#programming
1 messages ยท Page 334 of 1
is it your second machine
if so you can use same flake as first one

you can do both at the same time 
true โผ๏ธ
if have ssh access it super easy to deploy remotely too
https://nixos.asia/en/configuration-as-flake but you dont need me to send you this probably
they're both on a tailnet so yeah
I saw you post that earlier
its like the first actual guide that didn't miss the important stuff

๐ญ

nixos-rebuild takes --target-host argument (like --target-host root@1.2.3.4)
is there a good guide on managing multiple devices
thats it really
well you have to add #<hostname> after flake path
like this nixos-rebuild switch --build-host root@10.0.0.2 --target-host root@10.0.0.2 --flake ~/code/nix/dotfiles2#server
i have my own nixos-rebuild because official one didnt work very well 
https://github.com/chayleaf/dotfiles/blob/master/nixos-rebuild.py

there's a few different tools with different philosophies on how to handle deployments, Nixops being the "official" tool, but they all end up effectively running the command leaf just posted in one way or another 
not needed if you have just a few hosts
its basically just my laptop and my pc
I might eventually add a server to the mix but that will probably be a different thing anyways
you can share code between different hosts / NixOS configurations however you want since they're in one flake, it's completely independent of how you deploy it
I have a set of NixOS modules that I import in multiple configurations
its very short
build on host i want -> copy from build host to target host -> deploy on target host (which depends on which action i passed, some dont deploy at all, some run particular commands on target host after copying the derivation output from build to target)

exponential
my only gripe with this is the flow of using my laptop kinda doesn't fit it
my pc lives as being on most of the time
my laptop is more of a "on when I need it and not much else"
can at least check that the config builds
true
maybe I just need to ssh -c "nixos-rebuild switch --target-host laptop" pc
and pray I have fast internet
either that or just sync the flake files and build locally
ye git
true i guess
most of nix updates is just evaluate new config + download the files
reason i suggest building on target host is
dont have to download and then transfer
can just download
yee fair
10 year of ssd lifespan
good thing ssd cheap 
in 2026
spoiler
can use --use-substitutes to help with this
but ye just build locally, way simpler
can always use PC as remote builder if needed but that seems annoying to set up
I actually already tried it
Im glad wear isnt a concern on my 1.92Tb ssds... the endurance is 1 DWPD for 5 Years (3.5PB)
main issue was
I wasn't using flakes for my config
so it wasn't doing anything with flakes


because I think it only does it for flakes or something?
not sure
ig I also just don't do enough stuff where I don't have anything that actually gets built
flakes do make managing multiple configs in one codebase easier because no channels
otherwise they shouldnt really have anything special
i think 

syncing channels between hosts seems bad
command looks different
you can just use ifd and no channels 
spspsps
these darn linux users
and their "I wanna do stuff properly"
lemme just copy the windows version 1:1
its near useless because of linux shenanigans
- doesn't work if not signed in, because it runs as a user service instead of a system service or something
- can't wake up the screens, and if the screens aren't on then it can't share screens
second problem will be solved when I move to virtual displays (kinda)
but the first one is seemingly a linux + wayland moment
also for whatever reason the hardware encoding looks terrible on linux but not windows
๐ค Figure out what? I've used it through SSH to an embedded device and it just worked, albeit slowly.
it has issues running on nixos hosts
Hmm, must be expecting different paths I guess

chat I am suddenly questioning my choice of laptop
surely this cpu has hardware accel in the igpu
bnuuuy

my gut feelings tell me you're missing some angy proprietary driver somewhere that goes "there it is."
probably
actually nixos question
not for mee
how does multi host hardware-configuration work
o
ye your route to CDN broken 
each host use its own 
ye mee too
do those go into version control
yes
flake wont pick up anything not in git repo anyway
ooh wait
or folder
I see in your repo
system/hardware
have hardware specific config
system/devices
have device specific config
system/hosts
have device/hardware agnostic config

