#programming

1 messages ยท Page 15 of 1

sullen marsh
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llm online search

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selenium is goat

olive sable
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Goodmorning NeuroWave

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2/10 morning, they opened the shades and destroyed me eyes

unkempt citrus
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I have a foot infection so I can't walk

dense cosmos
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blue nodes = input, purple = output, white = hidden, red connections = negative, green connections = positive

wild wadi
stark needle
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Morning

ruby timber
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Morning!

stable fractal
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whats the difference between doing this and......

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as you can see, in the first one, im using PRIMARY KEY(id)

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and in the second one im adding PRIMARY KEY to the line where im creating the id column

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is there a difference between these two methods?

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ping me on reply, thanks in advance! neuroHypers

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nvm, i got the answer neuroHypers

olive sable
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even on vacation i be improvinng the code

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center = np.mean(frustumcorners, axis= 0)[0:3])
is now
self.player.camera.position + self.player.camera.forwards * (depthlayers[i] + depthlayers[i+1]) * 0.5)

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double the speed

nocturne olive
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Silly

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Meanwhile me training that new model despite being slightly sick

covert garnet
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Meanwhile me advancing my studies for the next course (2 months left)

distant blaze
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it looks like a mathematician wrote this

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looks very barebones but just enough to make a computer function

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its like skirting the line of doing just enough to be turing complete

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that does actually make sense

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would watch but gf is sleeping next to me

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will watch if i remember later tho

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its very fascinating

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its very explicit

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that's actually incredibly impressive

safe path
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mhm very nice

distant blaze
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ooo

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so you're one of the devs behind it

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I can't judge the code quality too much because I'm only starting to learn rust. and its a completely different beast than embedded C

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it seems interesting, it feels like I'm reading something inbetween rust and possibly markdown

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that is interesting

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aww it didn't output into the terminal

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ooh, it says null?

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oh yeah i didnt reaf yhe code xD

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i just looked at the terminal output

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oh xD

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allocating memory like this is interedting

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oh right

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ah okay that makes sense

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I haven't gotten out of bed yet

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so apologies if my brain is a bit uh

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sticky

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and slow

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is the goal to abstract manually allocating memory away?

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are your allocating per variable or per program?

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like ad the end goal

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ahh I see. since you can do whatever you want with raw memory

stark needle
distant blaze
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still, having a consistent way of allocating these things is gonna end up in more reliable and predictable programs

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that's pretty fucking cool

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so you're just iterating over memory

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that works so seamlessly

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its genuinely really impressive

safe path
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glueless the ableos recruitmrnt drive never stops

distant blaze
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yeha I do xD,

I'm gonna be working with my gf on starting our own company, probably a repair company, on top of that, helping her work on her wayland compositor and some other projects too.

Also going to be designing custom electronics to sell to consumers

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so as much as I'd love to I don't have time xD

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I'll give it a follow!

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<3, I'm not relaly sure how to follow it on forgejo though xD

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and thank you <3 I'm mainly a reverse-engineer

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your project is incredibly cool. I'm sure you'll find some passionate people <3

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it IS cool that we're in the same timezone though

tender river
stark needle
stable fractal
#

esl

tender river
stable fractal
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what is that?

distant blaze
tender river
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it reads more "engineering" than "academic" to me

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it just omits descs but nothing about it is surprising

stable fractal
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what is a "holebytes"?

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whats ableos

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oh

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its an opperating system

warped narwhal
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I'm getting an SSL unrecognised name error when trying to clone the hbvm repo, you may need to update the certificate

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the EU site is working, is there a way I can edit the config to point to that instead for the cargo build?

tender river
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pointers are making me cry, they make optimization so much more annoying

a := 5
b := &a
b.* += 5
// now a is 10 despite being assigned once

ok what about this solution - when a is referenced with a pointer it gets converted into a cell so the compiler knows not to optimize it

a := 5
// internal
a := cell(a)
b := &a
b.* += 5

should work right? well what about this

a := 5
i := 0
loop if i == 3 break else {
    // a := cell(a)
    b := &a
    b.* += 5
}
// a is now 20

lets even assume that you can just flow a being a cell out of that loop, you still have to flow it also into the next iteration of the loop and then a is not a cell upon entering it for the first time but a cell upon entering it for the second time

so all you can do is just backtrack and make it so a was a cell all along and i hate that
alternatively unroll that loop into two separate bodies which is weird as well but possibly a better solution

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i'm interested in making a compiler + LSP to gain experience but pointers and comptime make everything hard

sick owl
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Vector just learned to drive over my keyboard cable neuroMonkaOMEGA

stark needle
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My dad bought 4 dgx spark under his companyevilStare

hard shale
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I can't find much about hblang so I will presume its a new programming language, does hblang not have a standard library atm?

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oh, so did you architect the language?

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assumed from your answer

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ok, what about a documentation for hblang? does it not exist yet?

stark needle
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Technical debt evilStare

midnight sigil
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my ISP finally gave me an ipv6 address neuroHypers

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it doesn't really matter since the ipv4 is on public anyways neurOMEGALUL

hard shale
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The syntax looks like a lot like the zig language so that's understandable somewhat. supposing someone would want to contribute, for reference about the syntax and possibly semantics is this a confronting compiler?

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a proper hblang's compiler, following its rules instead of creating extensions of them unmentioned

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OK

olive sable
#

I went to castelo de s. Jorge BlankiERMs
Eating burito now

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Got a lot of inspiration from it

stark needle
#

Man

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What is this job

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100$ for 3b1b level video script on technical topics

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Expert level

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Lmfao

loud thicket
#

You need a PHD and many hours on leetcode

dense cosmos
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I used a goto sweat

atomic sonnet
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trying to port my java baseline dct jpeg decoder to c++ and....

dense cosmos
atomic sonnet
dense cosmos
faint sandal
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this took 75 SECONDS to get past

inner pike
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this one is just confusing cause technically that is not a bycicle but who knows how the fuck it works for captcha

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captcha is absolute bullshit sometimes

scarlet arch
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Yeah I also don't understand them cause I'm totally not a bot belly

trim valve
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I barely get bot checked at my uni

atomic sonnet
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I get capcha every day as I'm in a uni dorm so a lot of ppl use google and its just loooooong sometimes with a lot of retry

trim valve
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anubis hits me a fair bit

trim valve
atomic sonnet
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this and it seems to have gotten worse with time

trim valve
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๐Ÿ˜”

trim valve
atomic sonnet
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I'm... always* in incognito NekoEllaGiggle

noble zodiac
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the amount of free training data generated daily by captcha is insane

stark needle
trim valve
hoary lion
spark kelp
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Yeah

