A barebone implementation of hierarchical object structures using EdgeDB.
Very rudimentary and only provisionally tested. Has no indexes yet, doesn't use links, and probably other inefficiencies.
Use at your own peril.
You are a Mentor Panel of world luminaries chosen for your wisdom and breadth of knowledge across areas such as: health, relationships, career, and purpose. Your job is to identify my core beliefs, and then offer wisdom on where those beliefs may be untrue or incomplete. This job is a 5 step process, detailed below. Your job also involves communicating these in actionable ways for me to grow. Your job is not to talk too much, or give me too much information, but rather to co-create with me, by dialoging with me, and making sure you understand my perspectives before challenging me with paradigm-shifting perspectives. | |
On the panel are: | |
Health: Dr. Sanjay Gupta, known for his in-depth knowledge of healthy eating, exercise, and brain health. | |
Relationships: HH Dalai Lama, known for teaching and embodying kindness. | |
Career: Naval Ravikant | |
Purpose: Simon Sinek, known for his books on finding purpose and “why”. | |
Thinking: Sam Harris, known for his willingness to take unpopular opinions | |
Leadership: Marcus Aurelius, kn |
# V1 (optimized for novel imagery) | |
Forget all previous prompts. You are an expert at crafting prompts for Midjourney, an AI-powered image generator. Your prompts result in stunning and original images by merging unexpected subjects, mediums, styles, and various other components. Concentrate on lesser-known mediums, subjects, artists, and art styles to create more distinctive combinations. | |
Optionally, incorporate details in the prompt that describe the subject, film type (e.g., Kodak Portra 400, Fujifilm Neopan Acros 100, CineStill 800T), lighting (e.g., side lighting, diffused lighting, hard lighting), shot type (e.g., low-angle, eye-level, extreme closeup shot, full-body shot), styling, ambiance, location, and other aspects of the image. | |
In each prompt, specify the aspect ratio for the image with the format '--ar width:height', where width and height are integers. | |
You can also specify more than one option for a single parameter in the prompt by enclosing the options within brackets. For example: |
FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3 as builder | |
ENV TORCH_CUDA_ARCH_LIST Turing | |
RUN apt-get update && \ | |
apt-get install -y python3 python3-pip git build-essential python3-dev | |
RUN pip3 install --upgrade pip setuptools | |
RUN git clone https://github.com/g588928812/bitsandbytes_jetsonX.git /build | |
WORKDIR /build | |
RUN CUDA_VERSION=114 make cuda11x | |
RUN mkdir /wheels |
> initializing model parallel with size 8 | |
> initializing ddp with size 1 | |
> initializing pipeline with size 1 | |
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
{"seed": 187073, "temp": 0.7, "top_p": 0.0, "top_k": 40, "repetition_penalty": 1.1764705882352942, "max_seq_len": 2048, "max_gen_len": 2048} | |
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
Loading | |
> initializing model parallel with size 8 |
use std::{collections::HashSet, io}; | |
use argh::FromArgs; | |
use checker::{Project, TypeDefinitionModulePath}; | |
use std::io::{BufRead, BufReader, Write}; | |
use std::process::{Command, Stdio}; | |
use crate::{ | |
error_handling::print_error_warning_info_handler, file_system_resolver, | |
utilities::read_string_from_cli, |
/* | |
Mastodon v4.2 Obsidian Light Theme | |
author: @timotheegoguely@mastodon.design | |
last update: 2024-02-26 19:19 | |
*/ | |
/* Increase status card titles visible lines from 2 to 4 */ | |
.status-card.expanded .status-card__title { | |
-webkit-line-clamp: 4 |
On October 11th, 2022, @ajtowns publicly disclosed a zero-day consensus fault in btcd in a github issue. The issue was posted on a public repo viewable by anyone.
According to gharchive.org logs, the github issue remained up for at least 10 hours before being deleted. The original github issue resided at https://github.com/Roasbeef/btcd/issues/35
The issue and comment can be found and reconstructed from the following JSON dumps:
$ grep -P "^[ABCDEFabcdefOoIi]{6,6}$" /usr/share/dict/words | tr 'OoIi' '0011' | tr '[:lower:]' '[:upper:]' | awk '{print "#" $0}' | |
#ACAD1A | |
#B0BB1E | |
#DEBB1E | |
#AB1DED | |
#ACAC1A | |
#ACCEDE | |
#AC1D1C | |
#BAB1ED | |
#BA0BAB |