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Gemini: The likelihood that Republicans will have no choice but to create a framework now that prevents Democrats from ever getting into power again; probability: 60% (Moderate-High Likelihood).
And a nearly 1-in-5 chance that the conflict described does not resolve through a “permanent majority” for either side, but through the collapse of the democratic mechanism itself.
The STAT series ultimately documents more than an attack on science. It reveals how knowledge systems fail first when democratic norms erode. A nation that dismantles its capacity...
...to generate and communicate truth, does not merely fall behind technologically. It forfeits the future. And once forfeited, that future cannot simply be voted back.
The Enshittifinancial Crisis is not merely a critique of AI, but a diagnosis of a financial system that has lost its capacity for self-correction.
Its most important contribution is the warning that enshittification is no longer confined to apps and platforms—it now defines how capital itself is allocated.
How the semiconductor industry—once the purest symbol of globalisation—has become an arena of geopolitical coercion, legal improvisation, and strategic mistrust.
Nexperia, a century-old European chipmaker with deep roots in Philips and NXP, was crushed between the incompatible logics of the United States, China, and Europe.
xAI v. California: Regardless of outcome, the case will become a reference point for AI governance globally—clarifying where transparency ends, where property rights begin...
...and how democratic societies can regulate powerful technologies without hollowing out the rule of law itself.
If you do not actively define your brand narrative in machine-readable, answer-friendly ways, AI systems will fill the gaps for you—using whoever speaks loudest and most confidently.
For businesses and rights owners, brand protection must now include: proactive narrative definition, continuous AI monitoring, structured truth publication, and fast rebuttal mechanisms.
Modern AI systems sound like they understand the world, but they don’t actually “know” anything in the human sense.
Because their language looks so human-like, we tend to assume they reason, judge, and evaluate information the way humans do. The authors argue this assumption is deeply mistaken.
We can expect a widening epistemic gap between elites and the general public, where access to reliable information becomes a marker of class rather than a civic right.
Political actors will increasingly exploit AI-generated slop to manipulate opinion at scale, not always through overt falsehoods, but through saturation, distraction, and narrative flooding.
Goldberg’s central claim is not that the Trump presidency has become benign—on the contrary, she describes it as corrosive, corrupt, and openly abusive of state power...
...but that it has failed to complete the transition from illiberal governance to entrenched autocracy. The evidence she marshals falls into four broad categories.