anyway just make something that seems simple to you
I have a nixos-modules/ directory with individual files containing anything shared and individual hosts/<hostname>/ directories for the host configs (+ some metadata)
doesn't distinguish between devices or hardware or whatever other shared config other than being named differently
but ye just pick something simple and expand from there 
got my 3D printer finally all working
can it print dirt
Well because I love overly complex systems, I am now using 5 total models for my ai (Main instruct, reasoning, whisper, embedding and 8b enhanced embedding)
Wait, while probably unnecessary, Is there any reason for Zen to pass (Zen VTT?) -> Zen text ->Zen TTS-> Neuro VTT -> zen text -> Neuro input, Couldnt they just do (Zen VTT?) -> Zen text -> Neuro input?
its in (?) because idk if they are just using text into TTS or voice
Hello there, i'm learning abt front and back development, anyone got pages to learn javascript, node.js and any sql databases like postgre ?ยฟ
IMO the best way to learn is to pick a simple project and learn how to make it using the thing you want to learn
and off topic anyone knows a good keyboard ? with the > sign ? i'm a spanish speaker and i'm struggling with those sign in javascript bc my keyboard doesn't have it lol
in most english layout keyboards, the . key is the same as the > key
yeah sorry abt that

yeah but as i said i'm a spanish speaker and english and spanish layouts are way different
ideally something that motivates you
if you really don't care then just make a TODO list app or something, it's a classic
a todo list is just a regular list with a todo header
i can't get used to english layout so the simple solution is to get a keyboard that has those signs
i also read that but i'm struggling in learning the basics
right alt + . or , <>
if u have the euro layout with you language's specific memecharacters then right alt has all the gimmick symbols
i dont know of any keyboards with extra physical keys for > specifically
ye use alt gr sound about right 
can also just learn english layout its not that hard me know 4 layouts
i can't type in slavshit on english kb ๐ญ
hi konii
hi t
hi leafchay
hi t
i need all the ลฏ and others
hi t
hi konii
hi konii
hi t
hi konii
true?????????
for me to use that i have to win + space to change the language of my windows ๐ญ

ohh its japanese
ใๆ
"paw" 
yee there some keyboards with the <> signs right to left shift
i had one of those but i changed to a mechanical keyboard and it doesn't have those key signs
peposadge
is it still jolly out there or it ends on 26th
christmas ends at new year
i'll keep using this gif though
mainly because it annoys people 
ye i was about to send but was busy finishing curry 
i typed out
you could say that i said it faster than you could finish curry
and then i realised it made no sense as a joke
me sense of humour
autismu
you could indeed say that 
i think its supposed to be a play on
"if X, Y faster than you can say Z"
but
i failed the concept of the joke
its probably funny in some language
so im fine 
o right forgot about those 
me laptop have that key 
why they call it laptop when top on desk in on the not the lap
I enjoy laptop on lap
you have no lap


why doesnt discord allow us to customise spacing on emojis
ALERT would be so much better
and
neuroNom could be generic
neuroNom<M>
template<emoji E> emoji neuroNom
coming in 2026
for
nitro users
on boosted server


ohh what me ranking
i rank 41

since we're doing #cooking
i ownder how hard it would be to make mellowcakes form scratch
maybe move around the window a bit
idk why but ive had strange stuff on dgpu
letting it rebuild the swapchain might help
na not help
not even with resizing the window?
nope 

