No one wins in the long run by creating technical solutions to human incentive problems. It is just a prolonged arms race until
* the incentives are removed
* the process is made so technically complex or expensive that only a few players can profit from them
* it is regulated such that people can make money doing other things which have better risk/reward
* most people just avoid the whole ecosystem because it becomes a cesspool
Step 1: Punish ranking and visibility of sites whose llms.txt differs from a random sampling of actual web (HTML) content.
Step 2: There is no step 2.
But maybe this time the naive technical solution will work
You, me, LLMs, Google, humanity, Earth, Sol...
We can choose to carry on and perform [what we think are] improvements and make the best of it, or we can choose to cash it in early and simply give up.
1. Figure out how to embed content that only LLMs see which affect their output
2. Wait for that to stop working
3. Innovate another way to get past new technical problem
It looks like its text meant to be fed into the llm as a system prompt specific to the site.
The most simple ones just look like a sitemap restricted to documentation: https://www.activepieces.com/docs/llms.txt
Some interesting stuff is in some of them. Like this one that prompts the LLM to explain to the user the ethical issues of using AI agents along with a disclaimer:
That site appears to be someone's blog and they don't seem like big fans of LLMs.
https://boehs.org/node/llms-destroying-internet
A pretty clever use of llms.txt.