The way I like to phrase this sentiment is "This guy is the training data."

This small part is what makes broken people. Whoever reads this, go have fun! :)

You know what? I think I will.

People with more dollars get more votes

s/People/Advertisers/

> People want dopamine hints, gamification, addictive distractions, and a culture of competitive perma-hustle.

The people yearn for the casino. Gambling economy NOW! Vote kitku for president :)

PS. Please don't look at the stock market.

Reminds me of the protest in the Shenanigans and Gimmicks part of this project: https://gre-v-el.github.io/Dimensional-Calculator/

How is a Turing-passing AI useful?

Books where you can read more about this: The Society of the Spectacle by Guy Debord (Have read - is weird, but relevant and recommended) Simulacra and Simulation by Jean Baudrillard (Haven't read - scared of it, probably bearly relevant)

These are mostly irrelevant. Debord is totally narrative, it's worthless. Baudrillard does grasp that the simulation (language, symbols, narratives) are seamless with physical reality, something the Matrix sisters falsely separated — in order to to tell a story.

This reminds me of the Nepenthes tarpit [1], which is an endless source of ad-hoc generated garbled mess which links to itself over and over.

Probably more effective at poisoning the dataset if one has the resources to run it.

[1]: https://zadzmo.org/code/nepenthes/

I'm running Iocaine[1] which is essentially the same thing on my tiny $3/mo VPS and it's handling crawlers bombarding the honeypot with ~12 requests per second just fine. It's using about 30 MB of RAM.

[1]: https://iocaine.madhouse-project.org/

Odorless, tasteless, and among the more deadly poisons known to crawlers!

Unfortunately they will spend the next several years building up an immunity.

Do we know if LLM scrapers are running JavaScript on the pages? If they are, maybe it's worth offloading the Markov model to the client side.

There is a distinction I believe between challenging and focusing. The difference lies in difficulty (the former being more dificult) and workload (the latter being more intellectualy labor intensive), which is an interesting approach to intellectual menial labor as distinct from intellectual craft.