> Claude Code and I spent months on the cat-and-mouse.

To me this a tell of AI - it should read "cat-and-mouse game."

I think AI sees the cat and mouse as individual objects joined together with a hyphen rather than knowing it's a type of game.

I would not call it bubbly; more like 1960s-noir-pulp-fiction-rugged-detective style. Anyway, could be fixed, to some extent with proper prompting.

I read the first few paragraphs and the stench of AI made me stop. Each to his or her own.

Boring is subjective. I like the article but was boring AF.

The tell.

[flagged]

Prior to LLMs, I've rarely seen such headings when reading blogs, but now they are everywhere.

From the article:

> A kiosk that kept dying

> “It’s my device”

> Reality television

> The grind

> The relief pitcher

This is one of the giveaways for me.

I also had the feeling that it's AI written but not everything appeared that way. I checked it with Pangram and GPTZero and both returned with a verdict of a mix of AI and human writing. Pangram thinks it is about 50-50.

No, the writing style is clearly AI.

I enjoyed the content nonetheless.

It's heavily written with AI. Very painful to read.

> One breath: the use-after-free let us free memory the kernel still used. Winning a race let us reclaim it with controlled data.

It's more like, don't eat ice cream cos they taste stale or wrong. You are not forced to eat or read things you don't like/enjoy. And that's why most of us reads the articles or eat ice cream.

Especially when you can have someone (AI) summarize it.

Part of it is bit natural too, a human authored content has its own asymmetries to keep it interesting. LLM generated content is way too verbose and kind of lacks that factor.

Nevertheless, it was interesting experiment, also a bit dangerous reality how people are using LLMs. Just flip the context from user trying to root their own device to some one else's device.

Blogs like the one that is linked are almost entirely an entertainment medium disguised as an informational learning lesson. We already know LLMs are pretty good at security exploits, just like we already know they are pretty good at writing typical code.

Because it is an entertainment medium, the voice of the messenger is the only thing that matters and every current LLM has a boring, annoying voice. If you aren't telling us something new you better be telling us something in an entertaining fashion.

You can just run it through another slopatron to reduce it to the key points.

It's the writing style of AI. It's quite problematic for a lot of people.

I often really want to read articles, but the minute is encounter claude-speak, I (a) either leave (90%+ of the time) or (b) ask another AI to rewrite it using simple english or in a style of another writer in that space (yes, I know, it's ironical).

Just hard to read AI-ism.

The load bearing fact is it's not the content, or the originality, or the perceived lack of effort, it's reading the same trope for the 10000th time, and experiencing something akin to ad-blindness.

The issue isn't with using AI for finding an exploit, it's with using an AI to write up the article for human consumption about it.

The writing style was boring I also stopped reading halfway through esp after I read that a similar tablet had already been rooted in the past and documented online using the same exploit the AI successfully used