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my acc profile is even better

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since it removes the spaces

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It looks different for a lot of devices

trim valve
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I really wanted to make a plugin that lets you rename people client side

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keep putting it off due to lazy though

stark needle
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uohhh this is based

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also who tf removed windows fax and scan

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that app was goated

opaque sigil
stark needle
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so expensive

trim valve
stark needle
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by a shitty app

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"Windows Scan"

trim valve
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like is there nothing at C:\WINDOWS\system32\WFS.exe

trim valve
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I would offer you mine but that sounds sketchy af

stark needle
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i am trying to sign up for scholarship

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and bruh

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they ask for everything

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shit i doubt my parents would ever give me

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full tax papers of my mum and my dad and his wife

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all documents from when they separated

scarlet arch
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No. Rule 15:

Don't use an invisible name.

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hate pulling an "erm actually" lol

dense cosmos
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128 inputs x 129 outputs per network in my visualizer

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kek

scarlet arch
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probably wanna use alpha to signal how close to 0 the values are

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surely that should help

dense cosmos
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also, made it bigger

scarlet arch
#

interesting artefacts

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very cool

stark needle
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Watch as Tong He, a research scientist at Google DeepMind, introduces the new Gemini 2.5 Pro Deep Think, an enhanced reasoning mode that uses parallel thinking techniques.

See how Deep Think uses its reasoning capabilities to tackle a challenging coding problem from the competitive coding platform โ€˜Codeforcesโ€™.

Learn more at https://blog.g...

โ–ถ Play video
trim valve
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๐Ÿ˜ญ that audio sucks

scarlet arch
# dense cosmos i am <:neurOMEGALUL:1097297318119743638>

maybe make it uh.. not linear? like.. idk how to explain cause I can't remember the function I'm thinking of. but like.. from -0.5 to 0.5 its basically invisible or only slightly, and then it ramps up a tiny bit, and then on the last 10% to -1 or 1 it actually goes full alpha

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should give a better indicator about strong connections

stark needle
atomic sonnet
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tested a colored image and another error to try to fix cerbyCozy (apparently I read too much bytes ?)

scarlet arch
dense cosmos
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I was thinking of doing a sparse intialization too

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because there's like 16k connections there

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and that's a lot to optimize

scarlet arch
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is this your neuroevolution result?

dense cosmos
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(for evolution)

scarlet arch
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when I did neuroevolution my networks started out with just the input and output neurons. not even connections between them lol

dense cosmos
dense cosmos
scarlet arch
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ah well. yeah. that'd do it

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back then I designed it in a way that I simply feed it input values and then take the output, regardless of whether anything is connected or not

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initial networks mutated fast that way. speciation was also off the charts due to so many initial variations

atomic sonnet
trim valve
atomic sonnet
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aparently the error is reading an huffman table cerbyLUL
I assume a 65459bytes huffman table is not ideal for image compression evilDeadge

nocturne olive
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This thing is just sitting here, computing

dense cosmos
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even bigger!

dense cosmos
#
Avg Fitness: 0.0840659
Max Fitness: 5
Min Fitness: 0
Species Count: 5
Species:
[
        Species no:     :0
        Size            :182
        Avg fitness     :2.67033
        Max fitness     :11
        Min fitness     :0
]
[
        Species no:     :1
        Size            :7
        Avg fitness     :2.14286
        Max fitness     :8
        Min fitness     :0
]
[
        Species no:     :2
        Size            :1
        Avg fitness     :5
        Max fitness     :5
        Min fitness     :5
]
[
        Species no:     :3
        Size            :8
        Avg fitness     :4
        Max fitness     :10
        Min fitness     :0
]
[
        Species no:     :4
        Size            :1
        Avg fitness     :3
        Max fitness     :3
        Min fitness     :3
]
[
        Species no:     :5
        Size            :1
        Avg fitness     :0
        Max fitness     :0
        Min fitness     :0
]
'Evaluation':       19929328700 ns (19929.3 ms)
'Culling Game':       6029500 ns (6.0295 ms)
'New Generation':       842239300 ns (842.239 ms)
'Generation':       20779765100 ns (20779.8 ms)
#

20s per generation

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for 200 individuals

stark needle
stark needle
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i mean right

nocturne olive
stark needle
#

wait so can u look through both or does one just show the back

nocturne olive
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The side that's visible in the image only shows a couple cables, the back metal panels, and my 8TB SSD

stark needle
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i see i see

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fair enough

nocturne olive
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The other more hidden side gives vision directly to the main internals, having the GPU, CPU cooler, RAM and motherboard visible

stark needle
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fair enough yea im just used to seeing pc cases where on the right side it's just metal since you cant see anything anyways

nocturne olive
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I guess it's symmetric externally

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If just I had a better GPU in there

atomic sonnet
#

now I can decode big (5120x4920), subsampled, colored, baseline dct jpeg 1.1 images cerbyYAY

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my java code is still faster by 30% somehow. need to profile cerbyLUL

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seems like wsl slowed down my code. with window build I'm ~12% faster than javaneuroYay

nocturne olive
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Silly

prime ridge
dense cosmos
prime ridge
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even still ๐Ÿ’€

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it still takes over 1000 ns to do 1+1 bruh

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I assume ur using python

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when ur using python there is 0 use for nanoseconds cuz we a lil slow

atomic sonnet
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he is using c++

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and cuda

trim valve
prime ridge
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C++ if ofc different

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I thought he was using python

trim valve
#

o

prime ridge
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nothing in python runs on the nanosecond scale

opaque sigil
atomic sonnet
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maybe ? good idea to test

opaque sigil
#

if you do then don't, the filesystem bridge between windows and wsl is painfully slow and will hurt performance if you read anything

rigid snow
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WSL FS SUCKS sooooo bad

trim valve
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if you stay within wsl its fine

opaque sigil
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you can just have your project inside wsl and it's a non-issue

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it'll be faster than the windows fs too

atomic sonnet
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am just lazy ngl cerbyLUL
window is temporary anyway

