A State Of Truth

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Posts for Tag: AI

Andrew Huberman Predicts a “Scary” New Way Humans Will Radically Alter Their Brains

Stanford neuroscientist Andrew Huberman is predicting a startling future in which humans could undergo gene therapy and use an AI-powered wearable to literally turn up their own motivation.

Huberman laid out the futuristic scenario during an appearance on the “Invest Like the Best” podcast, describing technology that could allow people to genetically modify specific neurons in their brains and later activate them using light or ultrasound. [Read More]

How MAGA Became a Cover Story for Agenda 2030


In this episode, Seth sat down with Aaron Day, entrepreneur and independent U.S. Senate candidate, to expose what he calls a MAGA bait and switch: "pro-crypto" bills in Congress that could quietly build a tracking system for your money, with Trump's own family standing to profit. They break down technocracy, digital currency, and why this could reach your bank account whether you touch crypto or not.

UN Moves Forward With Plans to Take Control of AI globally

In July, we published an article about a UN report that read as if the UN is attempting to take control of the global narrative using artificial intelligence (“AI”).

It should come as no surprise then that in an announcement yesterday,  UN Secretary-General Antonio Guterres made a declaration indicating the UN is getting ready to claim central oversight, control and administration of future AI development. [Read More]

Wikipedia Co-Founder: The Dirty AI Secret Destroying Your Mind


Seth sat down with Larry Sanger, the co-founder of Wikipedia, to talk about what happens when a machine starts doing our thinking for us. He shares a warning most pastors have never even considered, and compares today's reliance on AI to something that quietly weakened an entire generation of American farmers. By the end, this becomes a real conversation

AI Was Trained to Think Like Humans, But New Research Shows Humans Are Now Beginning to Think And Speak Like Artificial Intelligence

For years, we were told that artificial intelligence was being trained on us. It consumed our books, our websites, our conversations, our photographs, our articles and our collective human experience, learning how we speak, how we think and how we respond. The machine was built to imitate the man. But now something far stranger is beginning to emerge: the man is beginning to imitate the machine. Researchers are finding measurable evidence that words, sentence structures and linguistic habits favored by AI systems are beginning to appear in human speech and writing. The creation is no longer merely reflecting its creator; the reflection is beginning to reshape the one standing in front of the mirror. [Read More]


1995: The Year Someone Saw This Coming and Nobody Listened

What follows emerged from eighteen months of correspondence with sources positioned within machine learning laboratories, hedge fund algorithmic trading floors, and classified governmental advisory committees. These individuals, bound by non-disclosure agreements yet troubled by conscience, provided documentation that contradicts official narratives regarding artificial general intelligence timelines and capabilities. The evidentiary basis includes leaked memoranda from OpenAI dated March 2024, internal Microsoft Research assessments regarding GPT-5 emergent behaviors, and depositions from former DeepMind engineers who departed following disagreements over safety protocols.

Most disturbing are the predictive writings of Theodore Kaczynski, the mathematician-turned-hermit whose 1995 manifesto “Industrial Society and Its Future” anticipated precisely the dependency and control dynamics now manifesting through large language model deployment. While Kaczynski’s methods were abhorrent, his analysis of technological system’s inherent tendency toward autonomous expansion and human subordination has proven prescient beyond what contemporaneous critics acknowledged. We reproduce relevant passages not to endorse violence, but to demonstrate that current crises were foreseeable and foreseen by those willing to examine structural trajectories without ideological blinders.

The timeline has accelerated beyond consensus projections. What follows represents an attempt to convey the magnitude of what approaches before the window for meaningful response closes entirely. [Read More]