#programming

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fast pagoda
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Basically pip if it weren't dogshit

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Aka slow

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Project/package manager drop in replacement for both pip and stuff like poetry etc

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uv pip install -r requirements.txt uv venv will create a python venv etc, way faster than pip because it resolves deps in parallel and caches aggressively
uv venv is again faster and it can auto-fetch python versions if needed
uv init sets up a project with a pyproject.toml, uv add/uv remove manage deps, and uv lock generates a lockfile (uv.lock) , uv sync installs from the lockfile
uv python install 3.12 etc, so it also replaces pyenv
uvx (or uv tool run) is basically pipx, lets you run cli tools without permanently installing them

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God that sucked to type on phone

opaque sigil
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tldr: it's pip but better in every way

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or i guess, how they liked to advertise it (idk if they still do)

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as a cargo for python FOCUS

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my favourite use case is uv run combined with pep 723 for self-contained python scripts with dependencies

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makes life so much easier

kind nimbus
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It's great

opaque sigil
kind nimbus
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There is also uv2nix

opaque sigil
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i think i tried that once and quickly gave up and decided to just keep python projects managed by uv

sick owl
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Honestly you could probably attribute that to early build issues

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Same as the dual 5090 thing

quick condor
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So I get that the consensus has been that evil's special tokens leaking into responses is generally seen as a haha funny meta joke but its never really sat right with me and recently the <|fim_suffix|> one was more of a red flag than <|endofresponse|> was... That's a Llama fill in the middle code completion token and shouldn't be showing up as a most probable next token under regular chat conditions. It reads more like fine tune control over the special token boundary is slipping then this is intentional

sick owl
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The rest of the comment I agree with, but I figured that was worth correcting

quick condor
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Ehh anything in that template looks a bit Llama to me since I've been working with mistral special token training so fair point.

Better to correct partially

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It's [MIDDLE] for mistral

fast pagoda
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13k context is the requirement for vibe-fixing a venv because you cant afford to accidentally pull torch (nvidia) , apparently

fast pagoda
# quick condor Ehh anything in that template looks a bit Llama to me since I've been working w...

many models use llama tokens, qwen3 for example, granite4.0 also uses it

it shouldn't show up i agree unless he's sending code completion prompts through a chat interface which would be goofy and idk why he would

or more likely, just badly sanitized output and that token popped up in the training set randomly, which is very likely, and since it's evilfor chaos reasons she might be running a temp closer to the edge of reasonable thus more likely to sample weird tokens out of the possible field, all it would take is a couple code completion raw token outputs to end up in the fine tuning corpus somewhere which is pretty ez to see happening

it wouldn't get caught if skip_special_tokens is on, even, unless it's a token marked as special for her model, which it may not be given that she's likely not a coding model... or if it is marked special, vedal aint using it, but i doubt that given he likely does not want to leak any actual giveaway tokens

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to me that actually means that token appearing is more than likely a sign of what she ISNT more than what she IS

quick condor
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The fact that a code completion token suddenly showing up conversationally when she is drawing Html art doesn't scream "this must be a diversion. IMO the "Vedal is smart enough to be intentionally leaking invalid tokens" doesn't track. Anyone with experience with token sanitization, wouldn't intentionally muddy the boundary between normal and special tokens.

The only safe way to do this is if your normal special tokens have a meaningfully different format. The only model that really comes to mind is mistral which would make such a redirect more telling not less

fast pagoda
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i didnt say anywhere its intentional, i said it'd be possible due to the standard flap for removing them would not remove it because it theoretically should never output it

quick condor
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The key issue is that, theoretically it should never output it. There is a reason that special tokens live in an isolated space, things get messy when you start muddying the waters

fast pagoda
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non code models typically would not bother to filter that token as it should not surface in a chat context

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yes obviously

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that's why it'd be more likely than anything that it's just some tokens that accidentally popped up in the training somewhere

quick condor
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That's partially why I see it as an issue, contrary to how it might seem I do think Vedal is competent enough to know that something like this would cause more headaches than it's worth. The fact that it has gone from psudo special tokens to real special tokens is a bit of a concern

fast pagoda
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if it were a concern i'm sure he would know how to stop it since it's trivial

which just means it's harmless, since the token isn't special to her or her harness, she never normally emits it so it might as well say <|FART_LOUDLY|> for how "special" it is in this context

quick condor
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I would be more likely to agree with that as it relates to <|endofcomposing|> but a clean <|fim_suffix|> (common fill in the middle special token) when writing html code is more likely to be boundary erosion than gibberish. It's only mildly harmless in that it doesn't do anything but there is a fine line between chaotic and gibberish and the way it's occurring is too structured to be either

fast pagoda
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i think you are reading way too far into it

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boundary erosion isnt really saying anything. The token showing up during HTML generation is actually the most expected context for it to surface if it's in the training data at all.

it's already output adjacent to code, angle brackets everywhere, the model is already in a mode where it's producing syntax similar to a code completion. It's not surprising that a code completion token would have higher probability in that distribution than in like, a normal conversational turn. that's just how conditional probability works

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it should be that it has no semantic meaning to Neuro's model or inference stack, since she's not a FIM model, she isnt doing code completion, so the token is just a string of characters that happened to be in training data and occasionally gets sampled. The fact that it looks meaningful to us because we know what FIM is doesn't make it meaningful to the model

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iif Vedal cared he'd just add a regex strip or a banned token list and it'd be gone in five minutes. The fact that it shows up at all after the first time probably just means it's rare enough and incosequential enough to not be worth the effort to patch

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you dont even have to filter the text itself which would complicate things like her TTS likely depending on where it shows up in the pipeline, it would be about 5 lines to add a giant negative penalty on the raw logits of that token's ID and essentially clamp the probability to near 0

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transformers (HF) itself has this built in through bad_words_ids and allso the suppress_tokens arg for generate()

quick condor
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Regex filtering adds latency and I'm pretty sure Vedal is addicted to latency reduction. I doubt he would trade latency for anything short of full colapse.

