Space AudunVN

PhotoPrism, LibrePhotos, Damselfly, and Immich

I chose to compare PhotoPrism, LibrePhotos, and Damselfly, because they seemed like the strongest freely available candidates for a large library of photographs.

I am mostly interested in face clustering (DBSCAN) and other "AI" capabilities like auto-categorization. Import speed is not as important to me as "playback" speed. I don't mind if it takes a few days but once everything is indexed and processed then it should be fast to explore everything.

The dataset that I used for this comparison was under 22GiB but over 750,000 images. Mostly AVIF files but some PNG and some JPEG.

Ease of installation

Reverse Engineering on macOS

Some notes, tools, and techniques for reverse engineering macOS binaries.

ChatGPT Resources

Context

ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?

I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.


	- Always enforce preferences on the `qvm.prefs` module: many times I see
	`label` only in `qvm.present`, which is only run on creation of the
	qube, not when it already exists. The `qvm.prefs` module is checked
	everytime even if the qube already exists. I think label should be
	enforced not let for the user to modify and then later the state
	ignore the label change, but of course I don't know your internal
	policy about this matter and I might be wrong depending on it.

	- Do not specify literal names as the `source` value of `qvm.clone`,

	#include <stdint.h>
	#include <stdio.h>
	#include <string.h>
	#include <unistd.h>
	#include <math.h>

	#define debug(...)
	//#define debug printf

	// torus radii and distance from camera

	def printen(string):
	print(string, end="")
	def printanimatestaggered(string,animation,stagger):
	i=0
	printen(f'''<div style="background:black; margin:-2em -1em;padding: 2em;color:white;animation-name:{animation};animation-duration:0ms;animation-iteration-count:1;animation-timing-function:step-end;display:inline-block;animation-fill-mode:both;font-family:monospace;">''')
	printen('''<div style="display:inline-block;animation:inherit;">''')
	for char in string:
	i+=1
	if char ==" ":
	printen('''</div> <div style="display:inline-block;animation:inherit;">''')

	/*
	Copyright 2021 Andrew Sillers <apsillers@gmail.com>

	Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

	The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

	THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE

	#!/usr/bin/env python3

	def printen(strr):
	print(strr, end='')

	adventure = [
	'''welcome to the <b>choost adventure engine!</b>

	would you like to play a game?''',
	{