THIS GIST WAS MOVED TO TERMSTANDARD/COLORS
REPOSITORY.
PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!
THIS GIST WAS MOVED TO TERMSTANDARD/COLORS
REPOSITORY.
PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!
This is an initiative to create an overview of the issues found with the Creality CR-6 SE.
As of this writing (2020-09-19) the large number of the motherboard issues have not been publicly acknowledged. Hopefully this overview forces Creality to acknowledge the issues with the Creality CR-6 SE leveling free 3d printer.
According to Creality all issues should be resolved in the newer models:
Here are the improvements we did as below:
#!/usr/bin/python | |
# Connects to servers vulnerable to CVE-2014-0160 and looks for cookies, specifically user sessions. | |
# Michael Davis (mike.philip.davis@gmail.com) | |
# Based almost entirely on the quick and dirty demonstration of CVE-2014-0160 by Jared Stafford (jspenguin@jspenguin.org) | |
# The author disclaims copyright to this source code. | |
import select |
Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.
Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We
Audience: I assume you heard of ChatGPT, maybe played with it a little, and was impressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.
Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labor costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We
tell application "Google Chrome" | |
repeat with w in (windows) | |
set i to 1 -- tabs are one indexed | |
repeat with t in (tabs of w) | |
if URL of t starts with "https://meet.google.com" then | |
tell tab i of w | |
-- These selectors may be unstable, but seem to work well now | |
execute javascript "document.querySelectorAll('[data-is-muted]')[1].click()" | |
set muted to (execute javascript "document.querySelectorAll('[aria-label=\"Turn on microphone (⌘ + d)\"]').length === 1") | |
if muted then |
#!/usr/bin/python | |
## License: CC0 | |
## Author: Marco Goetze | |
## Web: http://solariz.de | |
## Version: 1.2 | |
## DIZ: | |
## Little Helper Script for Linux to make my KeePass Copy and Paste cooperate again with | |
## Chrome Browser. | |
## You need to have the latest keepass version and XSEL installed. | |
## Tested with: |
#cloud-config | |
# Set the hostname for this machine (takes precedence over hostname assigned by DHCP lease). | |
hostname: myhost | |
# Authorize SSH keys for the `rancher` sudoer user | |
ssh_authorized_keys: | |
- ssh-rsa AAA...ZZZ example1@rancher | |
; | |
; the "monitor ROM" of an apple 1 fit in one page (256 bytes). | |
; | |
; this is my attempt to take the disassembled code, give names to the | |
; variables and routines, and try to document how it worked. | |
; | |
; | |
; an apple 1 had 8KB of RAM (more, if you hacked on the motherboard), and a | |
; peripheral chip that drove the keyboard and video. the video was run by a | |
; side processor that could treat the display as an append-only terminal that |
# 2020-11-9: Solved in recent Ubuntu updates, not needed anymore, only for historical purposes available. | |
# | |
# Script to disable USB-C PD controller with nuc10 | |
# See: https://community.intel.com/t5/Intel-NUCs/NUC10i3-IRQ-problem/td-p/669863?profile.language=it | |
# https://bugs.launchpad.net/ubuntu/+source/linux/+bug/1883511 | |
processActive=$(pgrep -l irq/65-i2c-INT3 | wc -l) | |
if [ "$processActive" -gt "0" ]; then | |
echo "stopping USB-C PD controller" |