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evilhackerdude

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overton window manager

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The [next.js] developer experience is top-notch.

let me add my own unqualified statement to that: no.

Next.js has invested heavily in Turbopack but if you want to deploy it to Cloudflare, Netlify, or AWS Lambda, you have to take that build output and reshape it into something the target platform can actually run.

it's almost as if vercel had some kind of financial incentive to gear this towards their own platform.

reimplemented the Next.js API surface on Vite directly

a clown car screeches to a halt; several burnt-out-bored oracle vs google lawyers climb out and, weirdly, i am there for it

all in all, it's definitely a good example of something we couldn't have done for $1100 pre-llms, but: should we have? did somebody consult the lava lamps?

WIP: https://seidt.quest/s/dampf/

it uses a lightly modified @mori2003/jsimgui[1] and renders to webgpu. i can change that to webgl2 if anyone's browser fails because of that.

the fonts actual fonts appear to be tahoma and verdana. however, my imgui bindings couldn't bake the fonts at a specific size.

what i found interesting is running msiextract[2] on the above linked steam.msi revealed a TrackerScheme.res file with exact RGBA colors and layout configuration (borders, scrollbars, etc) for many widgets.

there's a lot left in there but i need to climb out of this hole for now. have fun!

[1] https://jsr.io/@mori2003/jsimgui

[2] https://search.nixos.org/packages?channel=25.11&query=msiext...

Claude Sonnet 4.6 5 months ago

keep in mind that people who point out a regression and measure the actual #tok, which costs $money, aren't just "being loud" — someone diffed session context usaage and found 4.6 burning >7x the amount of context on a task that 4.5 did in under 2 MB⁣.

AI Usage Policy 6 months ago

sounds reasonable to me. i've been wondering about encoding detailed AI disclosure in an SBOM.

on a related note: i wish we could agree on rebranding the current LLM-driven never-gonna-AGI generation of "AI" to something else… now i'm thinking of when i read the in-game lore definition for VI (Virtual Intelligence) back when i played mass effect 1 ;)

i thought i could enjoy woodworking, but i was wrong.

i attended two 1-day woodworking courses: hand tools and machine tools. i made a nice bench/stool thingy that i still enjoy daily.

however, every time i work with wood, my mind immediately goes to CAD, 3d printing and wishing i had a CNC. i look at my soft baby hands (i can’t go bouldering for shit) and walk to the keyboard, create a parametric model in a notebook (build123d is great!), slice it and send it off to one of my printers…

sigh

I'm looking forward to the first native optimized WebGPU implementation of 3DGS rendering. I'm also curious how scene data could be compressed and decompressed efficiently.

I've created this environment.yml:

  name: fairseq
  channels:
    - conda-forge
    - pytorch
  dependencies:
    - python=3.9
    - Cython==0.29.21
    - librosa==0.8.0
    - matplotlib=3.3
    - numpy=1.19
    - scipy==1.5.2
    - tensorboard==2.3.0
    - pytorch=1
    - torchvision=0
    - Unidecode==1.1.1
    - pip:
        - phonemizer==2.2.1
You can install it with micromamba (or conda):
  conda create -f environment.yml
  conda activate fairseq
You'll need to do this:
  cd path/to/vits/monotonic_align
  mkdir monotonic_align
  python setup.py build_ext --inplace
Then back to fairseq:
  cd path/to/fairseq
  PYTHONPATH=$PYTHONPATH:path/to/vits python examples/mms/tts/infer.py --model-dir checkpoints/eng --wav outputs/eng.wav --txt "As easy as pie"
(Note: On MacOS, I had to comment out several .cuda() calls in infer.py to make it work. But then it generates high-quality speech very efficiently. I'm impressed.)

Holy cow, that’s impressive.

Also, from The FAQ:

Who/what is behind this project? I've had a couple people and institutions provide a bit of help along the way, but I am — and always have been — one person.

Never underestimate the intellect of a single person. Every corporate team, every open source maintainer, every researcher more or less* has access to the same prior knowledge to build something new.

* some have more money to burn, some are surrounded by mentors/helpers

Reminds me of my first programming experience as a 10 year old kid. My dad showed me the QBASIC IDE. He typed one line of code:

    PRINT "Ach leck mich doch am Buerzel"
And hit Run → Start...

I broke out in laughter, realizing I can make real grey-on-black DOS programs just like that. It blew my mind and started my programming career.

Cool technique!

Wondering if there’s a low-bullshit reusable coffee filter medium to remove some of the oils.

What I want to get sorted most right now is water. I use tap water, but I need to filter it because it’s really, really calcareous. Most filters are made of plastic, or at least plastic cartridges with the filter medium. I was thinking about using glass or metal instead and somehow machine a container for the filter medium and buy that stuff in bulk. I really don‘t want to buy bottled water to make coffee.

Any thoughts?