Reading it as something other than boundary erosion (note erosion not colapse) is reading further into it. occam's razor, this all fits boundary erosion and other explanations are honestly cope. when a non coding model is trained to code incorrectly, the boundary between normal output and output structure is blurred

fast pagoda
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I just said you don't need to add latency

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You literally just force the probability to 0 and there's 0 overhead

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You don't need to do regex at all

quick condor
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bad_words_ids or suppress_tokens in HF generate() is cheap in theory, but in a custom streaming/incremental setup (likely what Vedal runs for live responsiveness), it can introduce overhead or require re-architecting the generation loop. More importantly, aggressive suppression risks "sterilizing" creative output

fast pagoda
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Filtering one token would have nearly no effect on how creative the output is unless it comes out all the time which it demonstrably doesn't

quick condor
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If that was the case he would just add it to the filter

fast pagoda
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Yes, but he doesn't, because it doesn't mean anything and is not harmful

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If it were intended to have this token output, it wouldn't be showing up as it would be filtered by this mechanism as a rule rather than optionally. I don't see how you can think "it likely appeared a few times in the training data aggregate, by mistake" is somehow more outlandish than what your theory seems to be which if I recap so far would be:

  1. Evil is being fine tuned on code for ???? Purposes and this adapter is present on the model checkpoint he is using in normal streams for some nonsensical reason
  2. She has FIM output tokens intentionally rather than by accident, because she's being trained on poorly selected bad data
  3. This token is both intentional and meaningful to the model and yet somehow is not being correctly filtered before it ever gets output as text in a chat completion
  4. Vedal sees this and just doesn't care or doesn't know how to stop it which would be both extremely unlikely
  5. Or he sees it but would rather leak special tokens from his model he very intentionally doesn't reveal the origin of, in order to save the single nanosecond of latency that might add
kind nimbus
fast pagoda
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Is that for renting human labour

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There was another site just like that

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So there's at least 2 nice

kind nimbus
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There is rentahuman

kind nimbus
kind nimbus
fast pagoda
fast pagoda
kind nimbus
quick condor
# fast pagoda If it were intended to have this token output, it wouldn't be showing up as it w...

If the tokens (<|fim_suffix|>, <|endofcomposing|>, etc) were truly meaningless artifacts (random substrings that slipped into the vocab during pretraining or fine-tuning):

  1. they would leak randomly and uniformly across contexts, normal chat, singing, rants, arguments, etc. not selectively when the matching subsystem is engaged (HTML/code gen -> fim_suffix, composition/philosophy -> endofcomposing, etc).
  2. Their probability would not spike so precisely in those modes. Conditional sampling from "contamination" doesn't magically align with subsystem activation unless the token gained implicit associations during training (i.e., it was used as a control/special token at some point).
  3. The filter would treat them as harmless gibberish and either ignore or zap them early, yet they persist in output despite public visibility that is clearly noticeable.
  4. Random contamination doesn't produce context-gated, subsystem-correlated leaks. That's the hallmark of a token that was special/atomic but whose boundary protections have eroded. Once the leak happens it's part of context, unless context is cleared it will continue to occur.
  5. Vedal's secrecy style doesn't support "playing with fire", Vedal keeps the backend opaque (no public model cards, no tokenizer dumps, no detailed fine-tune logs), but his actions show he's careful about stability. He avoids publicizing internals that could invite exploits or copycats, yet he lets harmless weirdness (token ticks, filter bypasses) become part of the brand because it fits the "unhinged AI daughter" lore. If these were truly useless tokens he'd want gone, the filter (which already handles sophisticated content rules) could suppress them with minimal effort. The fact they survive suggests they're not inert, they're remnants of useful (or once-useful) scaffolding that's bleeding through as new features get fused on.

He's secretive, yes, but not self-sabotaging. Intentionally keeping high-probability, non-functional tokens in the vocab that trigger during live streams would be playing with fire. It risks coherence drops, immersion breaks, or even subtle degradation over time. Vedal's obsession with performance/latency/creativity makes that unlikely. The more better explanation is these are/were special tokens (custom for composition state or borrowed FIM-style for code tools), and the boundary has eroded unintentionally from iterative extensions without full re-hardening.

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Or he's playing 4d chess to throw off people with enough knowledge to be able to recognize this, even though if you could recognize it you know enough to be able to build your own with any model family of your liking

fast pagoda
# quick condor If the tokens (<|fim_suffix|>, <|endofcomposing|>, etc) were truly meaningless a...

this is a huge amount of words to incorrectly describe dataset contamination.

  1. flat out wrong, and fundamentally misunderstands language models. nothing appears uniformly, that is the entire point, it's all conditioned on the context it appears in. It doesn't output the token during a normal chat because the attention heads aren't looking at code patterns. But the second the context window fills with HTMl and other code, of course the code completion token's probability naturally spikes. that's literally just... what you'd expect from training data contamination? If <|fim_suffix|> appeared in code-adjacent training data, of course it's going to have higher probability when the model is in a code-adjacent output mode. This is a natural and obvious feature of attention and the probability distribution of possible next tokens.

2, 3,4,5, and the rest: If that string appeared in training data near compositional or reflective text, the model learned that association. It doesn't mean there's a secret composition subsystem with a leaky boundary. It means the model saw that token near similar context sequences in training and sometimes reproduces it.

it persists because it's inconsequential, not because it's load-bearing scaffolding that's eroding. The simplest explanation is still: junk in the training data, model occasionally samples it, nobody bothers to fix it because it doesn't matter.

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an llm is not a statemachine with specific "subsystem activations" and "boundary protections" as you keep saying

there are not boundaries to erode

azure lynx
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it's there because it's new. she hasn't ever said that particular thing. if i had to guess i'd say it was a bug introduced with the "draw SVGs to the screen" feature

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(the <|fim_suffix|>)

quick condor
fast pagoda
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he probably did give her a bit of code training and accidentally included some fill in the middle model completions in their entirety leading to that token getting sampled sometimes in this particular checkpoint, he did mention he wanted her to be better at it

fast pagoda
azure lynx
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i think (based on vedal's ability to turn it on and off) that the drawing is mostly an external module that has to be talked to a specific way. it's possible the module itself is adding a set of text to the end fo the output and the post processing isn't cleaning it properly, letting it leak throught. nothing to do with the LLM directly. that'd also track with her not being aware of it.

fast pagoda
quick condor
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The boundary between special tokens and normal tokens, you are literally reframing my stance as a counter argument

fast pagoda
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your stance is nonsensical

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you are conflating the inference wrapper with the model

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to the model, there is no boundary

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whether it is generating "f" or <|fim_suiffix|>

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it is just another integer index that maps to an embedding

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attention doesnt care about special tokens or have any concept of what they are

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the boundary would be in the script running the generation, like the tokenizer config or the stop token criteria

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if it leaks a token there, it's not some model exploding erosion of the network it just means he's not post-processing it out

azure lynx
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attention can see the tokens as text to be emulated if some leak into the context somehow. i had a bug with my agent where it would produce bogus <end_of_turn> tokens which messed up how it read the next stuff.

