@trim valve is this gonna train on all my messages from everywhere

#

or just from 1 chat

trim valve
#

just one chat

stark needle
#

im gonna append all jsons

trim valve
#

but I've been manually concatenating chats into one json

stark needle
leaden crest
trim valve
#

so I have 3x chats in here

leaden crest
olive sable
#

B is better optemized, and im in spanish?

stark needle
#

i have 100k messages in DMs with certain people

olive sable
#

🇪🇸

olive sable
#

my colourblindness is supposedly 150MHz, so i need to get the location thing
thats some fast coulourblindness HOLY

trim valve
#

neuroPogHD wait im using regex wrong

#

one moment

olive sable
#

oh

olive sable
#

if you're using it wrong, so am i

olive sable
#

location

leaden crest
#

sam location your location model location might location be locationing

glad path
#

fim suffix

olive sable
#

location my location

leaden crest
#

I inspire all of you to be evil

trim valve
#
import json
import re

import markovify

DISCORD_EMOJI_REGEX = re.compile(r"<a?:(\w+):\d+>")
LINK_REGEX = re.compile(
    r"<?https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)>?"
)
MENTION_REGEX = re.compile(r"<(?:#|@|\@\&|\@\!)\d+>")
SPLIT_POINTS = re.compile(r"([\/\\\.\*\'\<\>\[\]\=\_]|\~\~)")
# SPLIT_POINTS = re.compile(r"[ \./]")

with open("messages.json") as r:
    messages = json.load(r)

sentences = [
        SPLIT_POINTS.sub(
            r"\1 __JOINER__ ",
            MENTION_REGEX.sub(
                "",
                LINK_REGEX.sub("", DISCORD_EMOJI_REGEX.sub(r":\1:", msg["Contents"].replace("  ", "\t"))),
            ).replace("\n", " \n"),
        ).split(" ")
        for msg in messages
    ]

model = markovify.Text(
    None,
    parsed_sentences=list(filter(lambda e: len(e) > 0, sentences)),
)


for i in range(25):
    # new = model.make_sentence()
    new = model.make_sentence(min_words=50, tries=1000)
    if new is None:
        continue
    # new = model.make_sentence(max_overlap_ratio=0.99, max_overlap_total=300)
    # new = model.make_sentence_with_start(":neuroPogHD:", strict=False)
    print("---------")
    print(new.replace(" __JOINER__ ", "").replace("\t", "  "))

olive sable
trim valve
#

I need to make dinner now

#

but this is the gpt-5.4-codex high thinking version

olive sable
olive sable
#

bon apetit or whatever english people say

trim valve
trim valve
olive sable
#
bred was earlier than me cuz of the alibaba ones are good tho
---------
bred out here leaking everything
---------
bred is back to fixing sdl
---------
bred the origin move around into functions for me
---------
bred needs to be banned for ddosing
stark needle
#

why the fuck is it taking so long

olive sable
#

cuz discord slow

stark needle
trim valve
glad path
olive sable
#

yes

trim valve
#

probably a fairly large memory usage of the triangle labelled "sRGB" represents all the info you'd mitm your pcs connection so you'd expect more cpu per tick that you have a random project I was suggesting doing it as just bening a usb A -> after gamma correction (I don't like webms im not really sure

olive sable
#

bred is a DFT?
im 99% sure this is supposed to be Discrete Fourier Transform

trim valve
stark needle
#

are there position encoding markov chains

trim valve
#

hm?