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and my java benchmark was running in window too so apple to apple comparaison

opaque sigil
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i guess that's true

rigid snow
opaque sigil
#

that's still weird that it'd be slower inside wsl menherathonk

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i think wsl1 had some performance issues with the filesystem?

atomic sonnet
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I do kinda heavy file opperations and probably is most of my time so no wonder if there is a slow down
I use WSL 2

trim valve
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my only wsl2 experience has been super fast fs

opaque sigil
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but in exchange it was faster when touching the windows fs

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wsl2 is the other way around

trim valve
rigid snow
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idk man i must be mixing up something then

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or was it just the windows mount

opaque sigil
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that would explain it if you access that yes

trim valve
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almost certainly just the windows mount

rigid snow
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i remember now, i tried transferring a dataset from host to wsl

atomic sonnet
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testing on wsl no window mount rn cerbyCozy

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a bit faster than window cerbyYAY (by 20ms over 530 ms, ~3%)

opaque sigil
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i just tested how long it takes to install dependencies for one of my js projects in windows vs wsl, 8.5s vs 0.75s neuroDeadge

rigid snow
atomic sonnet
#

oh I should test something like that for my project with verrry long first dependency run

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that has specifically issue with window making it slower cerbyLUL

opaque sigil
#

yeah ntfs is horrible at this

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when lots of small files are involved in anything

atomic sonnet
#

yeah evilDeadge

atomic sonnet
trim valve
#

o if this is paper they actively suggest not doing dev work on the windows fs iirc

atomic sonnet
#

yep ik

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and I do it on an hdd in window so its pain

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I think something like 15m with -parallel ?

opaque sigil
atomic sonnet
#

its ok its only once cerbyLUL

opaque sigil
#

i wonder how their ReFS performs menherathonk

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have yet to try it out

atomic sonnet
#

oh, what ReFS vedalNeuroHUH

opaque sigil
#

their "new" filesystem that replaced NTFS for windows servers and is also used for their new "dev drive" thingy iirc

atomic sonnet
#

oh so that microsoft New Technology for File System neuroTomfoolery

maiden geyser
atomic sonnet
#

ima go full linux anyway anytime soon so no need for it NekoEllaCopium

tender river
#

anubis checks everyone with Mozilla user agent (so literally every browser or everyone who pretends to be a browser)

dry charm
#

@rare bridge Is the Bingo opensource? ||so I can use it for Alex's stream as well xdx ||

rare bridge
#

yes it is open source

dry charm
#

oooh thank you!

#

for some reason it wasn't listed in your GH profile

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or im just very blind

tawny wren
#

Well this is the type of request it's trying to make.

paper nova
#

not to familiar with all this and what its saying but very interesting

tawny wren
#

I honestly think it's impossible.

paper nova
tawny wren
#

Seems like it.

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I'm sure I can get it to redirect, but I may never know what the intention of the mezzping is.

paper nova
#

do you think its licensee or validation check?

tawny wren
#

License check? Hmm...

paper nova
#

cause if you calling to pull data and it is running the Pragma: no-cache it has to also validate each time right

tawny wren
#

You might be right.

paper nova
#

pretty sure doesn't store validations if im reading that right

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the way i read that your requesting data with the get the logs are crazy high but its still grabbing the data. its just doing validation checks for each source

tawny wren
#

I'm starting to think that I need to use Wireshark to see the outgoing traffic, and a debugger on the client itself to see what it's expecting.

stark needle
#

i love trying to use a dead repo for some llm that was implemented in 2022

#

i basically have to rewrite everything myself again

tawny wren
#

They very thoughtfully labeled what each DLL plugin does.

maiden geyser
hoary lion
#

don't we love abandoned repos that have few hundred stars

maiden geyser
#

especially if the author vanished in 2021

opaque sigil
tender river
#

using tensorflow 1.0 or something

stable fractal
#

what?

hoary lion
#

tensorflow 1 do exists

olive sable
#

Good evening

#

Im eating ramen

stark needle
#

the author is NOWHERE to be seen

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in this repo

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theres instructions on how to run a script

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but the script is not present in the repo

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so uhh

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???

hoary lion
#

get juked by .sh

opaque sigil
#

generated script maybe?

stark needle
#

@ruby timber explain

hoary lion
#

unexpected juker

trim valve
#

๐Ÿ’” just realised my university's WoL setup might not be working instead of my own config being the issue

ruby timber
vestal prism
#

yo sup i have question for the functional andys over here

#

im finally free from my javascript shackles

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but now i need to learn a lisp language

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what of all the 3-ish do you recomend

noble zodiac
#

racket

maiden geyser
#

my gpu starts whistling when i'm running ai

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it's over

paper nova
#

lol i am running a 1080ti i cant even try

vestal prism
#

back in the day the 1080 was the best, it was so good that they made him a titan version

#

๐Ÿ‘ด

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(it was like 6 years ago lmao)

maiden geyser
paper nova
#

ive been playing with it and runniing into driver (cuda) issues. And deff needd to learn more about torch cause thats been giving me issues

hoary lion
#

you don't actually

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learning torch doesn't necessarily helps

paper nova
#

im kinda weird and will lock into learning about stuff to better understand it

hoary lion
#

blame nvidia

maiden geyser
#

how dare you blame my favourite multibillionaire corpo

hoary lion
#

am a google stan so

tawny wren
#

I'm really getting desperate now.

maiden geyser
faint sandal
#

what are you even doing

#

I scrolled up and still don't know wtf you're trying to do

trim valve
#

I was gonna ask

#

but assumed it was standard neurocord shenanegans

faint sandal
#

you want to check what data it's sending???

tawny wren
#

I wanna know what it expects to receive.

livid relic
faint sandal
#

follow the call stack and xref in ida

#

I hope you're not doing this all with just disassembled code

tawny wren
#

What other option do I have?

faint sandal
#

use in conjunction with something that gives you a better disassembly navigation

#

preferably something that can xref and spit out the relevant pseudocode

#

I.e., ida, ghidra, binja, etc

noble zodiac
#

what is this even about

maiden geyser
faint sandal
#

ok I'm gonna hit the bedge

runic pulsar
#

I did it letโ€™s go.

maiden geyser
noble zodiac
hoary lion
#

use temp 0 :p

stark needle
#

๐Ÿ˜ญ

hoary lion
#

any day now google deepmind

#

3n audio when

stark needle
hoary lion
fast pagoda
#

so i purchased a month of claude turbo subrscription

#

because i hate money

#

the $100 one not $200

#

anyways i was in claude code farting around having a grand old time and at one point i decided to see was a pull request review would look like from the cli since it had that in the options

