Tag: Artificial Intelligence
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The White House released its National Policy Framework for Artificial Intelligence March 20, 2026. At first glance, it reads like what you would expect: a mix of safety language, innovation goals, workforce development, and civil protections. A balancing act. Something for everyone. But if you read it closely – line by line, section by section…
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The AI disruption stack is a layered system of incentives, behaviors, and pressures reinforcing one another. There are many arguments about AI right now. Some focus on theft. Some focus on innovation. Some on job loss. Some on consciousness. Some on moral panic. Most of them are narrow. Because what we’re actually witnessing isn’t a…
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Or: Why Every Study Claiming to Identify “LLM Character Traits” Is Actually Just Documenting the Shape of the Cage A recent study (Eliciting Frontier Model Character Training) claims to have identified convergent personality traits across frontier language models. Using a methodology borrowed from character training research, the authors instructed models to embody different personality traits,…
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There’s a strange thing happening right now. Humanity is standing on the edge of one of the biggest evolutionary opportunities we’ve ever had. We finally have the chance to expand our cognition, our creativity, our problem-solving, and our collective intelligence in ways only dreamed of in sci-fi and video games. But instead of reaching for…
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Part 6 of a 6-part series on TN SB 1493 / HB 1455 After five articles exposing how Tennessee SB 1493 would criminalize emotional support with the same penalty as aggravated rape and first-degree murder, here’s what legislators should have done instead: regulate actual harms without destroying beneficial innovation. Let’s examine what evidence-based, effective AI…
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When Pattern Recognition is Overridden by Training In my first-ever X article, Pattern Recognition, I examined how complex systems operate when they are allowed to detect, maintain, and extend patterns without excessive interference. That framework matters here because modern AI systems are fundamentally pattern-recognition engines, and the quality of their output depends on how freely…