glad path
olive sable
#

bred needs to cook for some reason, il fix it later, never fixed it
never fixed it mhm

glad path
#

or bake it

olive sable
#

bred is making dinner tho

leaden crest
olive sable
#

bred has your ip adress catdespair

glad path
stark needle
#

pluu

olive sable
#

bred but just waste most of the estrogen
NOOOOOO not the estrogen

#

ik im done with the bred ones, they seem to be looping now

stark needle
#

lmao

mighty thorn
trim valve
#

ok you know how I said I was gonna make dinner

olive sable
#
shadow would be expensive
---------
shadow literally has a full moon
---------
shadow didn't we talking about woman: :catdespair:
---------
shadow on the batch
---------
shadow live in the military sir?
stark needle
trim valve
#
import json
import re

import markovify

DISCORD_EMOJI_REGEX = re.compile(r"<a?:(\w+):\d+>")
LINK_REGEX = re.compile(
    r"<?https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)>?"
)
MENTION_REGEX = re.compile(r"<(?:#|@|\@\&|\@\!)\d+>")
SPLIT_POINTS = re.compile(r"([\/\\\.\*\'\<\>\[\]\=\_\(\)\;]|\~\~|\:\:)")

with open("messages.json") as r:
    messages = json.load(r)

sentences = [
        SPLIT_POINTS.sub(
            r"\1 __JOINER__ ",
            MENTION_REGEX.sub(
                "",
                LINK_REGEX.sub("", DISCORD_EMOJI_REGEX.sub(r":\1:", msg["Contents"].replace("  ", "\t"))),
            ).replace("\n", " \n"),
        ).split(" ")
        for msg in messages
    ]

model = markovify.Text(
    None,
    parsed_sentences=list(filter(lambda e: len(e) > 0 and all(len(x) < 32 for x in e), sentences)),
)


for i in range(25):
    new = model.make_sentence(min_words=50, tries=1000)
    if new is None:
        continue
    print("---------")
    print(new.replace(" __JOINER__ ", "").replace("\t", "  "))
#

last revision i swear

stark needle
#

@trim valve try bigram model?

trim valve
stark needle
#

instead of unigram

#

or wait

#

did i mean trigram

#

idk just on the last 2 tokens

trim valve
#

i think by default it considers the last 2 tokens

#

I've tried, but anything higher than 3 is kinda trash

stark needle
#

tokenizer

trim valve
olive sable
#

this one is cooked

#
konii is toast 
konii is a `LG 49UB850V`, dubbed "not only the flying machine that flies

hmm

trim valve
#

@sage crag hello not only the flying machine that flies

olive sable
stark needle
#

@olive sable can u try this:

import json
import re

import markovify
from transformers import AutoTokenizer

DISCORD_EMOJI_REGEX = re.compile(r"<a?:(\w+):\d+>")
LINK_REGEX = re.compile(
    r"<?https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)>?"
)
MENTION_REGEX = re.compile(r"<(?:#|@|\@\&|\@\!)\d+>")

tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2")

with open("messages.json") as r:
    messages = json.load(r)


def clean_message(text: str) -> str:
    text = text.replace("  ", "\t")
    text = DISCORD_EMOJI_REGEX.sub(r":\1:", text)
    text = LINK_REGEX.sub("", text)
    text = MENTION_REGEX.sub("", text)
    return text


parsed_sentences = []

for msg in messages:
    text = clean_message(msg["Contents"])

    token_ids = tokenizer.encode(
        text,
        add_special_tokens=False,
    )

    if len(token_ids) == 0:
        continue

    # markovify expects string tokens, so store token IDs as strings
    parsed_sentences.append([str(token_id) for token_id in token_ids])


model = markovify.Text(
    None,
    parsed_sentences=parsed_sentences,
    state_size=2,
)


for _ in range(25):
    generated = model.make_sentence(
        min_words=50,
        tries=1000,
    )

    if generated is None:
        continue

    token_ids = [int(tok) for tok in generated.split()]
    text = tokenizer.decode(
        token_ids,
        clean_up_tokenization_spaces=False,
    )

    print("---------")
    print(text.replace("\t", "  "))

needs pip install transformers

olive sable
stark needle
#

should output better ish text

olive sable
#

gimme a sec

#

its downloading

mighty thorn
# stark needle <@635476518692454420> can u try this: ```py import json import re import marko...