hey prog chat would you cash in on a new pc now while ram is expensive (but there's still supply) or would you wait for those prices to seep into gpu etc as well ๐
depends on how badly you need a pc rn
most stuff you should jsut get 2ndhand and hunt ofr deals
i have an okay laptop (ryzen 7 4800, rtx 3060, 32gb ddr4)
but i've been wanting to get a PC around last summer, just had to postpone because of irl shit happening
i really don't feel like waiting another 2 years only for the flat overall price to rise to 4x <current> then fall back to 1.75x <current>
but i also don't feel like i can just yank $3k at new stuff
honestly i'm mostly just curious about your predictions
haven't checked used market yet
target is some AAA gaming at 1440 and some dicking around with training not too big stuff (backend dev with medium determination to catch up with the mostly sailed AI hype boat)
also i really just wanna get away from mobile hardware i've spent too much % of my life on it
get a 2ndhand 3090, an older cpu that supports ddr4, and some cheap-ish but still 2 sticks ddr4 ram
even if prices are high you would still want dual channel ram
also i'm somewhat averse to trading used goods because i generally dislike potentially having to nag people selling faulty stuff etc
used 3090s are just generally the best deal
from what i can find in my area 3080ti are same price as 3090
only 3080 non ti is cheaper
by like a full 200 bucks
3080 - 300euro
3080ti and 3090 - 500euro
so is 40-50 series little added value overall? 
architectural changes and such
i assume new fancy features are mostly geared towards gaming and aren't that useful for training
faster inference with 8 bit and 4 bit quantization respectively
4bit is lossy anyways
the newer cards are also way faster for training, at least comparing the 3090 and the 4090
presumably the lower tier cards are about the same
but also way more expensive
im not up-to-date on ai training cards
30xx also starts getting deprecated in some snakeoils
there's also the fact that a used 3090 might have been running for 3-5 years now
unless you can find a good deal you're often getting better value with 3090s
yeah maybe if you wanted something purely for model inference where response speed is a concern, 4090 or 5090 would be worth
for training though? 3090
ye exactly
something like 1.5x - 2x the performance but also double the price
except you still get the same amount of VRAM
you won't be training in 8bit precision probably
buying into 30xx now is insane
5090 4090 is probably out the budget window tbh
not really
no
Nah inference 3090 is within 10% of 4090
probably floating around an 5070ti - 4080 - 3090 line
obviously the 3090 wins with the vram, but there's the nasty used surprise, architectural changes, etc factors
depends on quantization, no?
inference isn't everything
No it's all bandwidth
Inference is bandwidth-bottlenecked, not compute
is there a better relatively cheap card with good VRAM per dollar yet?
its all about pricing.
sure 4090 is better, but the 5090 is beterer.
if the 3090 is a way better deal tho then get a 3090
i see
I'd buy more 3090s, VRAM + NVLink is good
(from NVIDIA, AMD and Intel have decent offerings but they're not exactly comparable)
ye
you are buying a retro vehicle before a bubble burst that will launch server grade cards onto used market
3090 is plenty relevant
not for long
I got one recently and it's been so amazing for NeuroSynth
you gotta be trolling
And what's gonna magically replace it?
30XX already has deprecations >right now< and it's only get worse
and what ewxaclty is deprecating it?
since you'll get all the H100s
Nah H100s aren't gonna become affordable
or even lesser cards
when will that happen though? can you reliably plan around it?
the A series i think
A100? Not gonna become that affordable either
AI is gonna collapse due to vibecoding and inbred models
those need a custom motherboard solution, no?
cloud will die
there are PCIe version
i am almost 98% certain many of the datacenter cards can run pcie
to keep with your analogy of cars. you're basicly saying "why buy a used chevy for a great price when this porsche might maybe potentially get a sale in 7 years"
SXM?
i think there are multiple
HBM is VRAM yeah
not really, just PCIe and SXM for NVIDIA cards AFAIK
AMD and Intel use OAM
But do you really think A100, even the 40GB version, will magically become the price of a 3090?
amd and intel do not matter
indeed 
Sure if that happened I would buy it, I'd like the VRAM, but that's just not gonna happen
A small price drop won't affect me much
small
so you're basicly saying the 3090 is irrelevant because more expensive cards exist?
False, the A100 has similar compute as 3090, just with more VRAM
2008 will look like a joke
you're missing the point tho
all that said, i'm still just buying a PC for home that i'd be using for gaming too, not some server on the side purely for training
might look out for a good 3090 if it comes along but otherwise eh, probably should stick to new enough
i'm just worried that any used 4090s out there have been melted to bits by overuse too xD
no i am not
the point is still you will be able to get overall better price to performance ratio
3090 will only be relevant for people who already own them
but buying them now?
nah
2008 is quite litteraly 18 years ago. ofcourse those gpus arent on par with current gpus.
but the 3090 is 5 years old, and still doing great
the best price/performance ratio i know of in this space
I would get an A100 if it dropped to a reasonable price, but if it's not gonna drop by a massive amount and stay in the thousands I'd much rather have a modded 48GB 4090
l'd rather splurge on the 5070TiS
thats L take
More compute and VRAM compared to the A100 40GB and 3090
wakarimasen lol
Ew so few VRAM
also the ability to load better models
Useless card
like 3090 these days?
"load better models" less vram loads worse models
Yeah
there's 50gig models left and right
3090 is still super relevant
3090 will continue to stay relevant
and if you run goofs of big models thats all 70+
24GB can load 30B param models easily
3090- 500 euro - 24gb vram
5070ti - 900 euro - 16 gb vram
i could get nearly 2 3090s for that price and have triple the vram
Two of them can load 70B param models
small issue
this is historically true all the time
cards only really get cheaper in the long term, but you gotta buy at some point 
who cares if it's cheaper in the far future, I can't buy at those future prices right now
gpu prices right now aren't super high, no reason to hold out
the bubble will pop and cards will get cheaper, but nobody really knows when exactly that will happen
so can't plan around it 
that's the source of the dilemma btw - i expect prices to stop dropping or even raise thanks to the ram shortage
which is why it's a should i buy now situation
if the 3090 cant fit it the 5070ti DEF cant fit it. nevermind that 3090 has nvlink and the 5070ti doesnt
the ram memes are temporaray
Yeah I'd take the 3090s any day
Basically right now the only thing I'd take over a 3090 is a 48GB 4090D
china will 100% reroute capacity to steal teh market
yeah, obviously it'll get cheaper again eventually
the question is when
The 3090 is and will stay relevant as long as there's no better 24GB+ good compute card on the market
And in a similar price range too
The 3090 is such good price-VRAM-compute balance
the high ram prices are 100% here till at least 2027 and im willing to bet 50 bucks on it
asus might be planning on producing ram now, but that production def wont be anytime soon
I don't think there's a good answer to this, so might as well just purchase the current best options as required instead of waiting for something that may only happen in 5-10 years
They also arenโt producing new DRAM (the thing we need more of)
24GB of VRAM with speeds almost as good as the 4090, compute equivalent to an A100 or 4070 super, and prices as low as 500โฌ, you're not gonna replace that with a couple thousand euro enterprise cards
i saw some headlines saying that was a hoax
Not to forget that a 3090 can render, unlike an A100
Well, as in render games
They are just also now purchasing said DRAM to further spread them thinner and mark them up for more money
you can have one card for inference and for gaems
and with every card running on 70% powerlimit it won't even be such a killer
Sure, but the best option for that inference card will be a 3090 for the average person
the only way the 3090 will lose relevance is when the 4090 becomes a better deal compared to the 3090. which wont happen for a while since its still more than double and it would need to drop to 1.5x the price of the 3090
(never)
the average person should secure as much as iron aspossible
Also chat 
in 7 years at most it should
The average person doesn't have 4K to spend on an A100 even if it was to drop in price
My budget is highly limited and thus the 3090 is basically the only option
big heatsink
iron?
why iron?
is this another conspiracy?
iron means hardware
Yeah like the 4090 is only really better for training and gaming
iron is like, the most abundant metal on the whole entire planet
It doesn't have more VRAM and the VRAM is barely even faster
give up on computers
trade iron instead