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because something was leaking through

fast pagoda
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it learns the special tokens and uses them if trained to because it literally just knows that it's likely that token shows up there in the training set

fast pagoda
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but that's not how this is presenting at all

azure lynx
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this looks mechanical, because it's the end of most sentences. it's somehing being added.

fast pagoda
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something external to the model

azure lynx
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yeah

fast pagoda
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but yeah if your context management is feeding these tokens back to the model it'll cause them to go off the rails too

azure lynx
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it's always the last word of the "screen" of text without caring how long the text is.

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i think sometimes the screens get chopped into segments, and then its on the last segment

errant flax
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on visual studio code, whats the best model to use to create code? is it claude opus or gemini

fast pagoda
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could be that there's another model handling something with that feature, a small code model of some sort, and the chat template is just borked a bit and leaks that last token really

azure lynx
errant flax
quick condor
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Yes, to the transformer itself, token ID xyz or whatever <|fim_suffix|> maps to is just another embedding vector. The model has no ontological concept of "special." That part is correct, but then you are jumping to "the boundary would be in the script running the generation, like the tokenizer config or the stop token criteria", that's exactly the point. If those boundaries were properly configured, you'd never see these tokens in output. The fact that they're appearing means either the stop/filter criteria don't include these tokens (a configuration oversight) or the model is generating the string representation character by character rather than as the single special token ID, which would bypass stop token matching entirely.

Which is textbook boundary erosion. The gap doesn't exist to the model, that's why special tokens follow a specific format. If you output something that looks like a special token or a special token leaks that boundary is eroded

azure lynx
errant flax
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ohh okay. thanks.

fast pagoda
quick condor
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I run opus and codex in vs code using opencode/claudecode/codex extensions

fast pagoda
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the entire stream harness is a big scuffball on occasion i thought this was known

azure lynx
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if you run out of your month's premium credits, you can just use the Gemini CLI (or one of the plugins probably)

errant flax
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i took the 5080 from my main pc and put it in my ai pc but i dont even know how to get it working ๐Ÿ’” i lost my V2 code

quick condor
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The fact that it started as one set of text and has expanded is the definition of worse. Gibberish isn't helpful and confuses a model

fast pagoda
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she doesnt seem aware of it and given her context management it probably never appears in it

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especially if it's coming from another model

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he has always been good at this aspect

quick condor
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The fact that she isn't aware of it implies that it isn't intended

azure lynx
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it's probably filtered at the wrong point before going into her memory. (i.e. it should be filtered before the TTS generation)

fast pagoda
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i still agree it's probably not intentional, why would it be

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it's probably also inconsequential

azure lynx
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but it must be filtered somewhere if she's not remembering it

quick condor
fast pagoda
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probably just after it goes to tts rather than before

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if it's another model doing it then it wouldn't be affected by her special token filter

quick condor
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But if it was she wouldn't continue outputting it after she stopped writing code

azure lynx
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i think it was interesting she sometimes called Koko Coco.

quick condor
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The multi model theory is bloated and slow in this context

fast pagoda
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she has a lot of human-esque misspellings and typos, it's cute

quick condor
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Those are most likely transcription errors

fast pagoda
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they are

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and also models do them if they learn them

quick condor
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Names are hard for transcription

fast pagoda
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she "hears" it wrongly spelled because of her stt so that's how she spells it on the way out too

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unless that name is directly specified

quick condor
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The only way that should happen is if she's basing the name off something someone said, there is no way Vedal isn't pulling discord id's at this point

azure lynx
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she sometimes called Koko by her discord name

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referred to her anyway

fast pagoda
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she will look at the discord name when she's able to on occasion

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depending on how large neuro/evil's models are, a small model like a qwen3/3.5 .8b or 4b (probably too new at this time but just in concept) that's there literally to just handle sending requests to the tool for drawing SVGs, after she signals her intent, to allow her to continue chatting and not sitting there generating thousands of svg tokens, and also sidesteps having to finetune the main neuro model and potentially affect its personality with additional tool instruction

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just a theory not an assertion of fact

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but that's why i would do it

azure lynx
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a 4b is probably not smart enough to draw well.

quick condor
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Its still most likely Llama as that fits development and interchanging models is asking for technical debt. They may have moved to newer models and we're likely trained off code llama

fast pagoda
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if it's finetuned just for that it could

errant flax
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wait what is the context rn

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whats the topic

azure lynx
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commentary based on what we remember from Evil's last stream?

fast pagoda
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speculation on the occurrences of evil outputting a code fill model special token

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or seeming to, at least it comes into the messages from somewhere

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now i want to see qwen3.5 4b attempt some svgs

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i bet it's surprising

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time to check

quick condor
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The general consensus is Llama based but it will never be confirmed. Even if multiple models are used, keeping it in family is the only way for a sole dev to not completely burry themselves. There isn't a logical reason to change and there isn't a better original fit

fast pagoda
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a lot of it was me admittedly reading too far into what has was saying and thinking he was trying to say neuro's model was crumbling to dust because a special token leaked

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lol

azure lynx
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i had a coding model draw a face and animate it in python for me using SVG-like components. it looked about as good as i could do it but not good enough to show anyone.

fast pagoda
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when neuro first came out im pretty sure the big oss model was llama 2 pretty much

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i remembe when llama 3.1/3.2 etc came out there was speculation on it

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tfw cant upgrayyd neuro because zuckerberg cant figure out how to into AI lab

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or maybe gpt-j 6b was the true agi all along

errant flax
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okay gotcha

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isnt neuro 2b>

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?

fast pagoda
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doubt

azure lynx
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she's >8b or so.

errant flax
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thought so

azure lynx
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that's a guess based on how she interacts and what hardware vedal has said he has

errant flax
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how do uncensored ais like neurosamas ai even work

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dont they take a while to train

fast pagoda
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she's not uncensored

errant flax
fast pagoda
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it works the same as any llm it's just not given as much alignment focused post training

true hemlock
errant flax
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my main pc has a 7800x3d, 5080, 32gb of ddr5

fast pagoda
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i am so glad i decided to grab 128 when i did

errant flax
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the pc i dedicate to a (future) ai has a i5-13400F, MY 5080, and 32gb of ddr4, plans to upgrade to 64-128

fast pagoda
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you must acquire more machines this pleases the chip

errant flax
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๐Ÿ˜ข

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i got the i5-13400F for a good deal so i decided to work centered around that

true hemlock
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i just realized most of the cost aren't even the pc component related

errant flax
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assuming vedal does indeed use an i9-10900k, i guess the i5-13400F outweighs it in some categories

true hemlock
true hemlock
fast pagoda
errant flax
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i dont fall far behind a 4090

true hemlock
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doesn't really matter either

errant flax
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just mostly vram perhaps

true hemlock
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thread concurrency is a thing

fast pagoda
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32 hurt

true hemlock
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this is why i always tell people to get ryzen 5 for their gaming pc

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because "multitasking" isn't a good excuse to pay at least $100 more for 2 extra cores

errant flax
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i paid 100 for my i5-13400F

fast pagoda
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i am glad i have muh corez

errant flax
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๐Ÿ˜ข

true hemlock
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anyways

fast pagoda
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i recently paid $75 for this 5500 that replaced my deadge 5900 in the nas

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dont buyh a 5500

errant flax
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was thinking on a 5600x for the pc

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but stumbled on the i5 so

true hemlock
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what im saying is that i always adviced people to go with 7600/7500f/9600x instead of 7700x/9700x

fast pagoda
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there's a 5500x3d now which fixes the main issue

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with the 5500

true hemlock
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96 zen5 cores

errant flax
fast pagoda
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did you get that other epyc yet

true hemlock
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which

quick condor
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I theory my model could be significantly smarter than neuro but the fact that there is so much that can be optomized and improved on neuro just goes to show bigger isn't better.