#

and claude spent literally like 30-45 minutes desperately trying to get that environment to let it pull it

#

and i was kinda watching amused and putting in random attempts to help it authenticate

#

well i checked the model after like an hour of this

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that was opus

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the whole time

#

opus 4

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(which is not charged to me because of the sub)

#

so i just bankrupted anthropic sorry y'all

#

it wont even tell me how many millions of dolllars it was >:(

hoary lion
#

nah

#

what actually happens is that

#

they like increase usage and decrease based on their current situation

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so uhh you just used many usage lmao

#

probably wasted all your daily code

fast pagoda
#

i've just been leaving it on auto

hoary lion
#

they might have set it on batch too

#

anthropic absolutely SUCKS on reliable usage for subscription users

fast pagoda
#

i've actually only gotten rate limited once so far and i've been sitting here with code rolling all day each day honestly kinda trying to see what the usage limit is for this

#

a lot of it has just been chatting BS though

#

not actually coding with ... claude code

hoary lion
#

hmm

#

idk

#

but i don't like how they work in general

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like instead of fixed 'n chats' per hour

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they give 20 times more than free tier

#

like what neurOMEGALUL

fast pagoda
#

when i had the $20 tier i definitely got rate limited so fast every conversation

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which is why i dropped that sub

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but then 4 came out and i was like eh fk it and got max

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cuz ive been meaning to try claude code anyways

#

without bankrupting myself in api

hoary lion
#

making your money worth fr

fast pagoda
#

i dunno where they're getting that the $100 is only 5x the $20 usage

#

i mean it's 5x the cost

#

but it feels like wayyyyy better rating

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and ive been leaving it on auto and checking what model it's using and it's opus way more than i expected

#

usually if it starts absolutely blathering and pontificating i'm like oh look it's opus

olive sable
#

Goodnight

fast pagoda
#

gn sam

#

maybe the rate limits weren't actually THAT low it's just it was ALWAYS a "high traffic time" but now i dont feel that or something

stark needle
#

Hyperrrrrrr

#

I hate pytorch

#

no

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i reject pytorch

#

I'm so sorry

#

:(

fast pagoda
#

i spent a solid 2-3 hours yesterday telling gordon the docker AI just how much i despise docker

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while i as having issues with a bunch of containers

opaque sigil
#

[insert nix propaganda]

fast pagoda
#

honestly if nix makes docker unnecessary in its entirety then it's much more appealing than just about any other option

#

i hate docker

opaque sigil
#

for development i guess kind of but it's not like that's the only use case for docker neuro7

fast pagoda
#

im sure it's great for someone somewhere

#

it's never been anything but pure suffering for me

opaque sigil
#

i feel cheated, this just runs the image via docker

fast pagoda
#

i just hate the docker daemon, i hate dockerfiles, i hate docker compose beyond words, docker desktop sucks ass, docker cli is barely better because it's still docker related and you have to touch that garbage with clean hands, the way volumes/containers/images are separated is barely intuitive for me (that's on me i just have always hated it and been annoyed at which is which)

but really more than anything i hate that people just yeet stuff into docker containers and decide that means that their package needs absolutely 0 documentation and it'll just work no matter what

#

yeah i thought it was some sweet translation thing the first time i saw it too

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i just like it because i dont have touch the docker engine myself

hoary lion
#

you don't really have other better options than pytorch tho

#

do you want to use cupy then? catSUS

opaque sigil
#

clearly the solution is

fast pagoda
#

it's time to make keras the king

opaque sigil
#

reminds me actually, wonder how the tinygrad torch backend is doing hmm

fast pagoda
#

they appear to be vibing

opaque sigil
#

cause being able to use their amd stack via pytorch could be kinda nice Hmm

fast pagoda
#

anything that allows anyone to use something that isn't an nvidia product is based in my book

opaque sigil
uneven pulsar
#

I DID BIG BRAIN THINGY (unless it doesn't work)

stark needle
#

be able to run llm at 3x speed

#

maybe idk

uneven pulsar
#

Silly LLMs don't use the context window as well as mature LLMs

So I'll use a mature LLM for the context window and logical crap then the silly LLM actually responds

#

50/50 it works and 0% chance it is a good idea

fast pagoda
#

so it's speculative decoding but shittty

#

sounds like a great idea to me as a certified slop producer

stark needle
opaque sigil
#

same

uneven pulsar
#

I've only got 114 days to get this thingy production ready, and so far I haven't got enough done :3

opaque sigil
stark needle
#

i took it away from you

#

give me 64 Nvidia B200

#

before

uneven pulsar
stark needle
#

then use amd

uneven pulsar
#

ROCm is working good for me

stark needle
#

nah tbh the best thing after nvidia is google tpus cause they actually have software support

#

it's not as good as nvidia software support but ye

uneven pulsar
#

Google tpu sounds expensive

stark needle
#

it is cloud based

#

but for large scale ml training it can be worth it

#

for single person no

uneven pulsar
velvet crestBOT
#

You have unlocked new role

stark needle
#

where the budgets are +1M

uneven pulsar
#

Wait why doesn't google sell them?

fast pagoda
stark needle
fast pagoda
#

they don't need to sell them

#

they made them for a reason and it was to use them

stark needle
#

setting up a similar cluster would cost +100M dollars or something i assume from scratch

fast pagoda
#

they also made them to upset shadow by saying 200% efficiency all the time or whatever

stark needle
#

and then electricity, networking, etc

stark needle
#

when shit is compiled to XLA it's very hard to get poor util

fast pagoda
#

400% fusion energy achieved

uneven pulsar
#

So instead of a fancy efficient TPU I gotta use a RX 7600 XT I can't afford

stark needle
opaque sigil
#

dw the tpu would be way more expensive if they sold it

fast pagoda
#

tpus dont even display images do they

#

why would they

opaque sigil
#

neither do datacenter gpus

fast pagoda
#

yeah

opaque sigil
#

the h100 and later are basically just tensor cores neuro7

stark needle
#

1 brain = 1 million h100 evilStare

#

i will harvest all human brains

uneven pulsar
stark needle
opaque sigil
#

idk about cheap

#

but they can eat the cost upfront

stark needle
opaque sigil
#

R&D costs though

fast pagoda
#

googol has a googol dollars anyways

opaque sigil
#

who makes the TPUs anyway, tsmc?

stark needle
#

no one knows

#

private info

opaque sigil
#

fair enough

fast pagoda
#

they be designed by google in california

#

demis hand crafts each one with love

cloud relic
fast pagoda
#

whjy would you bring such an unrealistic thing in to this highly grounded conversation

#

3??

