Donnotron666

using System;
using System.Collections.Generic;
using System.Linq;
using UnityEditor;
using UnityEngine;

namespace Editor.Utility
{
    public static class EdgeMapUtils
    {

reduz

During the past days, this great article by Sam Pruden has been making the rounds around the gamedev community. While the article provides an in-depth analysis, its a bit easy to miss the point and exert the wrong conclusions from it. As such, and in many cases, users unfamiliar with Godot internals have used it points such as following:

• Godot C# support is inefficient
• Godot API and binding system is designed around GDScript
• Godot is not production ready

In this brief article, I will shed a bit more light about how the Godot binding system works and some detail on the Godot

elesiuta

#!/usr/bin/env python3
# Conway's Game of Chess
# Copyright (C) 2023 Eric Lesiuta

import argparse
import atexit
import curses
import hashlib
import os
import pickle

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

Matthew-J-Spencer

using System.Collections.Generic;
using System.Linq;
using UnityEngine;
using Random = System.Random;

// This source code is used for the video. It obviously requires heavy alterations to be used in a real project.
public class ExampleGrid : MonoBehaviour
{
    [SerializeField] private Vector2Int _size;
    [SerializeField] private Vector2 _gap;

BrianAmadori

//
// Screen space based depth outline. No post processing setup needed.
//
// - Enable Depth Buffer on URP settings.
// - Put any geometry with this shader (like a Quad) in front of geometry. 
// - Voila.
//
// This shader is based on the work of Mirza Beig.
// https://github.com/MirzaBeig/Post-Processing-Wireframe-Outlines
//

hyperupcall

// I'm tired of extensions that automatically:
// - show welcome pages / walkthroughs
// - show release notes
// - send telemetry
// - recommend things
//
// This disables all of that stuff.
// If you have more config, leave a comment so I can add it!!

{

rain-1

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

• Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

rain-1

Does prompt injection matter to AutoGPT?

Executive summary: If you use AutoGPT, you need to be aware of prompt injection. This is a serious problem that can cause your AutoGPT agent to perform unexpected and unwanted tasks. Unfortunately, there isn't a perfect solution to this problem available yet.

Prompt injection can derail agents

If you set up an AutoGPT agent to perform task A, a prompt injection could 'derail' it into performing task B instead. Task B could be anything. Even something unwanted like deleting your personal files or sending all your bitcoins to some crooks wallet.

Docker helps limit the file system access that agents have. Measures like this are extremely useful. It's important to note that the agent can still be derailed.

kconner

macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

How to use this gist

You've got two main options: