194. Sunset Glow 中
The cover photo was taken a few days ago. The sunsets in Hangzhou have been beautiful lately, and luckily it’s not as hot anymore. A bit of breeze makes walks very comfortable.
Record the down-to-earth trending technologies seen every week, and publish them here after screening. If you find it good, you can follow this weekly to get update notifications.
Random Thoughts
Talking about future technology trends
https://tw93.fun/2024-09-09/future.html
A recent team share based on my understanding of AI, investment, and next-gen technology. I’ve synthesized reports, papers, and financial statements. Use GPT if you encounter unknown terms. Hope you enjoy it, but please don’t invest based on this unless you understand the market; the risks are high.
Trending Tools
Pake: Easily build desktop apps from webpages with Rust
https://github.com/tw93/Pake
Recently released V2.6! It now supports setting languages for Windows builds, running with Docker on Linux, adding titles for Linux and Windows apps, optimized external link handling, and forced dark mode on Mac. Give it a spin!
Silhouettify: One-click Image to ASCII Silhouette
https://meatfighter.com/ascii-silhouettify/spa/index.html#/
This image-to-ASCII silhouette tool is absolutely amazing—very pleasantly surprised. You can upload any logo and generate a pure symbol-based result in one click. The details look great when zoomed in.
GlobalPing: Check your website’s global network connectivity
https://jsdelivr.com/globalping
When you need to ping your site from around the world, try this tool from jsdelivr. It supports ping, http, dns, and other test types.
Landsat: Find your name’s letters in satellite imagery
https://landsat.gsfc.nasa.gov/apps/YourNameInLandsat-main/index.html
A fun tool where you enter your initials, and it finds satellite images that look like those letters.
Just Looking Around
Video Lecture: Building Large Language Models
https://youtube.com/watch?v=9vM4p9NN0Ts
Stanford’s CS229 Machine Learning has a new introductory lecture “Building Large Language Models” that is definitely worth watching.
Ryuichi Sakamoto’s “How Many More Times Will I Watch the Full Moon Rise?“
https://book.douban.com/subject/36361860/
Reading this book while listening to his piano music at home—elegant people are elegant everywhere.