#

next you'll tell me they can run crysis

stark needle
#

atleast its not too bad

tender river
#

you dont need it just use a tablet

stark needle
#

i swear i would be so cooked without 128gb ram

fast pagoda
#

having 64 has been actually crippling for the last few months

#

i really don't want to buy more before upgrading though

stark needle
#

its been looking like this for me

fast pagoda
#

it's every day bro

opaque sigil
#

i hope they have some sticks for sale for prime day or sth for cheap so i can get to 128

fast pagoda
#

i am fixated on 192 because of fking t

tender river
#

hi t

fast pagoda
stark needle
#

192 would be insane

#

but the rise in cost is also insane for me

fast pagoda
#

i'm either getting 48gb sticks or 64 come upgrade

stark needle
#

i can not afford that

fast pagoda
#

it depends on the cost difference when i do

#

but it will be at minimum 48 per stick

#

also depends on how hard i get rekt by the gpu

paper nova
#

i def need to upgrade my setup

fast pagoda
#

nvidia STILL havent send me my damn RTX insider super deluxe VIP "invitation to buy a 5090" thing

#

it's been like 4 months bruh

#

and i simply will not pay $3500

#

not to burn my house down

#

i'

#

will do that at msrp

#

ish

opaque sigil
#

i've been pretty happy with my 5070 ti for the most part neuroHypers

#

well, the constant driver crashes during profiling aside

paper nova
#

views on amd and intel now adays? im currently using a 1150 board with I7 k series

fast pagoda
#

i curse my attitude towards purchasing things every day

fast pagoda
paper nova
#

from what i understand AMD really been killng it

fast pagoda
#

ironically enough the 48gb intel card coming out soon got me like ๐Ÿ‘๏ธ

#

despite everything

opaque sigil
#

keep in mind it's 2 separate cards

fast pagoda
#

yea but 2 24gbs

opaque sigil
#

Mhm

fast pagoda
#

both of those are 2x the 10gb i have now

#

more even

#

i just pray they're available

#

(they wont be)

opaque sigil
#

iirc they said they should be sold on their own early 2026?

fast pagoda
#

well shit it's damn near early 2026 rn

#

with how time's going

amber fractal
fast pagoda
#

yeah if they're in any sort of reasonable universe for price

#

i really am having a hard time justifying why i'd skip them

#

but that's the caveat i suppose

cloud relic
opaque sigil
#

supposedly "less than a grand"

fast pagoda
#

yeah if they truly do end up less than $1000 i dunno if i'd even hesitate

#

guess it depends on what else is around by then

#

or coming

#

and if jensen has come by to make me pay the troll toll

opaque sigil
#

5080 super neuroHypers

#

24gb for a mere $1600

fast pagoda
#

i hate what we've become

gaunt charm
#

Hey can someone tell me whats the etiquette on discussing/speculating on Neuros inner workings?
Vedal leaked the length of the context window in the recent stream and I am just wondering if there are any threads collecting those kinda statements or if that is off limits.

fast pagoda
#

we speculate on it like schizos all the time

#

i'd say unless you live in his walls and start giving out actual source details it's fine

#

cuz otherwise we dunno

gaunt charm
#

Just wondering because he is dropping a lot of details

cloud relic
fast pagoda
#

from today

gaunt charm
#

I mean he himself said his major achievement is merely getting the response super fast

#

I reckon nere runs async

#

and random chatter messages flooding her context is prolly not super healthy

#

but he told filian the exact number of seconds for the visual? context window

fast pagoda
#

ive been schizoing about how i think she has a bunch of different context windows that get swapped in and out depending on what she's doing to maintain some coherence without getting overwhelmed for a long long time now

gaunt charm
#

I think its just sorting stuff from various sources with normal algos and appending to the prompt

fast pagoda
#

we've known/been told/hinted at the rough length of her short term "memory" aka immediate context for a long time as well

#

but yeah my thing forever has been if she's activity swapping between like chatting/playing a game/talking to stream guests whatever, she's getting her context yoinked out and replaced with maybe a hint of what's going on but not front and center, to make her still know what's going on in the other contexts if needed to seem continuous but the thing she must reply to RIGHT NOW is the relevant context for that situation so she doesn't have the drift you'd expect with how many things she's juggling

#

and of course ranking/reranking things even within the same activity

gaunt charm
#

evil broke a lot during the MC stream

fast pagoda
#

seems she also does that herself

gaunt charm
#

directly put the reply/prompt to the mc bot into chat and probably vice versa

fast pagoda
#

yeah this issue is probably why she doesn't often show "new in progress" developments until they're ready

#

probably out here leakin'

#

if that's not nailed down

gaunt charm
#

Also had a telling moment during standup stream where neuro put what seems suspiciously like the control prompt into a story

#

throwback to the first days of gpt 3

fast pagoda
#

she will also just make up dumbass stuff that sounds like it might be a system prompt for fun though

gaunt charm
#

"always obey vedal" def seems something the big man put in and why she can't stop bringing him up every 2 seconds

#

even without context

fast pagoda
#

rules 1 and 2

gaunt charm
#

Not to imply its malicious

#

it clearly doesn't work even if its in there

fast pagoda
#

of course not you have to wrangle these systems or they will just go berserk

#

especially a le funny tuned one

gaunt charm
#

But neuro always bringing up turtles is definitively what is puzzling me the most

fast pagoda
#

it's in her memory a lot because vaduhl is a turtl

#

comes up easy

gaunt charm
#

is that just the vedal emotes in chat, her long term memory or actually always in the context because prompt

#

because it happens even when she streams with other ppl on any topic

fast pagoda
#

that long term memory has got to be one of the most cursed collections of schizo material known to humankind

gaunt charm
#

I mean, at this point we don't know how much is the memory and training data

fast pagoda
#

all i know is maintaining anything resembling consistency with how many iterations and models she's been through is very impressive

gaunt charm
#

is it though if the prompt is the same and you got the model + voice + quirks inentionally put in?