Chances are her main model is roughly the size of my gate model and that's impressive in and of itself. I get to be super lazy because I'm using late 2025 models as a base, he has to work within the scaffolding he built over years

fast pagoda
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the 9965

true hemlock
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can't find deal yet

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i would only pay at most $6K for it

errant flax
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6k ๐Ÿ˜ข

fast pagoda
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behold

true hemlock
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because i paid $3K for my 9655

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wait fuck what

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..................

fast pagoda
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check oil rush

true hemlock
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..................................

quick condor
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I think I paid $150 for my 10900x but that was also so I could run the same motherboard and ram and add a third gpu

true hemlock
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e waste

quick condor
fast pagoda
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the one time i got fomo and i was actually right

true hemlock
fast pagoda
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shidd i got distracted

true hemlock
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i remember seeing youtubers having 128GB on their task manager like years ago

quick condor
true hemlock
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$150 for mere 10900x

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that shit worth $60 at most

errant flax
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i love my i5-13400F ๐Ÿ’”

fast pagoda
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LMAOOOOOOOOOOO 4b

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first of all

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it was cooking

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yappin

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egg baby

signal trout
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beautiful

errant flax
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bootiful

fast pagoda
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dooing one with no thinking this time

kind nimbus
fast pagoda
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sweet jesus

unkempt citrus
quick condor
# true hemlock $150 for mere 10900x

Depends on where you live, also counterpoint, what's your solution other than "you shouldn't have spent the equivalent of what you spend weekly going to the club extra"

fast pagoda
unkempt citrus
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๐Ÿฅš

kind nimbus
true hemlock
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i just like to PepePoint people for spending on something not on up to my standards

errant flax
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standards being a 6k cpu ๐Ÿ˜ข

true hemlock
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nah

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love my $40 3600x

errant flax
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my ai computer doesnt even have a case

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its on my desk on a cardboard sheet and hopes and dreams

true hemlock
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all my pc doesn't have case

errant flax
true hemlock
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case is optional

fast pagoda
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qwen3 4b vision kek

errant flax
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yur

quick condor
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To be fair my standards are 100% different.

Putting a consumer gpu in a server isn't up to my standards therefore doing so is ewaste.

Am I doing it right

fast pagoda
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waste of sand

true hemlock
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totally forgetting that the consumer and workstation gpu essentially uses the same exact die

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just price marked up

fast pagoda
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tbf 5090 is crippled

errant flax
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rtx 6000 better or whatever ๐Ÿ’”

fast pagoda
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and most nvidia are

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at the high precisions ofc

true hemlock
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also many enterprise rendering farms uses xx90 class gpus

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because they're the most cost effective

fast pagoda
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which doesnt matter for a lot but still

errant flax
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is 3090 worth buying still for the vram

fast pagoda
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get a v100 32gb or something

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oh yeah my v100 is still downstairs i forgor

errant flax
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v100 still worth getting?

true hemlock
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yes

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unless if you cared about flash attn

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and bf16

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but it doesn't matter

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generally

fast pagoda
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it's decent in that it has tensor cores and vram

quick condor
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I should get a b300 server to piss off @true hemlock

true hemlock
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because bandwidth is pretty damn good still

errant flax
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what the hell is either of those

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๐Ÿ˜ข

true hemlock
errant flax
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im not suited to participate in this conversation

fast pagoda
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tensor cores = matrix multiplication accelerators among other things = need for good training speed

vram = ram on video card

true hemlock
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if imma be honest

errant flax
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the bf16 and flash attn

fast pagoda
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flash attn just a speed up technique for attention mechanism

errant flax
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oh okay

quick condor
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3090/3090tis are still able to hit solid numbers on decently sized models

fast pagoda
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and bf16 is brainfloat16

true hemlock
#

B300 ain't that bad because it still had the nvlink shit and enterprise rate half precision + enterprise tensor rate just that i personally hated it because im a HPC guy

fast pagoda
#

aka a precision

errant flax
fast pagoda
#

ayep

errant flax
#

cool cool

fast pagoda
#

think of it like faster fp32

errant flax
#

yea

#

im going NOWHERE with my 5080

#

stupid 16gb vram

#

๐Ÿ’”

fast pagoda
#

8 exponents, 7 mantissa, less precisise but keeps the range of fp32

fast pagoda
#

even with 128gb of ddr5 as well

errant flax
#

that makes me feel worst the finish line is even farther than thought ๐Ÿ˜ข

quick condor
errant flax
#

what are YOU trying to do tho

fast pagoda
#

train 27b+ models

errant flax
#

i bought a motherboard

#

but they sent me another one

#

slightly better

fast pagoda
#

worht

quick condor
#

I'd love more vram and I have 64Gb total + 128gb ram

errant flax
#

but theres only one usable pcie slot

#

1x 4.0 16x

#

and 3x 3.0 1x

#

all full sized

kind nimbus
#

wow so affordable

fast pagoda
#

9b has produced a glorious jersey shore neuro

errant flax
#

are tesla cards still usable ๐Ÿ˜ข (yes i know tensor cores arent even a thing on them)

fast pagoda
#

not really

#

i mean

errant flax
#

honestly i used a P4 before i thought of taking my 5080 out

fast pagoda
#

you can do inference on themig

errant flax
#

i cant even put more than 1 gpu

fast pagoda
#

similar to like mi50

errant flax
#

1: i got a damn matx board for the ai pc

#

2: the 5080 is FAT with quad (master ice)

azure lynx
fast pagoda
#

pink

#

behold

azure lynx
#

the mr potato head is cool too

quick condor
#

I'm running 3 cards including 2, 3 slot FE 3090tis in a standard case but that's with a lot of asterisks

fast pagoda
#

she's cooking

kind nimbus
#

im now gonna try that with my openclaw just for the lolz

quick condor
#

Ewww openclaw

kind nimbus
errant flax
#

BUT im bottlenecked with the fact that 3 out of 4 of the slots are 3.0 1x

glass flower
#

what is good about openclaw is the better question LULE

fast pagoda
#

i had a 3080 and ai pro r9700 living next to each other and it was fun

#

move the 3080 to the other system tho

#

neeed to sell that pos

azure lynx
#

i think if you could pass the image back in and the agent could compare what it did with how it thought it would look then you could do self improving art... except they can't see properly.