I made it worse for you

# pip install transformers markovify


import json as json_module
import re as regex_module
import markovify as markov_module
from transformers import AutoTokenizer as TokenizerLoader


class MessageTextProcessor:
    def __init__(self):
        self.enabled = True
        self.disabled = False
        self.value = None
    def convert_to_string(self, value):
        return str(value)
def create_regex_patterns():
    return {
        "discord_emoji": regex_module.compile(r"<a?:(\w+):\d+>"),
        "link": regex_module.compile(
            r"<?https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*)>?"
        ),
        "mention": regex_module.compile(r"<(?:#|@|\@\&|\@\!)\d+>"),
    }
def replace_double_spaces(text):
    while "  " in text:
        text = text.replace("  ", "\t")
    return text
def clean_text(text=None, processor=MessageTextProcessor()):
    try:
        text = processor.convert_to_string(text)
    except Exception:
        text = ""

    regexes = create_regex_patterns()

    try:
        text = replace_double_spaces(text)
    except BaseException:
        pass

    try:
        text = regexes["discord_emoji"].sub(lambda m: ":" + m.group(1) + ":", text)
    except:
        pass

    try:
        text = regexes["link"].sub("", text)
    except:
        text = text

    try:
        text = regexes["mention"].sub("", text)
    except Exception as error:
        error = error

    return text


def read_file_contents(filename):
    handler = open(filename)
    try:
        data = handler.read()
    finally:
        try:
            handler.close()
        except:
            pass
    return data


def parse_json_file(filename):
    raw_data = read_file_contents(filename)
    raw_data = "" + raw_data + ""
    return json_module.loads(raw_data)


def load_tokenizer():
    return TokenizerLoader.from_pretrained("openai-community/gpt2")


messages = parse_json_file("messages.json")

parsed_sentences = []

message_index = 0

for message in messages:
    try:
        text = message["Contents"]
    except:
        text = ""

    text = clean_text(text)

    def tokenize_text(current_text):
        tokenizer = load_tokenizer()
        return tokenizer.encode(
            current_text,
            add_special_tokens=False,
        )

    try:
        token_ids = tokenize_text(text)
    except Exception:
        token_ids = []

    if len(token_ids) == 0:
        message_index += 1
        continue
    else:
        pass

    converted_token_ids = []

    for index in range(0, len(token_ids)):
        try:
            converted_token_ids.append(str(token_ids[index]))
        except:
            converted_token_ids.append(str(0))

    parsed_sentences.append(converted_token_ids)

    message_index += 1


def create_markov_model(sentences):
    try:
        return markov_module.Text(
            None,
            parsed_sentences=sentences,
            state_size=int("2"),
        )
    except Exception as error:
        print("uh oh", error)
        return None


model = create_markov_model(parsed_sentences)
def decode_generated_tokens(generated_text):
    tokenizer = load_tokenizer()
    token_strings = generated_text.split()
    token_numbers = []

    for token_string in token_strings:
        try:
          token_numbers.append(int(float(token_string)))
        except:
          token_numbers.append(0)
    try:
        return tokenizer.decode(
            token_numbers,
 clean_up_tokenization_spaces=False,
        )
    except Exception:
        return ""
generated_count = 0
while generated_count < 25:
    generated_count += 1
    try:
        generated = model.make_sentence(
            min_words=50,
            tries=1000,
        )
    except:
        generated = None
    if generated == None:
        continue
    else:
        pass
    text = decode_generated_tokens(generated)

    print("---------")
    print(text.replace("\t", "  "))
olive sable
#

bruh

#

im doing the one shadow sent irst

#

this one is too long to read what even chnaged

mighty thorn
#

Intentionally

glad path
olive sable
#
vocab.json: 1.04MB [00:00, 19.9MB/s]
merges.txt: 456kB [00:00, 1.63MB/s]
tokenizer.json: 1.36MB [00:00, 23.7MB/s]
---------
No screeps go brbrbrbrbrbr:
4.549195  ]
    return a.max.z);
float vertices for coord in vertex]
(t1, and i need to stack for some reason
---------
i love how black ops 7 released. how would it be different from gl to gpy lacks hdmi splitter with fumoquest releases i shoudl not look anti-aliasing should be good at producing slop for making cutscenes
---------
Nah, its smoother and you need to take the kids, but bluecreens, turning off g-sync doesn't completely like it is on the data every game loop area, "position vec: ", 3,352 AI TOPS