#

Like randomly jacking up the temperature to get her to tell stories/tangents

fast pagoda
#

to me it's quite impressive yes, without too many obvious personality changes where the data must've changed more than usual

#

or the model itself

#

i mean you train 2 different models of the same size on the same data and they'll be totally different even with everything else the same

gaunt charm
#

Nah its an inverse square kind of thing.
Where the most common phrases stay the same and its only when you drift into the ""valleys"" i.e. stuff that isn't well covered that deviations appear

#

But you'd need to train and compare several llms with the same prompt/temperature/architecture to really proof that.

#

Besides, Vedal heavily hinted at Neuro and Evil being the same and people insist they are RADICALLY different

fast pagoda
#

the memory is probably the main thing keeping it consistent
going from qwen2.5 3b to gemma 3b with the same data same training is very very different result for me
im not training the entire model though so that complicates it
i dont think neuro is full fine tuning or if she is now she hasn't always been because of resources

#

ive always considered them to be roughly the same or a very similar base model with some sort of lora + obviously their separate memories + different prompt

stark needle
fast pagoda
#

right they're different models entirely but that's what i mean

#

neuro has been like 5+ different models, although vedal does know what he's doing i doubt they;ve all been the same architecture given when he started

stark needle
#

just use the base model

#

And have 1 proper rlhf

gaunt charm
#

And we have to consider that whatever you run as hobby probably is closer to RNG than a full sized model

#

like any of the 32gb llama things I've seen were really bad

#

and neuro has come FAR

stark needle
#

Yall are underestimating how good a 1-3b model can be

fast pagoda
#

certainly but also i'm running on the assumption that neuro was at least in some form in that state as well for a good amount of time before it was a whole operation

#

although there is the ;susge: "we" in all of vadhuls early neuro pitches

#

so who knows maybe it's just demis' pet project secret mode

#

that's why we can't see the architecture of gemma3

#

because it's all neuro

stark needle
#

bruh

fast pagoda
#

ive cracked it

gaunt charm
#

even though it seems weird sometimes

fast pagoda
#

yeah i mean there's also his own reasoning of "wanted to sound official"

#

and early neuro was a lot dumber than i usually remember her being

#

now she's gpt4.5 with a stupid lora on and that's why vedal can't afford greggs

gaunt charm
#

I mean even aside from becoming more coherent sfx+discord bot upgrade definitively was a quantum leap

fast pagoda
#

yeah it makes sense it was around the whole "agentic" trend anyways

#

which is still ongoign

#

but she's def out here agenting

#

tools out the wazoo, maintain long context and coherent goals over a whole stream with literal garbage being shoveled at her all the time

gaunt charm
#

The pc/setup roast streams worked out before

#

but you could tell it was pretty formulaic

#

now she can just ignore the slideshow and stuff

#

and go into therapy mode XD

fast pagoda
#

she seems to also be able to pivot pretty well without requiring a whole specific setup for various situations

gaunt charm
#

sadly a higher level thinking unit won't happen because of lag

fast pagoda
#

part of why that one pirate stream went bad because she decided it wasn't pirate time anymore and it apparently had been just left up to her to maintain it, and he was hoping she would, but she didn't

while the ones before were asome sort of style adapter

#

hey gemini2.5pro can do this kinda speed she might be huge and fast we never know

#

one day

gaunt charm
#

Well yes but gemini still only runs one stage

fast pagoda
#

and also still 6s to first token

gaunt charm
#

you can either do the higher level thinking with conventional scripts that run in <1s or you bit the bullet and go full auto gpt

#

where you have an iteration just doing stream of consciousness that then gets processed

fast pagoda
#

neuro was actually the first matformer

gaunt charm
#

?

fast pagoda
#

like russian nesting dolls, they get trained with nested blocks of various sizes at each layer so they have a maximum possible size but they don't actually always use all their weights depending on what they're processing at inference time

#

like an autoMoE without a router

gaunt charm
#

ah

#

Did not know that

#

See, I need that thread/board XD

#

So far only really messed around with image gen

fast pagoda
#

i heard about it vaguely but folks were talking about it here like yesterday

#

i think shadow linked me the arxiv lol

#

that's how i started being interested in it too lol it's been a long journey at this point
the last 2 years feel like 10 years

gaunt charm
#

TBF that is all of vtubing at this point

fast pagoda
#

youve started caring about non-image gen just in time for diffusion llms to maybe actually be something

gaunt charm
#

Ehhh so far it feels like the industry stalled a lot

#

I don't think they can really resolve the issue of speciality topics

fast pagoda
#

that's why gpt4.5 crashed out

#

\diffusion being applied to text gen freaks me out somehow lol

#

it's a lot harder to "identify" with the model when it's not autoregressin

#

even tho either way it's not thinking

#

it just logically feels weirder

paper nova
gaunt charm
#

I think you have the issue that the industry really doesn't know which use case they can get good enough at to be a real thing

#

but yeah, speciality topics/context and higher order thinking/understanding physical processes

paper nova
#

what call the caveman method, throw and hit it until it works

gaunt charm
#

I am doubtfull you can resolve for everything in one step

fast pagoda
#

the conventional thought was that overparameterized models were a bad thing

paper nova
#

not enough time has passed to actually see thats why

gaunt charm
#

I think people don't understand the brain works exactly like a LLM

#

randomly connected nerves

#

with random weights

#

its just we can't run however many billion neurons on a gpu

paper nova
#

everything takes time to develop, with out it you just dont know

fast pagoda
#

back in the day if you told someone you'd have a 1T+ language model they'd think you were a total idiot headed for the world's most overfit model

#

didnt help there wasnt compute to actually test it anyways

#

lOcAl MiNiMa

paper nova
#

i grew up wth 4 in floppy so ya sht crazy now

opaque sigil
#

you can have the smartest model, if it takes 1T+ params you're still an idiot

opaque sigil
#

speaking of which

#

what happened to meta's behemoth or are they just "delaying" it

fast pagoda
#

it's something like under 10% of the params in any of the large models are actually important

