Higgenbotham's Dark Age Hovel

[aedens]

I respect your findings on limitations H.
As we seen one day it just stopped.
These dependency claims as even open border did proves it is incapable to repair
even itself. The current disaster unfolding in even the Latin zone proves what was already known.

Data Limitations: Kuznets himself warned that his data was scarce and limited to specific historical periods, cautioning against treating the curve as a universal rule.
What is allowed to be seen and what they did sealed what was done. Corrupt past any ability to inculcate the
course of repair. If the Democrats think they will triangulate the message away from what was and is
being done proves what we already know the rot has already indeed past being corrected.
Collapse is the only point they will regard since it all they infer is to delay and the easy thread to pull.
One produces the glass other breaks it and calls it profit based debt ledger.

Furthermore this comprehensive literature points out critical issues and gaps in the Environmental Kuznets Curve analysis. https://pmc.ncbi.nlm.nih.gov/articles/PMC9668524/

[tim]

https://www.collapselife.com/p/notes-f ... zation-409

Notes from the edge of civilization: June 28, 2026

In India, factory workers are training robots; the UK is criminalizing clean-ups; and Australia is paving the way for all of us to 'show our papers' online.

A new report from The Guardian describes factory workers in India being asked to wear head-mounted cameras while they sew garments, fold towels, build, sort, and perform other physical tasks. At first, some workers found the setup funny; that is until they realized they were producing training data, known as ‘egocentric data’, for the robots who would eventually replace them.

Large language models like Chat GPT and Grok were trained on huge volumes of text scraped from across the internet. But humanoid robots like the ones Elon Musk is developing need data that teaches them how to move through the real world. And increasingly that data is coming from human laborers doing repetitive, precise, underpaid work. A few weeks ago, we told you about a company called Shift that offers free apartment cleaning to New Yorkers who allow human cleaners to wear cameras while they work. The pitch: “You get a spotless apartment. We get training data.”

But just like with everything else, there’s a way to cut costs by offshoring the work. So instead of workers in New York gathering data in exchange for free housecleaning, increasingly the data is coming from garment factories, construction sites, warehouses, and informal labor markets in India, where workers already earn just a few dollars a day. Now their movements are becoming a valuable digital asset for companies racing to automate industrial work, and they get nothing in return except maybe a soft drink once in a while.

This is the next stage of the AI economy: not just stealing words, images, music, and creative work, but extracting human movement. And then eventually, humanity itself.

At any rate, the worker sells their labor once, then the recording of that labor gets cleaned, annotated, packaged, licensed, resold, and used to build systems that may eventually make the worker unnecessary. It’s the cycle of life, right?

The quote that says it all comes from Lalita, one of the garment workers profiled in The Guardian story: “We are not even getting our full worth for the work we do now. Who is going to pay us when we are replaced by robots?”

Bingo!