jsmmth

import Metal
import MetalKit
import SwiftUI

final class Coordinator: NSObject, MTKViewDelegate {

    // MARK: Metal setup
    private let device: MTLDevice
    private let commandQueue: MTLCommandQueue
    private let pipeline: MTLRenderPipelineState

Xeukxz

Updated Version:

If you want to download an older version ive heard 205.15 works well, i reccomend ApkMirror

Using a modified app (Android & IOS friendly):

1. Follow the instructions from https://github.com/vendetta-mod/Vendetta
2. After the client is installed, navigate to Settings > Plugins, then click the +, and finally paste https://vd-plugins.github.io/proxy/maisymoe.github.io/strife/Experiments into the input and click Install
3. Once the experiments plugin is enabled, reload the app then go to Settings > Experiments > Tabs V2 - redesign opt-out/in for all and select Control Bucket.

Ive also heard enmity works well for IOS.

veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

dkun7944

//
//  CDView.swift
//  CD
//
//  Created by Daniel Kuntz on 7/3/23.
//

import SwiftUI

struct ShapeWithHole: Shape {

stevekrouse

declare global {
  const console: {
    log(...data: any[]): void;
    error(...data: any[]): void;
    debug(...data: any[]): void;
    info(...data: any[]): void;
    warn(...data: any[]): void;
    email(log: any, subject?: string | number): void;
  };

rain-1

The reverse turing test

I asked GPT-4 to come up with 10 questions to determine if the answerer was AI or human.

I provided my own answers for these questions and I also asked ChatGPT to answer them.

The result is that GPT-4 was able to correctly differentiate between AI and Human.

mattdesl

/**
 * General-purpose NodeJS CLI/API wrapping the Stable-Diffusion python scripts.
 *
 * Note that this uses an older fork of stable-diffusion
 * with the 'txt2img.py' script, and that script was modified to
 * support the --outfile command.
 */

var { spawn, exec } = require("child_process");
var path = require("path");

karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

tatsuyasusukida

🎵 How to record audio using the Web Audio API in JavaScript

About this article

This article describes how to record audio using the Web Audio API in JavaScript. The related resources are shown below.

• Demo
• Demo video

pixelsnafu

Volumetric Clouds Resources List

1. A. Schneider, "Real-Time Volumetric Cloudscapes," in GPU Pro 7: Advanced Rendering Techniques, 2016, pp. 97-127. (Follow up presentations here, and here.)

2. S. Hillaire, "Physically Based Sky, Atmosphere and Cloud Rendering in Frostbite" in Physically Based Shading in Theory and Practice course, SIGGRAPH 2016. [video] [course notes] [scatter integral shadertoy]

3. [R. Högfeldt, "Convincing Cloud Rendering – An Implementation of Real-Time Dynamic Volumetric Clouds in Frostbite"](https://odr.chalmers.se/hand