train iron
become a blacksmith who hand crafts trained AI
by hammering iron
until the weights are nice and balanced
For me, it's either get more 3090s, or if I magically find money, 4090D with 48GB mod
Well you aren't developing an ML vocal synth
By the way if you magically find a really insane deal for 4090D 48GB somehow let me know because I'd like one of those
48gb model will never reach the belgian used market
Unfortunate
Guess if I want one it's 2400โฌ or something from China not including shipping and stuff
I don't have that kinda money though soo 3090s it will be for now
the fp8 and fp4 don't even work lol
its just fp16, its faster because its a scaled block that gets rescaled back during computation just to be more bandwidth efficient
scales with bandwidth and depending on your configuration for batch, compute aswell mostly
ye, bandwidth is about the same but you have way more compute 
only so much though
false, A100 has similar compute as 4090 (tensor)
Oh? Then where did I hear the 3090 equivalence from?
damn so it's just bullshit marketing then
A100 can render, just barely can output because lack of rops
thanks nshittia
Scamvidia
nah they do work
bandwidth and cache efficiency matter quite a lot 
always have been. actual fp8 fp4 inference is so losey i just considered them obsolete
quantization works better
but even Q4 is still computed with fp16 afaik
but indeed not native fp4 or fp8 computation AFAIK
pretty sure that tensor core accumulators are (mostly) fp32 anyway
yeah which is why i said quantization and scaled blocks
I usually am using exl3 for runtime
idk if it counts as advertising so i wont link it. but i saw a video if rin penrose playing a programming game and it was painful
"
no you need to use double = for if statements"
And then apparently on RVC there's even a noticeable difference in quality when using FP32
needs to be python syntax btw
This is according to Wispers who was accidentally using FP32 and couldn't figure out why his models always sounded better than ones from CJ
I mean Ive been working with a groop testing some things that has found even keeping lm head as f16/bf16 vs f8 is a major change in quality
depends in some edge cases
Like I said, There are situations for both Generally though bf16 is better
I actually wonder how BF16 vs FP16 vs FP32 goes in RVC, because currently FP32 is apparently noticeably better than FP16
That would make sense because 9 bits of precision is pretty terrible for audio.
She does programming?
Insane lore drop
British moment
looked a bit at what model sizes i could train on what card, and oh boy
i'm starting to think i should just give up on the more relevant ones, play around with training a smaller one to get the idea, maybe use bigger ones for inference at most, and otherwise wait out
idk if i'd be producing real, pays-off kind of value anyway, smh
Yeah it takes insane hardware to train any kind of usable LLM
Vocal synths and such are way easier
plus if i get idk a 5070ti and similar, i have a nice dev PC for 6-8 years
if in that time i ever feel the bottleneck from profit, i can just bump it up because it's for profit
yeah, people train instrumental and vocal removal models with 8gb cards... those are easy
but can't say the same for all things...
It depends Quanting and training require pretty high training requirements beyond 12B
Ok, what the heck is going on with my Raspberry Pi? I donโt code by the way so apologies if I donโt understand something simple going on
Iโm getting a line it keeps freezing on saying โEnd Kernel Panic - Not syncing: VFS: Unable to mount root fs on unknown block (179,7)โ