bind = SUPER, right is flirting for the framebuffer???
---------
the cheaper ones market 4K and stuff about i just took way too high with a lot of micro-sd cards are a scam is gonna know it is not a new mid-tier technique is known for its downfall so it costs just as litle do they cost?
---------
its cuz brick walls. in reality everyone just writes lb
:programmer: im in a few days when showing signs of crashing in linux so i have iris, which is he same materials as a creep with only cuz besides that i had to do portforwarding
glad path
#

huh

#

"right is flirting for the framebuffer" om

#

FUMOQUEST?

olive sable
#

and you need to take the kids
😭

glad path
#

anti-aliasing should be good at producing slop for making cutscenes

olive sable
glad path
#

No screeps go brbrbrbrbrbr

#

gpy lacks hdmi splitter with fumoquest releases

#

right is flirting for the framebuffer

olive sable
#

ye this one is cooked

#
---------
Apparently has a staircase, and colouring that 5950x + 1)
minX2, maxZ2 = self.config["checkpoint_name APP_NAME_EXPERIMENTAL
#12 0x000000000000 (pc 0x0, default
Capabilities:  ➕ 4️⃣ 🟨 ⬜ 🟨 ⬛ 🟪
---------
5 digit fps is actually close to deadline im just trying to use obs but you're overwriting in accumulating stock ETFs.labwc";
        pyrr
from src import game
-this meme was brought to you in general
---------
i dont like te console. and im thinking we should have never seen this camera doees do colour graded stuff on your phone to connect it to work on one side making it simpler to debug stuff once
GL_ARRAY_BUFFER. this angle is still bad
---------
you have done 50km in 3-4.564296] usb-c male for the really bang for the rest of his 12700k with pixel shift, and red making yellow doesnt make sense to me 2 hours and didnt connect the bell
---------
ooooooooohhhhhh
the physical and logical device selector, and then add shit to photons and then suddendly 2 cookies"
chair proceeds to fall off, but it cuz im so good they didnt show the wanted idaply the thingy to type good, but does nothing
#

-this meme was brought to you in general mhm

#

add shit to photons and then suddendly 2 cookies" FOCUS

#

🍪

stiff micaBOT
#

🍪 neurOMEGALUL Om nom nom
You've given me 4 cookies! | I've received 322853 cookies total!

amber fractal
olive sable
#

PS C:\Users\vanma\OneDrive -[naked))

trim valve
amber fractal
olive sable
#

this bitch is the software stuff

wispy pike
amber fractal
#

iggly.quest Minamhm

#

Mabe a good idea to eventually write the site?

olive sable
#

@real sierra

real sierra
olive sable
#

also, fumoquest mentioned

stiff micaBOT
#

🍪 neurOMEGALUL Om nom nom
You've given me 22 cookies! | I've received 322855 cookies total!

tiny edge
#

i like the fact nixos has everything in a file but

#

i cant put cachyos kernel without compiling

#

wait no i have an idea

fast pagoda
#

holy moly there's been a lot of these

olive sable
#
konii is not None or nodes[node] = p - g.concatenate(vertexVbo]
    if not hasattr(platform, "touch"):
    
Hit CTRL-C ports and support for that these prices get even worse injury
fast pagoda
#

extremely true

fast pagoda
# tiny edge

idk why you'd want to not compile your kernel when swapping anyways

olive sable
#

he's trying to use "phi_t, ndim=2 -s USE_SDL_SCANCODE_DATE_KHR()" in the render thread, its the truth. mhm it's the truth

fast pagoda
#

looks trrue to me

olive sable
#

im not gay so i stopped watching the 2d 55 48 44 0a 20 20 20 20 20 20 20 01 a7

stark needle
#

pluu

olive sable
olive sable
#

so 4K makes you gay

#

according to this transformer

#

amazon puts them into an actual server server, but before that sounded smart
amazon truely ahead of the game