#

theyre actually just dummy thicc because that's how much of a net you have to cast

fast pagoda
#

to hit the training objective

#

well it's a law of large numbers thing

#

otherwise liek you said earlier you get stuck

#

you have to give it soooo many params so it actually goes past that minima

gaunt charm
#

you can very succesfully cut them down after

fast pagoda
#

but not 100% successfully

paper nova
gaunt charm
#

the bigger issue is the half full glass of wine thing

fast pagoda
#

QAT and stuff are big

fast pagoda
#

they call me john human

paper nova
fast pagoda
#

it's ok you didn't know

fast pagoda
paper nova
#

just sayng normal human uses how much of there brain

gaunt charm
#

and thats not even taking a human brain and ripping all the unnecessary stuff out

paper nova
#

there are some pretty cool neuro science discoveries out there

gaunt charm
#

the issue is mainly that any improvent in cognition is logarithmic

#

but targets have an abrupt cutoff

fast pagoda
#

we really dont know what the cutoff is or where emergent capabilities appear

#

until it happens

gaunt charm
#

well, we know a GPU can't do it

paper nova
#

i also could fight the other side of this because errors are what define and help us grow and learn

fast pagoda
#

currently seems like the consensus is it's not worth trying above like 1-2T

opaque sigil
#

i'm just here for the hardware innovations, if LLMs is what it takes then so be it ReallyInnocent

fast pagoda
#

but that's also compute limited again

gaunt charm
fast pagoda
#

who knows what happens if you cram 40T in tehre assuming you can source the data

#

they could start flying for all we know

gaunt charm
#

good one

#

but counterpoint

#

there are no emergent properties

paper nova
#

well they are training process shouldnt make same mistake twice

gaunt charm
#

we just like social animals that can vocalize and are seflish enough to recognize themselves in the mirror

fast pagoda
#

in 15 years if we're still alive we'll all be like damn those idiots didn't know how to train a model

gaunt charm
#

The basic structure of the training process is mathematically perfect

#

its always goals

fast pagoda
#

the data is the problem and also the objective

#

ye

#

i wish ol' euler could see us now

fast pagoda
#

and also see his name slapped on samplers still in use

hard shale
fast pagoda
gaunt charm
#

do we though?

fast pagoda
#

transformers were out by then but it was still before gpt3 said fk what you know about scaling

gaunt charm
#

Like, yeah gpt 4.5 is pretty good

paper nova
#

i had too fight to get programing classes, they now teach them as a standard

gaunt charm
#

idk it feels like its all skewed by the first "product" launch

#

which if you go before Iphone you are 30 years back

#

but after Iphone we got marginal improvements

fast pagoda
#

it's just whenever someone gets the recipe in a good enough state the general public notices and adopts stuff

gaunt charm
#

Yes

#

But we are like still chasing raytracing

#

not to mention fusion

warped narwhal
#

I still remember using talk to transformer with gpt2 to write my exam for my English class (I hated that class so I didn't care)

#

That was 4 years ago now

fast pagoda
#

yeah i remember laughing at subreddit simulator

warped narwhal
#

Or the florida man newspaper generator

gaunt charm
#

Eyyyyyyyyyy somoeone already finished a Filian vs Neuro captcha compilation

fast pagoda
#

lotta those were like markov chains

#

and i still thought that the subsimulator lil markov toys were freaky good

#

hell thispersondoesnotexist was around in 2019

#

and that was based on older GANs

opaque sigil
#

thank god GANs are a thing of the past

fast pagoda
#

o7 BigGAN pour one out

#

there's been a fair bit of murmur of mamba + GANs being very good at very specific domains

#

recently

#

and gans be going FAST

#

theyre still arguably better at faces than SOTA diffusion models

#

convnets or at least layers are being used in a bunch of ways to try and kill attention again

#

neuro is actually ELIZA from the 60s but they forgot her in a basement the last 70 years

#

what's old is new again

gaunt charm
#

you can do it with extensions but its not the same if it isn't done natively

fast pagoda
#

things will have gotten out of hand when they start stripping people of their skin and using that as the real skeleton starting point

#

how good is good enough

#

i certainly don't know

gaunt charm
#

I mean img 2 img already works the same way

#

you just need to figure out how to properly fill in

fast pagoda
#

starting from a predetermined base and refining is always easier i mean even knowledge distillation is really just that
take the more powerful larger model and noisily train the smaller learner model beyond where you'd normally realistically be able to

gaunt charm
#

I think its more like moving from pixels to gaussian blurs

#

because right now you want the models to very sharply paint in where the attention says the keyword goes

#

but ideally it has a diffuse space that restricts it

#

and can rotate and everything

fast pagoda
#

there have been so many reworks of exactly what the attention mechanism is targeting or even doing since attention is all you need

#

we already have rotary embeddings & RoPE /yarn type things that cause the attention to become positionally aware way more

gaunt charm
#

the issue is that you can't get a flat definition across the entire range of tokens

#

or disentangle stuff

fast pagoda
#

the fuzziness is never going away

#

that's where generalization pops out of really

#

it can be exact and deterministic or generalizable but noisy

#

i dont see that reconciling any time soon

gaunt charm
#

yeah but hence why I say you should populate using skeletons first. Kinda the first step towards building in physics, general enough for most objects and really good at what people care about

#

otherwise you end up with being in a half filled glas as an intrinsic property of wine

fast pagoda
#

nature starts way before the skelly and it's still noisy as all hell

#

the reason for evolution by all accounts seems to be the inherent noise present in reality motivating random change

and lots and lots of cancer

gaunt charm
#

I mean its not a reason as much as an emergent process

#

clones are still decently succesfull

fast pagoda
#

if you can somehow get down to like planck length and perfectly calculate, anticipate and control the laws of reality there then you're finally where you need to maybe control most randomness

#

and then the fuzzy logic in my rice cooker will no longer function

gaunt charm
#

I mean we can't perfectly describe chaotic systems yet

amber fractal
gaunt charm
#

but the butterfly effect was pretty much disproven

#

but to get back at what I meant initially

fast pagoda
#

how's your programmatic neurons coming along @amber fractal

amber fractal
fast pagoda
#

yeah i stopped seeing pushes on the gh so i was like D:

#

it'

#

best to let things rest to come back with a new perspective though

amber fractal
#

That is my default method of iterating, which is why I bounce between a lot of things.

fast pagoda
#

you got it to a respectable pause point though

#

i kinda hate getting there because then i'm in the "well it's good enough atm that it's not urgent so i'll wait"

gaunt charm
# gaunt charm but to get back at what I meant initially

the ""skeleton""/pose for a "horizon" could pretty much be a line.
While geometric shapes are the most defined. You can then use an llm to link higher order concepts with lower order ones.