Can't say much as I don't know much on the pis but good luck 
May need to check in a few hours as a lot of chatters are sleeping
Do that, some form of drive corruption did happen
how the hell is a rasp pi $100 now
Just copy my strat
Finetune gemma3-270m on your data locally
Then, if it shows promise, either train LoRA for a bigger model or scale up with cloud compute
why is there a koniifer on my screen
come back




anyone who knows go, can you help?
warning: `neuro-desktop` (bin "neuro-desktop") generated 3 warnings (run `cargo fix --bin "neuro-desktop"` to apply 1 suggestion)
Finished `release` profile [optimized] target(s) in 1.90s
Running `target\release\neuro-desktop.exe`
Neuro Desktop Application Starting...
Calling Go function...
Name: World
error: process didn't exit successfully: `target\release\neuro-desktop.exe` (exit code: 0xc000013a, STATUS_CONTROL_C_EXIT)
I'm stuck on why rust wouldn't call the go function, rn I'm just trying to find a way to get this to work before I implement the actual logic


rust go interop
cursed
yee
why use both
exactly
why it cursed
use case was that, the neuro integration code is in go. Rust just bundles it all into a standalone file, and python provides the actions that the integration uses
but
i assume you followed https://amirmalik.net/2023/02/15/embedding-go-in-rust ?
A simple example of adding a Go library to a Rust program, and then using the bindgen FFI to call Go functions from Rust.
yes
go weird language why function to convert cstring to native called C.GoString
bad name

not a solution to your problem but
A crate implementing the Neuro-sama game API.
just felt like self advertising 
I tried that

Rust was too complicated for me. So I just decided, let's use Go.
and make rust the parent
lmao?

why use rust in the first place then
using crate too complicated so let me do interop instead
rust too complicated lets do more complicated
yuh make sense

yeyeye
for some math algrothims, for the mouse control abstraction that neuro desktop will provide


can do in go 
neuro just says what she wants to do, another AI (custom built one) will figure out the mouse movement and keyboard controls
another reason was... I just wanted to use multiple languages, for absolutely no reason, other than making neuro-desktop a multi-language project

cause I was bored while thinking of the new project structure, when I started refractoring neuro desktop
well, would anyone know what is wrong?
rust was hanging so I ctrl+c it
idk why its doing that

using multiple languages NEVER a good idea btw. interop just sucks period
first time hearing that, didnt know interop sucked
oh! new idea! why not just call them as binaries instead of linking! :D

wdyt?

like if your api is 3 functions it's fine
anything more than that and suddenly you have 5k loc of type marshalling
and other abstractions
protobuf
grpc
microservices
apache cassandra
cloud native 
protobuf
I'll try this again, I guess. Any example implementation for it?
use docs
cause I don't wanna go thru the doc, to find the full example impl
hi mintcandy
t
hi konii
hi t
hi t
hi konii

wait not again
ty
still read docs though
there isnt that much stuff
i have rust+dart+java codebase


is it an android app
flutter not only android

java only android 
famously doesnt run on
any other device



you can keep the kernel minimal by
making a jvm cpu 
builtin gc
not my problem

dumb cpu vendor
not use concurrent gc

wasnt there a
dentge
gcc java
As of GCC 7, the GCC Java frontend and associated libjava runtime library have been removed from GCC

Gone and forgotten 
GCJ compiles Java source code to Java virtual machine (JVM) bytecode or to machine code for a number of CPU architectures

