Links for January 28th

28 Jan 2023

Here are some links I found interesting this week.

So, Why Not the Coin? - by Josh Barro - Very Serious

What Do ChatGPT and AI-based Automatic Program Generation Mean for the Future of Software | blog@CACM | Communications of the ACM

Large Language Model: world models or surface statistics?

Richat Structure - Wikipedia

imaginAIry/README.md at master · brycedrennan/imaginAIry

Lunar - The defacto app for controlling monitor brightness

Entropy | Fraser | Substack

Geomagnetic reversal - Wikipedia

(1) What Ancient Civilizations Said About Giants Existing on Earth… - YouTube

My Advice to the Young • The Worthy House

My highly personal skepticism braindump on existential risk from artificial intelligence.

1min high-intensity exercise 3x a week improves fitness as much as 3x aerobics | Hacker News

Sayak Paul on Twitter: "Fine-tune Stable Diffusion in T4/V100 on a custom image-caption pairs' dataset 🧨 🔥 => memory efficiency This is enabled by LoRA. With LoRA, the fine-tuned checkpoints are just **3 MBs** in size 🤯 => portability Know

Call of the Void: Seven years on, what do we know about the disappearance of Malaysia Airlines flight 370? | by Admiral Cloudberg | Medium

#18: Pokémon & Society - snav’s digest

Honeytime - by 🐝 H̶armless AᎥ🐝 - 🐝 HarmlessAi 🐝

facebook/fastspeech2-en-ljspeech · Hugging Face

[2106.09685] LoRA: Low-Rank Adaptation of Large Language Models

[Guide]Linux Install Guide: Installer Method - Faceswap Forum - The place to discuss Faceswap and Deepfakes

Approximating KL Divergence

Using LoRA for Efficient Stable Diffusion Fine-Tuning

Can ChatGPT be your BFF code companion? | by Venu Vasudevan | Jan, 2023 | Medium

An Opinionated Guide to ML Research

Big Ideas in Applied Math: Low-rank Matrices – Ethan Epperly

Just know stuff. (Or, how to achieve success in a machine learning PhD.) · Patrick Kidger

[2202.02435] On Neural Differential Equations

Pixelblog - 16 - Medieval Fantasy — SLYNYRD

AK on Twitter: "On the Importance of Noise Scheduling for Diffusion Models sota pixel-based diffusion models for high-resolution images on ImageNet, enabling single-stage, end-to-end generation of diverse and high-fidelity images at 1024×1024 resolution

mindslab-ai/univnet: Unofficial PyTorch Implementation of UnivNet Vocoder (https://arxiv.org/abs/2106.07889)

facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.

TorToiSe - Spending Compute for High Quality TTS - Google Docs