This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.
On March 29th, 2024, a backdoor was discovered in xz-utils, a suite of software that
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
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
| 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 |
The Logitech Options program isn't available for Linux, but by a nice guy on GitHub (PixlOne) created an open source project that lets you obtain some of that functionality. It's called logiops. It works in conjunction with the Solaar project as well, which I find especially handy since that shows your available battery life in the system tray and lets you pair/unpair devices with the Logitech Unifying Receiver.
Here are some additional pages with info that I used to generate this documentation:
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:
| # 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" |
| import numpy as np | |
| import gym | |
| def sigmoid(x): | |
| return 1.0 / (1.0 + np.exp(-x)) | |
| env = gym.make('CartPole-v1') | |
| desired_state = np.array([0, 0, 0, 0]) | |
| desired_mask = np.array([0, 0, 1, 0]) |
A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.
Nowadays lots of companies choose engines like Unreal or Unity for their games (or that's what lot of people think) because d