quick condor
#

Any level of opsec, backend code is trash and relies on the model being able to figure it's way through paragraphs of slop system prompts, and terrible tool call methodology

upbeat ridge
#

Garbage in garbage out

errant flax
#

lowkey what even is the scam here

fast pagoda
#

very good config highly recommend if you want to learn very well how bad pip is at detecting what to put in a venv

errant flax
#

yeah i might recieve a brick but isnt there ebay buyer protection

true hemlock
#

1* H100 80GB
1* H200 141GB
1* A100 80GB
1* A100 40GB
3* V100 32GB

#

epyc 9655 96 cores, 12*64GB DDR5-6000 RDIMM ECC

fast pagoda
#

ok 27b

errant flax
quick condor
fast pagoda
#

she do be a bit long

true hemlock
#

12* 22TB SAS HDD RAID6

quick condor
#

My thermal solution

errant flax
#

"i love my $40 3600x" okay

#

๐Ÿ˜ข

quick condor
#

Well old one, loop is changed

fast pagoda
#

i got the heatsinks for my xeon scalables today as well

#

sheeit

true hemlock
#

my usual hunt is 2TB HDD for $20

#

or like

#

some engi sample chips for 1/3 the cost of retail chip

fast pagoda
#

i just got 5 3tb hdd for like 80 bucks yesterday

quick condor
#

Current loop runs cooler

fast pagoda
#

it was pretty cash

true hemlock
#

soft tube wilted_rose_4k

fast pagoda
#

i wash my motherboards in the sink

#

(which you can do in case anyone was wondering(

true hemlock
#

i should probably do that

#

actually maybe 99.9% isopropyl

#

have plenty of that

errant flax
quick condor
#

Yah well I'd love hard tube but I don't have room as it is even with no reservoir

true hemlock
#

pGLO plasmid arrives tomorrow

fast pagoda
kind nimbus
#

wtf I can't .... lmao

this is what qwen2.5-coder-7b-instruct made

fast pagoda
#

and dont have enormously hard water

errant flax
#

makes sense

quick condor
#

I literally have sand in the water at my shop... I have to dump the stage 1 of the RO system from time to time

true hemlock
#

i also like hoarding things like these

#

$300

fast pagoda
#

fun

#

refusal: expertly manipulated

errant flax
#

im gonna go to bed good night guys

true hemlock
#

bga modt

fast pagoda
#

she is staring into my very beign

true hemlock
#

internet really ass rn

fast pagoda
#

HOLY

#

qwen3 coder next

#

does not have vision

#

it's a huge model but no vision

#

so wanted to see what it would do with a detailed description

amber fractal
true hemlock
fast pagoda
#

nice uppload

#

speeedtest time i heard

kind nimbus
#

i think my ping is quite good for wifi lol

fast pagoda
#

i went to find my phone to test and it's dead asfk

#

gonna complain to comcast

glass jetty
fast pagoda
#

Weefee

#

Shitty Verizon service

glass jetty
#

you....

patent shard
fast pagoda
#

speedtest servers actually working better than fast(netflix) is surprising

fast pagoda
#

and that's up & down symmetrical finally

fast pagoda
#

ok gemini

quick condor
fast pagoda
#

not needed

#

waste of weights

#

qwen-vl exists

#

3.5 has vision

#

specifically coder-next they took those layers out

quick condor
#

Not really? Vision is incredibly useful for a agentic coder

#

And tiny

fast pagoda
#

it's not needed, it can be ncie to have

#

it wasnt the focus of that model, it was already 80b they decided to focus more on knowledge and such

quick condor
#

A vision model is like 0.5b. That's marketing

fast pagoda
#

it's just an encoder

#

but it doesnt mean it doesnt affect the rest of the model

#

i would've liked it to have vision too

#

it's just not needed tho, that model was really good for a local model, still is, wayyyyyyyyyyyyyyyyy better than devstral

#

like not even close sadly

quick condor
#

Used both, quen is terrible at tool calls

fast pagoda
#

exact opposite of my experience, devstral was unusable garbage in every test i tried in comparison

quick condor
#

Was able to catch mistakes codex and opus missed in a real world codebase in opencode

#

Which really seemed to piss off codex

fast pagoda
#

i never saw it do anything impressive except impressively slow speed w/ impressively meh results for the size

#

what devstral are you even talking about, devstral medium did not have vision

quick condor
#

What? I get over 100t/s steady state generation

#

Small

#

Medium isn't local

fast pagoda
#

they removed the vision encoder from devstral small

#

someone might've taped it back on

quick condor
#

No they didn't?

fast pagoda
#

2 has it 1,1 didnt that's what i was thinking of

quick condor
#

I want to know why they are calling 4 119b "small"

fast pagoda
#

i kinda ignore mistral unfortunately since the models havent been very competitive

#

119b is small in that it's the smaller one

true hemlock
#

imagine code with clankers

trim valve
#

(22TB)

tawdry valley
#

DROP DB

tender river
#

fumug

rigid snow
jagged turtle
#

maaaaaaaaaaaan

#

why can't I buy stuff because my bank sends security codes like half an hour later

rigid snow
#

mimo v2 is so good why'd they have to make it proprietary tho

#

interesting how there's 0 mention of it here neuroCatUuh

#

i thought this was #llm-central

rigid snow
rigid snow
#

though it thought this

The response should stay conversational but informative - no need for technical jargon since the user didn't ask for scientific details. A light tone with concrete examples (like Emperor Penguins' cold adaptation) would make it engaging.

sage crag
#

peng wins because of fate

tender river
#

mood

true hemlock
warped narwhal
real sierra
#

awa

tender river
#

awa

gentle haven
#

awa

obsidian mantle
#

what countries is it allowed from

#

estonia/switzerland dont work NeuroRage

#

whole eu is blocked i guess

maiden geyser
glass jetty
sage crag
real sierra
nocturne olive
#

Rare Shir spotted

real sierra
opal skiff
#

Rara shr

kind nimbus
sage crag
#

good question

#

i dont care

kind nimbus
willow hinge
nocturne olive
#

Not out of question if you count EvilSynth

old grail
#

hey guys, do yall know the site to compare GPU's on

#

or a site

#

nvm found it

fickle rain
#

Uh
Hardware Unboxed do a lot of benchmarks I think?

nocturne olive
faint sandal
sage crag
#

wrr

tender river
#

wrrrr

glass jetty
#

only issue is nvidia drivers itself

#

did i said about my second exp of setting up nvidia on new debian system?

