Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
oofsa
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
5 ms
·
1.
▲
by
oofsa
3y ago
The current AI may improve coder performance by only 5%, but it can improve non-coders' learning speed by 1000%. Learning to code has become significantly easier because of ChatGPT, and many university students are already using it for
2.
▲
by
oofsa
3y ago
I believe the issue is not a lack of content, but the quality of the content. There are so many decks on https://ankiweb.net/shared/decks/ , including ones for Kotlin ( https://ankiweb.net/shared
3.
▲
by
oofsa
3y ago
One problem I've seen is that most addictive things, including games, either offer a diversity and discovery of content (as seen in watching YouTube videos or playing incremental games (Cookie Clicker, Candy Box!, etc.)), or foster com
4.
▲
by
oofsa
3y ago
Have you tried the latest version of Anki? Its design has become modern. From a technical perspective, a software written in Rust, Python, Svelte, and TypeScript should not be considered "very dated". The only issue I see is that
5.
▲
by
oofsa
3y ago
Cool. This may be a bit nitpicky, but most of the interactive JavaScript environments I have seen with auto-run ("evaluates as-you-type"), including this one, freeze in the following case. for (let i = 0; i < 10;|) {}
6.
▲
by
oofsa
3y ago
https://platform.openai.com/tokenizer is not for GPT-4 but GPT-3. https://tiktokenizer.vercel.app/ supports GPT-4.
7.
▲
by
oofsa
3y ago
I want that feature too, but in reality, many non-trivial extensions require the execution of binaries such as language servers. Applying capability models to these executables will require OS support or containerization, but the overhead f
8.
▲
by
oofsa
3y ago
You may already know this, but Pyright and Pylance are the same thing. "Under the hood, Pylance is powered by Pyright," https://marketplace.visualstudio.com/items?itemName=ms-pytho... I've been using Pylance
9.
▲
by
oofsa
3y ago
I thought they had only applied the technique to 307,200 neurons. 1,000 / 307,200 = 0.33% is still low, but considering that not all neurons would be useful since they are initialized randomly, it's not too bad.