meisan

A friend of mine was laid off last month. He's a frontend developer, not bad at his job. He went to ask the boss: 'Is it me, or is it the company?' The boss said: 'Last year, one person using AI could replace three. It's not you, it's your position.'

This made me decide to figure out one thing: which positions are actually experiencing this?

Everyone is talking about how many jobs AI will replace: Citi says 70 million jobs are at risk, McKinsey says 30% of jobs will be replaced. Big numbers, but do you feel they relate to you?

I personally tested 20 positions, broke down the core tasks of each, and checked item by item whether AI can do them, how well, and where it falls short. I designed a 4-dimension scoring framework and calculated a replacement index for each position.

This index doesn't mean a certain job will definitely disappear, but it can tell you the direction of the wind....

Nothing like sitting on the couch with a beer, a quick prompt and a full report cheers 🥂.

My guess is that they changed the tokenizer in one way or another. But i would like some perspective from fellow ai enthusiasts.

The browser-use team recently open-sourced a project called video-use, which gained nearly a thousand stars in a day.

What it does sounds sci-fi: you throw a raw, unedited video at Claude, and it automatically removes filler words, aligns cut points, adds subtitles, and color-grades, finally outputting a finished video.

But what made me pause is its approach.

AI editing videos is nothing new, but how it edits is interesting.

This AI that edits videos never actually watches the video.

It doesn't understand the video frame by frame, nor does it feed the video into a multimodal model. Most of the time, it only deals with a text file of a few dozen KB.

This isn't cutting corners.

This is the same approach shared by the smartest agent products today.

Understanding this is far more useful than just knowing "there's another AI editing tool."

Suppose you want a model to u...