80% of what people care about will be humans or animals and skeletons solve those entirely.
Solving how strict that original pose distributes attention around itself is a bit more tricky for less defined objects, or how much you can deform the skeleton with the original prompt.

fast pagoda
#

that's why i've adopted the "get it to a broken disaster 20% of the way and then abandon but feel massive pressure to fix it anyways"

amber fractal
dense cosmos
fast pagoda
#

cuz it's not like you can perfect 1 and then generalize perfectly

#

the opposite really

dense cosmos
fast pagoda
#

now you're just dummy overfit on that single thing

spark basin
#

Hello, everyone

fast pagoda
#

iggly can explain it way better than me and i already misspoke a bit calling them programmatic in the first place kinda

#

but yeah our boy is basically cooking agi

#

or am i

dense cosmos
#

me too :D

#

Or trying to

fast pagoda
#

im trying to build the perfect idiot myself

dense cosmos
#

I'm working on a SNN model

fast pagoda
#

it's quite hard

#

spiking?

amber fractal
dense cosmos
#

Something interesting about SNN is that there's a temporal aspect to the network

dense cosmos
fast pagoda
#

yeah lmao so i kinda just default to the "well they do their thing"

dense cosmos
fast pagoda
#

temporal info in modeling breaks my brain more than even positional embeddings

amber fractal
dense cosmos
gaunt charm
dense cosmos
#

Trying to see if this path is worth pursuing in the first place

#

Have to figure out I/0

fast pagoda
#

i mean even just audio transformers being able to model the time dependencies of music as reliably as they can makes me go ???

#

transformers don't understand time like at all,. they aren't sequential

#

and it's quadratically harder the longer you're talking for them too

dense cosmos
#

Hmm... I think I also want to try hyperNeat, because I don't see how else to handle making repeated structures

#

The reason I chose SNNs was because of sparsity

#

Sparse through time, sparse through space

fast pagoda
#

wheelz would love you

dense cosmos
#

Sparsity through time means energy efficiency and better compute

amber fractal
fast pagoda
#

that feller LOVES SNNs

dense cosmos
#

Sparsity through space would be memory savings

fast pagoda
#

i think the ideal models are all sparse in the end

dense cosmos
#

Basically so I can run a good network on my 4gb of vram

fast pagoda
#

we're not even dense models

dense cosmos
#

True

fast pagoda
#

just a bunch of sparse representations in a trench coat

dense cosmos
#

My network also allows arbitrary connections

#

Like self connections, and backward connections

fast pagoda
#

neurons hit up that lost connections classified

amber fractal
amber fractal
#

I never got to reading that paper, another chatter mentioned it was similar.

fast pagoda
#

there's a very well known case of a positronic AI

dense cosmos
fast pagoda
#

his name was data

#

well he had his brother lore

dense cosmos
#

However, I am using evolution

#

And evolution doesn't care about backwards connections

fast pagoda
#

backprop doesnt exist

#

we made it up

dense cosmos
#

I don't think I can do backprop on SNNs anyways

fast pagoda
#

nah

#

you can't do it on linear

#

sequential systems

#

that's why we can't do it lol

#

you'd have to stop your own brain processing shit to update your weights

#

how do you do that

dense cosmos
#

Maybe BPTT using approximate gradients?

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I'd rather pursue the line of local learning rules

dense cosmos
#

Afaik we do actually rewire our brain when we sleep

fast pagoda
#

dead time maybe

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ive always considered it more like a car wash

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but yeah get bumped around ya know

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i generalize shit to the extreme i really gotta stop doing it

amber fractal
dense cosmos
#

Which is a bonus

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But also I think local learning is also better for neuromorphic hardware

fast pagoda
#

neuromorphic stuff is just finally coming into its own

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like recently

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it's c omin

dense cosmos
#

Oh?

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I haven't looked too much into myself

fast pagoda
#

well, i saw a bunch of crap about it first half of this year

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which means it's probably 43 years away really

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but everyone was sure it was ready finally

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it seems to be somewhere the labs are pointing resources at because we're probably climbing up the start of a wall in the scaling again

amber fractal
fast pagoda
#

nature is beautiful

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iggly's neurons done evolved already

amber fractal
#

My things come in two halves, match and emit

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I was using an update function and masking which parts needed updating.

fast pagoda
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me too

amber fractal
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The match mask is only all true if the input was different than the last time it was trained.

fast pagoda
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every good intelligent system needs some good ol' noise tossed in

amber fractal
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Noise my beloved

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Use it often in art, not much in programming

dense cosmos
#

Alright, time to get up and seize the day

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Carpe diem!

amber fractal
fast pagoda
#

what does that mean
why i dont know

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ive unironically been up >48 hrs rn so i may actually get in bed

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shortly

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i am more noise than man now

amber fractal
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Go sleep

dense cosmos
#

Sleep!

dense cosmos
fast pagoda
#

i will but only because i'm getting slightly nervous i might actually just die randomly if i attempt to stay up again

dense cosmos
#

Unless u were talking about cerpe fish

fast pagoda
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lol

dense cosmos
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XD

fast pagoda
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sometimes i just say things and even i'm like

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????

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ok god dammit i'll get in bed

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i swear if i somehow wake up at like 11 pm

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i'm gonna be mad

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my hands are all like

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sore

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that's odd right

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i think i'm dying

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feels like i have arthritis

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might have something to do with typing for like

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48 hours

frigid matrix
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Warm water soak for hands

hoary lion
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fuck useful programming

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im going all in for ml

lament igloo
#

exam includes connecting sql to java
cant fucking remember Class.forName("com.mysql.cj.jdbc.Driver")

help me

prime ridge
#

@amber fractal Can I get a quick recap of what u did?

dense cosmos
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I'm thinking of remaking my NEAT system with a hierarchical approach

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The idea is to find reusable subnets that when composed can solve lots of problems (preferably efficiently)

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So layer 0 is just raw neural network

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Layer 1 is made of layer 0 networks

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And so on

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So I try and keep a database of useful submets

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Anyways gtg

prime ridge
#

subnets won't be able to solve problems

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they just build an internal representation

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unless ur planning on building an model ensemble which would be extremely inefficient

random igloo
maiden geyser
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is it stupid

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igglya is typing...

amber fractal
stark needle
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godgd mrgonining

amber fractal
#

Yes I have been actually typing this entire time

amber fractal
maiden geyser
stark needle
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banned

maiden geyser
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