

Why not release them?


Why not release them?


Maybe MTG actually has some moral convictions that are leading to her breaking from the traditionalists on these issues
Other way around, she’s breaking up with the NRX/dark enlightenment faction (the technologists) as the traditionalists don’t want a surveillance state.
The goal seems to be oust Trump and replace him with JD Vance. I’ll cheer this administration eating itself alive, but I will also call out this “maybe they’re not so bad” complete horseshit narrative every time I see it.
This is absolutely what is happening, Trump is basically a figurehead who’s beholden to a bunch of people unlike in 2016.


Really all what Trump needs to do is to keep the AI bubble afloat until next year, if it crashes before then his administration is toast.


They didn’t, in their eyes all of this is “revenge” for for the 2020 riots and woke. That all being said, I do think the government is employing Strategy of Tension in order to make the masses screech for a surveillance state.


…you are in a technology community? They’re barely defending anything either, just a reasonable take about people saying the same thing about earlier technologies.


The people the paper talks about are the masses who think LLMs are “intelligent”, then outsource their frontal lobe to Silicon Valley datacenters because it’s seemingly easier. People who see LLMs as tools are much less (if at all) affected by this, if anything it’s a trap for people who already have lower critical thinking skills in the first place and want GPUs to think for them.


Microsoft reported the same findings earlier this year, spooky to see a more academic institution report the same results. https://www.microsoft.com/en-us/research/wp-content/uploads/2025/01/lee_2025_ai_critical_thinking_survey.pdf Abstract for those too lazy to click:
The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices. We survey 319 knowledge workers to investigate 1) when and how they perceive the enaction of critical thinking when using GenAI, and 2) when and why GenAI affects their effort to do so. Participants shared 936 first-hand examples of using GenAI in work tasks. Quantitatively, when considering both task- and user-specific factors, a user’s task-specific self-confidence and confidence in GenAI are predictive of whether critical thinking is enacted and the effort of doing so in GenAI-assisted tasks. Specifically, higher confidence in GenAI is associated with less critical thinking, while higher self-confidence is associated with more critical thinking. Qualitatively, GenAI shifts the nature of critical thinking toward information verification, response integration, and task stewardship. Our insights reveal new design challenges and opportunities for developing GenAI tools for knowledge work.
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