Karl Kwon

[Karl Kwon @karlkwonphd]

9987 deletions by Opus 4.8

[Andrej Karpathy @karpathy]

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

[Karl Kwon @karlkwonphd]

Sony PlayStation 1994

[Karl Kwon @karlkwonphd]

Who remembers those? Sony

[Karl Kwon @karlkwonphd]

I just published I applied to 100+ jobs in 6 months. Here’s how AI is changing the software engineering interview. https://t.co/ymTsHjShEG

[Karl Kwon @karlkwonphd]

@AIatMeta 첫번째 제품부터 눈속임이나 하고, 신뢰할수 없는 기업이 되어가고 있는 meta!

[Karl Kwon @karlkwonphd]

@CodeWithAmann @Cloudflare this!

[Karl Kwon @karlkwonphd]

AI 때문에 코딩을 안 할 거라는 이야기가 많았지만, 직접 코딩하는 건 안 하더라도 터미널이나 IDE에서 사람의 언어에 가까운 언어로 코딩하는 모습을 오히려 더 중요해진 것 같다는 생각이 듭니다.

코딩 언어가 Python이나 TypeScript에서 우리의 언어, 인간의 언어로 진화한 것 같습니다.

[Karl Kwon @karlkwonphd]

Whether you're job hunting, watching the market, or just curious #layoffs2026 #metalayoffs https://t.co/3OUFuzb6I7

[Karl Kwon @karlkwonphd]

On March 24, 2026, Meta will announce another round of layoffs.

https://t.co/O283HKdYtQ

[Karl Kwon @karlkwonphd]

I just published Amazon Audible Interview Experience (L6 Senior SDE): The Art of the Leadership Principles &amp; System… https://t.co/vVGFdj2KF9

[Karl Kwon @karlkwonphd]

I’m curious to know why they chose sunglasses. Do they think they’re kind of superheroes in a movie?

NVIDIA GTC 2026.

[Karl Kwon @karlkwonphd]

@justbyte_ https://t.co/LQOiOzWwIE

[Peter Walker @PeterJ_Walker]

A universal truth: most radar charts should just be bar charts.

Love your stuff, Anthropic!

[Karl Kwon @karlkwonphd]

@koreadataportal 좋은 방향입니다!!

[Karl Kwon @karlkwonphd]

Jan &amp; Feb are historically the worst months for tech layoffs 📉

Our data shows:
📌 Jan: 154,537 laid off
📌 Feb: 155,733 laid off

That's 2-3x higher than any other month.

2026 is tracking the same pattern.

👉 https://t.co/GY2sRYizLG

#layoffs #dataviz

[Karl Kwon @karlkwonphd]

AI opportunities to be a unicorn.

Half the AI Agent Market Is One Category. The Rest Is Wide Open. https://t.co/sg5MQXvIsA

[Karl Kwon @karlkwonphd]

https://t.co/O283HKewjo

🔴 Which state owns the tech layoff crisis?

SF Bay Area, NY, and Seattle account for
70% of all US tech layoffs since 2020.

Explore the full breakdown by state, company &amp;
timeline → [link]

Built an interactive tracker so you don't miss
the data 📊

[Karl Kwon @karlkwonphd]

I was asking Google Gemini to build a multi-agent system together. Gemini said, Let’s collaborate on this project. The first step is to have the OpenAI API. @Google @GeminiApp @OpenAI

[Karl Kwon @karlkwonphd]

Hudson River frozen https://t.co/NQZqQErYMq