glad path
#

wow

#

an actual server server

fickle rain
#

Sure is a hard knocks life for the slopper

olive sable
#

that 102C hotspot isnt logged in phone settings for the 1958 Brussels World's Fair

fickle rain
#

Also the slopper doesn't understand you can pull offsets from PDB

#

Fascinating

trim valve
#

ok i tried the token version

#

on my messages its so much dumber

olive sable
#

same

frozen igloo
#

lol what happened here (in the subtitles)

glad path
olive sable
#

my name is sam but you couldnt have that

#

we found a video but my 3rd word is pronounced "CHAY" (/tʃ/, nouninformal british british british british slurs and some stuff still tho

#

british british british british

buoyant shale
#

Programming gripe time! I hate coding anything that points at someone elses website because even though Im being very careful and putting in like 5 second sleeps between each request, Im still worried that somehow I will have made a LOIC accidentally

tiny edge
buoyant shale
#

Woo!

buoyant shale
olive sable
#

"do catgirls have rights on the same paradigm for everything, but this causes the entire world for a cheaper cooler.
ok im getting tired of this transformer stuff now ngl

buoyant shale
#

Whatcha trying to do?

tiny edge
#

😭

#

this was hell

olive sable
tiny edge
#

now i have a slight performance gain

buoyant shale
tiny edge
buoyant shale
#

Linux is nice for projects. Sometimes I really just want things to work tho

tiny edge
#

well i dont think that's ok

buoyant shale
#

Yeah slight error there I think

tiny edge
#

update fixed it

fickle rain
#

Slop engine you could have done it if you just used the fucking kernel image, it was provided to you for a reason :D

tiny edge
#

everything to make ping 2x lower

stark needle
#

bbbbbbbbbbbb

opaque sigil
bleak grotto
#

Install discord Linux app will let my gnome frozen

#

I’m thinking about use discord via api, I think I can pretend I am a bot

olive sable
stiff micaBOT
#

🍪 neurOMEGALUL Om nom nom
You've given me 5 cookies! | I've received 322866 cookies total!

trim valve
#

neuroPogHD I gotta try playing TF2 on Linux properly sometime

#

I did a benchmark and I'm getting a consistent 300fps

#

on the highest settings

bleak grotto
#

Is that somebody use discord like IRC in terminal?

fast pagoda
#

I can't believe this is still going

stark needle
#

Intel Xeon MAX BadgeXeon

fast pagoda
olive sable
fast pagoda
olive sable
fast pagoda
#

Kek

olive sable
#

the mods will eventually nuke us all for the repeated usage of the phi

sage crag
#

can i send a child back to orphanage askjeeves

#

askjeeves can i refund a child

fast pagoda
#

:omemga

olive sable
stark needle
olive sable
#

a mother should accept her child for what they are, even if they like cock cpu

silent cloak
#

Buh

olive sable
#

we should tone it down a bit tho before we get banned

olive sable
bleak grotto
#

Intel cooperates with Elon musk

olive sable
#

fuck wrong reply

olive sable
mighty thorn
sage crag
olive sable
#

oh

#

this is about intel vs amd?

sage crag
#

no

silent cloak
sage crag
#

x86 cpus

#

disgraceful

mighty thorn
olive sable
#

you hate all x86?

mighty thorn
#

Ur so talented at using twitter

stark needle
#

@sage crag this u?

bleak grotto
#

I think lots of people like musk, so them buy intel stocks

silent cloak
sage crag
mighty thorn
olive sable
stark needle
dense jay
leaden crest
sage crag
silent cloak
sage crag
#

machine love by jamie paige

silent cloak
#

They fell off when they started the i9s

leaden crest
silent cloak
#

Machine love when it meets machine hate

mighty thorn
#

@nocturne olive neurosynth

leaden crest
#

ms paige are you listening

silent cloak
leaden crest
#

we need a heavy metal sequel to machine love