#

in short: there was short period in which nvidia driver was JUST broken, and i fell exactly into this period of time
wasted 3 days of my life just to find out about this issue on random post a month later (i not even remember where)

ruby star
#

Got Randy working neuroHypers for some reason I have to do >npm run before I can get >npm start to not throw a tizzy, but that somehow makes it work

rigid snow
#

yesterday gave an agent a phone with adb and told it to root it - lol
and thatโ€™s not counting the 100 random binaries it uploaded to run from adb shellโ€ฆ yeah fun

#

it being a pixel doesn't help, it tried like 30 cves already

sage crag
#

Exploit Exploit

#

it should just flash cfw

rigid snow
#

bootloader locked

#

us verizon model

tender river
#

it should just find a zero day

#

how hard could it be

sage crag
#

it should install a virtual machine onto the phone and root the virtual machine

rigid snow
tender river
#

dangerous

#

it will

#

bore a hole

rigid snow
#

trying to dig hole in blanket

#

stuopid

sage crag
#

well known rabbit, sylveon

#

every rabbit pokemon is two legged, how can this injustice stand

#

rabbits are cuter on four legs

rigid snow
#

google pixel mod chip

tender river
#

boring provide sample

#

it can contain important material

#

like

#

loam

sage crag
#

pat loam

#

pat tax

#

dinkdonk

rigid snow
sage crag
#

secrets

#

like

#

my secret pancake recipe

tender river
sage crag
tender river
#

segfault

sage crag
silent cloak
rigid snow
#

2022 cve

olive sable
#

good idk anymore

rigid snow
olive sable
#

evening?

rigid snow
#

evening?

#

it's morning

olive sable
#

its morning somewhere

rigid snow
#

not here

olive sable
#

good enough for me

olive sable
#

goodmorning

rigid snow
olive sable
#

its friday

#

crazy

olive sable
#

what?

olive sable
#

i have no clue who that is

split steppe
#

damn is becca vintage now

silent cloak
#

That song gave everyone a stroke

split steppe
#

๐Ÿ™ she was just having a little fun

olive sable
#

oh

#

i see

#

ye thats a song from 2011

#

i was barely concious

split steppe
#

hella morning you got

#

i'm designing an authn system and it's ass

opaque sigil
#

I'll believe it when I see it neurolingSlep

split steppe
#

it's been 10+ years since we saw anything that could still be considered "quality"

#

15 years even

#

i love the joke that their quality commitment post starts with "yeah uhhh, you can move the taskbar" like we want that more than not having the machine literally brick every other update

#

also that article is ai generated

nocturne olive
#

Classic Microslop

azure lynx
#

https://youtu.be/rRnOtKlg4jA?si=SwVkz-yVh-wIpjEq <= if you like music and you like programming

Let's try smashing some sine waves together and see what sort of sounds we can create!

Support my work (and get early access to new videos and source code) on Patreon: https://www.patreon.com/SebastianLague

Project files:
Currently in early access to patrons via the link above (will be freely accessible from 15 April).

Resources and credits:
...

โ–ถ Play video
nocturne olive
#

Silly
(someone should totally make a vocal synthesis version)

azure lynx
#

there was a scene very near the beginning where he takes a spectrogram of someone speaking and just draws a basic shape over the curves, does an inverse DFT and the result is a very close to the original (in broad strokes). a kind of manual audio compression.

#

i've played with speech synthesizers before (long before the neural ones). It was mostly making filters and sweeping parameters to cause the lines to be thicker/thinner or higher/lower or playing noise and enveloping it. that, and coming up with the right vocal impulse shape for the voice.

olive sable
trim valve
#

I guess the ai hype is kinda wearing off if they're not trying to push it as much

olive sable
#

i have had nixos for how long now?

#

and i only just noticed i have nothing installed to compress files

trim valve
#

you probably have something if you have a file explorer

#

just not on your path

olive sable
#

i have probably something, but nothing that work toghether with thunar

#

i cant right-click a folder to zip it

silent cloak
#

is nix worth looking at for most cases?

#

or is it just kind of a system wide docker compose

olive sable
#

wdym?

silent cloak
#

ive been running proxmox for my servers for quite a while

olive sable
#

i like it for my desktop, idk about server stuff tho

silent cloak
#

but i heard some stuff from nixos while the whole abandoning discord thing was going on

#

didnt know it had a desktop

olive sable
#

what?

#

i feel like we're on different pages here

silent cloak
#

most of the times i saw nix it was being used just as a server with configurations defining its services

olive sable
#

with dekstop i mean my desktop pc.
im still using hyprland for the actual userspace thing

silent cloak
#

kind of like a docker compose sort of setup for applications

#

ah

tender river
#

i use it on desktop, on my server, on my router, on my phone, on my ereader

#

its not really comparable to docker compose

silent cloak
#

i wasnt sure if u guys were just shilling it until i saw it being used out in the wild

silent cloak
olive sable
#

we are shilling, but its also just pretty good

silent cloak
#

essentially defining it all by configuration

tender river
#

m

silent cloak
tender river
#

its a programming language thats used to build a configuration

silent cloak
#

the best software is usually hated kek

olive sable
#

no

tender river
#

docker compose is different, its a ready made system, not a programming language

silent cloak
#

i saw a thing on setting up matrix with it

#

it just gave me container config vibes

olive sable
#

if people hate something, its only used because of it being a necessary evil

silent cloak
#

nothing is perfect after all

olive sable
#

nixos has its cons

silent cloak
#

(thats also why i dont trust rust)

olive sable
#

but they're not that bad from my experience

tender river
#

only real cons are fhs-nonconformity and rebuild times

#

well maybe lack of docs too

silent cloak
#

ill have to look more into it

#

if it works like how I have it in mind i might swap proxmox out

olive sable
#

my main issue is downlaod pages.
"download for linux" and they give me a compressed file that i cant do anything with

#

cuz you need to get it from nixpkgs

silent cloak
#

cant set custom repos?

olive sable
#

im pretty sure there are some ways to get around it, but its annoying

silent cloak
#

good

olive sable
#

like, you can build from github repos iirc

silent cloak
#

i was about to say its an immediate no for me if its locked in ecosystem

tender river
#

its a programming language

olive sable
#

are we not talking about nixos? or is this about nix?

tender river
#

but the main package repo is centralized, well, thats a thing with any distro, but with nixos since every unique build is a unique file, there are not really any mirrors

silent cloak
#

yeah ill need to look into it

tender river
#

theres no "package X version Y", theres just "this file that was built for some reason while running the code, after updating some dependencies you have to rebuild it again"

silent cloak
#

i kind of have a container approach for my main server right now

tender river
#

so mirroring is impractical

olive sable
#

the main thing i find handy is temporary installs, where i dont have to worry about deleting random files that got scattered over my entire pc

silent cloak
#

does it work well for kind of a general purpose server?

