Very well put. I would like to add a less-eloquent epilogue to the story.
This curious animal was laid bare by the discovery that we are hackable by nature, and hacked by behaviour science. Though it took a few decades to get going, the understanding of how to influence motivation and decision-making is now very mature.
In order to arrive at this understanding, you need data, and lots of it. The social media platforms have performed the function of data aggregators and testing grounds for algorithmic control. But it was not the tech companies who came up with plans, only the tools to put them into practice.
The culprits, though they operate in shade, are generally non-partisan and understand that divide-and-conquer has always been an effective strategy. These people sometimes work in intelligence bureaus, but not always. They are, however, always known to those agencies. After all, you do not need to know you are an asset to be an asset.
The algorithms, necessarily kept as protected IP, are statistical engines that profile and predict, producing probabilistic outcomes and estimates. Before LLMs, one might have argued "but how can probabilistic algos really produce something meaningful?", now I would think people might have a different take, if they could see the layers and weights.
An emperor used to need an army, and this is what replaces it for non-violent insurrection and domestic control. Many will even state their ambitions publicly, and sometimes (though less frequently these days) their procedure. What they are doing is not strictly illegal, because the law gives "sovereignty" to a person's choices, without recognition that their choices might not be their own. Libertarianism has played right into their hands, in this sense.
A masterpiece, not only of conception, but also social engineering, with a technological endoskeleton built on the aggregated data we all willingly give them. All information feeds the machine, just as every financial transaction cements the central bank's authority.
This curious animal was laid bare by the discovery that we are hackable by nature, and hacked by behaviour science. Though it took a few decades to get going, the understanding of how to influence motivation and decision-making is now very mature.
In order to arrive at this understanding, you need data, and lots of it. The social media platforms have performed the function of data aggregators and testing grounds for algorithmic control. But it was not the tech companies who came up with plans, only the tools to put them into practice.
The culprits, though they operate in shade, are generally non-partisan and understand that divide-and-conquer has always been an effective strategy. These people sometimes work in intelligence bureaus, but not always. They are, however, always known to those agencies. After all, you do not need to know you are an asset to be an asset.
The algorithms, necessarily kept as protected IP, are statistical engines that profile and predict, producing probabilistic outcomes and estimates. Before LLMs, one might have argued "but how can probabilistic algos really produce something meaningful?", now I would think people might have a different take, if they could see the layers and weights.
An emperor used to need an army, and this is what replaces it for non-violent insurrection and domestic control. Many will even state their ambitions publicly, and sometimes (though less frequently these days) their procedure. What they are doing is not strictly illegal, because the law gives "sovereignty" to a person's choices, without recognition that their choices might not be their own. Libertarianism has played right into their hands, in this sense.
A masterpiece, not only of conception, but also social engineering, with a technological endoskeleton built on the aggregated data we all willingly give them. All information feeds the machine, just as every financial transaction cements the central bank's authority.