What's that other jvm called again
graal
Yeah that

that other jvm
juice vm

I will
||guess everything, and try it until it works||

:D




slop eee
it constantly finds new ways to be weird
not have statistics
just gut feeling from what i read
theres less cute stuff and more fucked up dynamics
me always chatgpt 


new technology please be patient 
cheese sommelier
other thing me notice is almost all manhwa in general fall into one of two categories
man or hwa
fried egg with cheese taste like milk 
shounen (edgy game mechanics where you become super rich/influential due to luck)
shoujo (otome game mechanics, sometimes edgy, where you become some prince's wife)
like genuinely almost all manhwa falls into one of those 
there are some good works in both categories, but otome game ones are more readable on average because the edginess of shounen manhwa is just unbearable sometimes
the less dramatic korean yuri tends to be about OLs 
[rpogram,ign

i'm an awful typist

i tried learning touch typing for two month every day
0 progress i still come back to my cursed way



konii
me around 100wpm not remember

i mean awful
second long time 

friend requests by people with no mutual servers and friends

why so many where are you coming from
secret


how lamp
think quack got it

long dog

ant eater dog
slop
crow
anteater nose twice as long as borzoi apparently
I HATE FRUTIGER AERO
me eat sour meringue with sweet honey cupcake taste great
have any of you guys worked on a relay pc before
do you mean relay computer
i kinda wanna redo my old project a bit better
yes
sounds cool
my initial design had a braindead design flaw which ended my motivation immediately
i had done it all on one PCB so it became obscenely large in design
have Google Pixel 10
it might as well not have a GPU

wanted to know if anybody had experience with card edge connectors and their holding power
assuming this is a technology channel and not just a it channel
๐
me reveal answer after poll end 
its neither
there is a correct answer??>?
ye
ah okay
i wanted something akin to PCIE connectors but wasn't quite sure how much weight they can hold down so didn't pick them (yet)
the design i had in mind was a one that had each section of the pc on its own little PCB that I then connected into the main board
it would make the design larger but whatever
making it actually modular is something i can think about in version 3
Well I don't have a support bracket for my 5090 Ventus which is... heavy
gonna look that weight up
1.9 kg 4.1 lbs
it'd be 8 bit with the instruction set of:
- ADD/SUB
- NAND
- NOR
- XOR
- NOT
- MOVE
- JUMP
so as to keep it simple
Actually I've been wondering about this too recently, just thinking about how much a GPU PCIE connector could take. I guess one could look up the mechanical moduli of FR-4, and then you could use that to determine how much max bending force (given a max allowed bending moment) it can handle for your geometry
It's a block of radiator almost the size of my forearm lol
true that. I had initially considered laying it flat or making a little support extension onto the design of each PCB that blocks rotation pulling outwards
Of course it is screwed to the case at the back, dunno if you were thinking of a free-standing connector
sideways bending like you'd see in a gpu was more worrying to me so i had considered putting the connector vertical instead
when the whole thing is laying flat on the ground, it should be able to handle sideways movements fairly easily
it's only really when standing it up that i have to think about it

That's light
My 4090 is 2.4kg
๐ 4 slots?
Yeah
4090s were massively overbuilt expecting 5090 power draw.
And even the 5090 doesn't need that.
Yeah
I also undervolt it, idk why I got such a big one
I mean, I do like low noise.. but it's undervolted, soooo
It's also apparently jammed into the PCIe slot
So that'll be fun to remove whenever I need to
i know PCIe slots are not meant to deliver power but wow i did not expect it to be so hard to find parts with documented current ratings
Is it not 6A@12V?
anyone else seen this? https://github.com/Tencent-Hunyuan/HY-Motion-1.0
no kidding lol
So I ended up using Go again, and using IPC to communicate with Rust
:D
rnswer
3
3
1
borzoi
574892434396545027
anteater

look like answer self explanatory
everyone answer correctly
man all the 3d models are so tiny
trellis is also very small
3d models 
that might not be enough depending on the size of the circuits i go with
or i'll have to go with relays that arent as loud
the relays i had in mind take 12V@~100mA
i could also just connect multiple pins together

i wanted bigger relays for their satisfying clicking noise, granted they are also more expensive and take more current
you make dubstep

ye
no itr's just
i turned on on eof my song
to listen back
on speaker
you send that in 30s
you're actually scaring me 
yeah no
fuck tythis
will be yours soon
what















becuz maybe 3080Ti better deal 4 value