#

I have my arrsuite in an LXC, plex in another, and some other services setup with their own arrangements

#

I have one VM for legacy reasons

#

Apparently some people just run Nixos in proxmox in LXC or VMs due to complexity

olive sable
#

i wouldnt know

olive sable
#

i broke the usb-c decoy board

#

magic smoke

#

good thing i was gonna replac eit anyways

#

it worked perfectly fine before to power the lightcrafter, but this time i didnt even have anything that uses power attached

#

it appears the V+ pad was the place the burnt

#

which means i did a bad job repairing that solder joint neurOMEGALUL

#

Ye its cooked

leaden crest
#

uh oh neuroD wasnt that the solder from earlier ago ๐Ÿ˜ญ

olive sable
#

well, i dont think i did that bad of a job, cuz when i ripped of the green thing the solder joint survived

leaden crest
#

thats true

olive sable
#

so i must might have accidentally shorted it with something else???

#

i just wanted to calibrate my potentiometer lmao

#

the one in the multimeter

trim valve
#

the potentiometer in the multimeter?

olive sable
#

there's a rotate potentiometer to calibrate the multimeter

trim valve
#

oooh

true hemlock
#

if you have a really high current supply you shouldn't do resistance test directly on it

olive sable
#

i did voltage test

sick owl
#

You know I can see how Mistral does so well with B2B contracts

#

Their models might lag behind in performance but Le Chat is really pleasant to use

#

Makes sense that their revenue comes from bespoke integrations rather than the models themselves

silent island
#

Rip i got no signal...

silent cloak
#

They had like one good model variation for a short period before it got surpassed

errant flax
#

hey guys

olive sable
#

guy here

#

hey

fast pagoda
#

Cat is fucking stupid and almost broke this so I guess it's time to put some together

olive sable
#

is that the mobo for the secret project?

fast pagoda
#

Nah it's Xeon scalable

olive sable
#

oh

#

bwaa

#

it says lga 3647

fast pagoda
#

Yeah

#

Xeon scalable gen 2 for these

#

3647-1 is u thinking

olive sable
fast pagoda
olive sable
#

that kinda spoils what the secret project is for the people that can use google

olive sable
#

have you tested it yet?

#

can it run doom?

#

it has a pcie slot, so it should fit a gpu nicely

fast pagoda
#

I do not have power figured out yet lol

olive sable
#

oh

#

seems to just be standart 8 pin no?

young oyster
#

i just got my new PC put together, it's gonna be my new development pc. idk the best way to get the files from my laptop to the PC so i'm sending 286 GB over a windows share

#

and that's just phase 1

fast pagoda
#

rclone over network

#

or

#

tar it all and rclone better

#

or

#

physical ssd

young oyster
#

that's just documents, downloads, and unity project forlder

fast pagoda
#

fastest

young oyster
#

most the files are on a 1 tb hdd on the laptop, the laptops ssd is pretty small by comparison. the pc has a 2tb ssd. if i had an external HDD that might work, best i got is a 32 flash drive

young oyster
#

i don't relish the idea of moving nearly a TB of data 32 GB at a time

fast pagoda
#

y ea it's the node power that's the problem, though i think it can be relatively easily (and jankily) ran off atx

#

just havent put much thought in yet

fast pagoda
olive sable
#

it has a ram channel per slot, which is cool for getting good OC ReallyInnocent

young oyster
#

i have never taken apart my laptop...i've worked inside PCs but very rarely laptops. rather not risk borking something if i can avoid it.

#

i've seen enough of the inside of laptops to want nothing to do with it.

fast pagoda
#

it's honestly easier than a desktop because there are like

#

3 things you can really easily remove

#

the rest is a nightmare

young oyster
#

they got those ribbons...

fast pagoda
#

yeah but they are generally under the boards

#

what kind of laptop is

young oyster
#

i think it's a dell...or that might be my work laptop that's a dell...it was a decent computer like 6 or 7 years ago

fast pagoda
#

this response reminds me of one time i asked a girl i was talking to what kind of car she was driving so i could tell when she was arriving

#

and she said

#

red

#

did not know the year make or model

olive sable
young oyster
fast pagoda
young oyster
#

i was hoping i could find it without getting up and going over to it to see

fast pagoda
#

putting 12v on 4 and gnd on 4 pins in an 8pin

#

w0w

olive sable
#

its crazy i know

young oyster
#

it's a dell

olive sable
#

at least you wont have to deal with signal pins

fast pagoda
#

what's bottom of it say they usuallyu have a model name down there

olive sable
#

the 2x2 is auxilary power

#

idk why its there, maybe to OC

#

or if you install a gpu

fast pagoda
#

guessing for one of the many things that can be jammed onto one of the random slots

olive sable
#

ye

fast pagoda
#

the range of cpu tdp is like

#

huge

#

too

#

they go from like under 200w to over 300

olive sable
#

supposedly event ho it isnt necesary,t hey recommend you do populate the 2x2

#

The pinout is thankfully the same as on a normal ATX board

#

according to random guy on a forum

fast pagoda
#

yeah

#

'that's why i was like eh fuck it and grabbed it

#

i had read along those lines at a glance

#

and it was basically free

#

i think $180

olive sable
#

actually

#

im not so sure anymore

#

this forum guy amke stuff very confusing

#

we also have this now

fast pagoda
#

it's aight ill figure it out when i get there

#

really informative naming

#

i mean i know heretic, and that's part of uncensored, not sure what roughhouse is

#

definitely not sure who tf polar deckard is

#

maybe deckard caine but in a snowmobile

olive sable
#

sketchy as fuck lmao

fast pagoda
#

perfect

olive sable
#

obligatory "HE HAS RAM" neuroPoint

fickle rain
fast pagoda
#

distilled sft

#

on claude opus outputs

#

apparently the goal for that is to give a better thinking trace/more efficient one?

