Honestly it's a bit of a shame. I checked and they could've shortened their base64 payload by 304 chars by removing all comments except the top two congratulatory ones, or by 524 if they removed those too.

Human could write that many comments to get enough base64 text for a design. Maybe to even get some of the highlighted characters in places they want (roughly equally spaced apart).

Ahem...

My code usually clocs at 50/50 (or thereabouts)[0]. Has, since my very first real engineering project (in 1987)[1]. I discuss in detail, here[2].

But one reason that I like LLMs, is that they help me to write even more documentation. I have found that I can instruct an LLM to revise my documentation, and make it even more effective.

[0] https://github.com/ChrisMarshallNY (My GH profile. Pretty much everything there, is like that -has, since long before LLMs were a broken rubber on the drug store shelf).

[1] https://littlegreenviper.com/wp-content/uploads/2022/07/TF30... (Downloads a PDF)

[2] https://littlegreenviper.com/leaving-a-legacy/

> No humans write that many comments.

Especially in a case like this, I would definitely write a lot of comments to aid in understanding, thus increasing trust so people would try it out and tinker with it.

It's at least the second one that Akamai's done, although I like this newest one the most.

The old one was: https://www.uniqlo.com/us/en/products/E459561-000/00

I think this is a case where two people can successfully complete the task manually faster than one attempting to automate it. Get a ruler, read five centimetres of characters to your colleague, have them repeat that five centimetres back to you, correct as you go. Trial-and-error adjust the five-cm distance depending on your success rate as you go along.

All in, you should have a non-corrupted string in 10-15 min.

Thank you for spelling it out for me because I thought I was looking at a completely hallucinated AI article...

it doesn't seem to be installed on my endeavouros laptop