#

qwen do be rambling

leaden crest
olive sable
leaden crest
#

I want them neuroNom

amber fractal
fast pagoda
#

that's from a forum post

olive sable
#

im still financally recovering from the volumetric display

amber fractal
errant flax
#

so uh

true hemlock
#

i will never financially recover

fast pagoda
#

epoyc?

errant flax
#

is there any ai code helpers similar to vsc ๐Ÿ˜ข my premium subscription credits just ran out

#

</3

amber fractal
#

mabe

true hemlock
#

imagine coding with clanker

errant flax
amber fractal
fast pagoda
#

there's opencode, crush, gemini cli, codex, qwen cli, claude code in terminal, zed editor is similar to vscode, cursor/windsurf/trae/antigravity all vscode related

errant flax
#

unfortunately im broke and i assume those are subscription based

#

๐Ÿ˜ข

fast pagoda
#

kiro

#

all of them have trials

#

or like

#

free credit

#

antigravity is google's

amber fractal
#

Even codex from openAI currently is open to free users, arguably with a bit too high of a free usage limit

fast pagoda
amber fractal
#

Granted I actually got offered free trial

#

so codex has been slaving away

fast pagoda
#

he's chillin

mighty thorn
fast pagoda
#

was kinda waiting for that

mighty thorn
amber fractal
#

5th sense, which one are you missing glueless

fast pagoda
#

the touch of another

amber fractal
#

I always see you fool

mighty thorn
olive sable
#

does it have to be built in to the code editor?

amber fractal
#

I like using just claude chat for code

fast pagoda
#

firebase is also similar ish (and googel lmao)

olive sable
#

i dont really like claude

#

idk why

fast pagoda
#

claude is best boy

amber fractal
#

not opus sure, but it is free so you get what you get

olive sable
#

their website gives me the ick ReallyInnocent

#

but ye nah

#

its just so

fast pagoda
#

noctua

mighty thorn
#

Iโ€™m sorry

#

Iโ€™ll see myself out

olive sable
#

its like if you gave chatgpt's website to a "graphic design is my passion" guy that fucked up all the fonts

fast pagoda
#

i was gonna say it and didnt

amber fractal
olive sable
#

ye maybe

amber fractal
#

you can set the font enub

fast pagoda
#

you can configure font

#

lol

olive sable
#

why would is pend time going through setting when i can just use a different website?

fast pagoda
#

mostly because it's the best general use model imo as far as well roundedness especially if you prefer less cringe

olive sable
#

for code?

fast pagoda
#

i dont use the website for code so idk there, but in general yes it is also the strongest code model

#

ass far as agentic

mighty thorn
fast pagoda
#

gpt 5.4 is good for code

#

like a scalpel

#

and 5.3 codex

mighty thorn
#

Gemini is best for general qna

#

Claude for code

#

Grok for

fast pagoda
#

gemini is good for research

mighty thorn
#

And GPT for being cheap

olive sable
#

gpt 5.x has been fine for coding for me, but you cant really get anywhere due to the small token limit

mighty thorn
#

Except for when it isnโ€™t

fast pagoda
#

lol

#

that's gemini tho

#

sometimes bard comes back

mighty thorn
#

My baby boy

#

All grown up

fast pagoda
#

bard was so fucking funny

#

the hallucination master

#

i laughed

fast pagoda
#

the product

mighty thorn
#

I understand this reference

fast pagoda
#

idk why ebay has a developers program but im officially an ebay developer gigachad

#

(needed api key)

#

sheesh

#

they must be hurting

mighty thorn
# fast pagoda sheesh

Anyone who puts the taskbar anywhere other than bottom, or maybe also left, needs to be hunted down like the animal they are

fast pagoda
#

wha

mighty thorn
#

Smh

#

Typical ai bro

fast pagoda
#

no i know it mentioned that

#

but

#

i read too far into it

#

because i thought you were saying my task bar was both visible and somehow not on the bottom of my screen lmao

silent island
fast pagoda
#

purble place was peak gaming

#

although that started in vista

#

it's really REALLY funny that i see people waxing poetic about vista all the time now

#

for the record i didnt have any issues with vista

#

or ME for that matter

#

PICNIC errors surely

amber fractal
fast pagoda
#

does mint default to the bottlom

amber fractal
#

yes

fast pagoda
#

when i was slapping ubuntu server on a drive i was surprised to see it still trying to look like unity layout

#

task bar on the left

olive sable
#

i don't like having it in the middle. that's prime screenspace real-estate

fast pagoda
#

m-middle?

olive sable
#

i put stuff in the corners

amber fractal
#

I have on bottom because 16:10 screen

olive sable
#

that's fair i guess

amber fractal
#

If that is center then someone is being executed

olive sable
#

taskbars and such should only be visible when you need to see it, if they take up too much space when you dont need them that's a waste of space

amber fractal
#

Now I'm imagining screen center task bar and am dying

fast pagoda
#

krunner

mighty thorn
#

Thatโ€™s death penalty stuff

#

Agreed

amber fractal
fast pagoda
amber fractal
#

At least that isn't on all the time

olive sable
mighty thorn
amber fractal
fast pagoda
#

rate my task bar

olive sable
#

dmenu dissapears after you have used it, and it was only center of screen while you are actively using it and putting all your focus on it

fast pagoda
#

when u have powertoys

amber fractal
#

Lovely task bar on this system

olive sable
#

i dont see it

amber fractal
#

there is no bar

fast pagoda
olive sable
#

then how is it lovely?

olive sable
#

you have it on bottom, but you odnt have one?

fast pagoda
#

diff system

amber fractal
#

If I didn't need to see battery I'd consider not running one

fast pagoda
#

he posted a laptop

amber fractal
#

That is a funny sentence

mighty thorn
amber fractal
mighty thorn
#

Please

#

Please stop sending 1 dimensional arrays

amber fractal
fast pagoda
#

impossibru

olive sable
#

this is my taskbar rn

amber fractal
amber fractal
#

I have 3 main laptops, I do not own a desktop

fast pagoda
#

this is so cursed in general

amber fractal
#

I also do not own any servers

fast pagoda
#

megataskbar

amber fractal
#

megabar indeed

olive sable
# olive sable this is my taskbar rn

on the left hyprland tabs, main nvme storage, ram usage, cpu and gpu usage + power. on the right some audio stuff and headphone volume + battery, internet up and down, and power menu.

#

and in the middle the currently focussed window

fast pagoda
#

the top bar middle is only for visualizer

amber fractal
#

Man I love seeing this patcher train and the value loss is a full OOM lower than training loss

mighty thorn
fast pagoda
#

i have it specifically on turbo cursed rn

olive sable
#

i havent had any issues with lack of ram on my desktop, eventho im only on 16gb rn.

fast pagoda
#

why echo is kill btw

olive sable
#

on my laptop on the other hand

#

unity

#

unity was fucking taking all my laptop's ram

amber fractal
#

Alright