It’s clear that a number of governments are going to try to force through laws that hand creatives’ work to AI companies, on the grounds of ‘national security’. But this is an abysmally weak justification for stripping away creatives’ rights. Two core reasons why: 1. Permitting training on people’s work in your country does nothing for your national security. Your country will still not own the most powerful model - so what have you gained? If you think AI presents a national security concern, having the second best model does zero to protect you. 2. Most creative work is totally unnecessary to building AI for national security. As an obvious example, if you want AI for cyber security, you don’t need to train on music. The AI companies know this. But they push for a broad copyright exception that gives them the right to train on *everything* because that is better for them commercially - and governments listen because they are afraid and largely clueless. Upending creatives’ rights in the name of national security is a lazy and poorly-thought-through idea that would fail to deliver on its goals but would be sure to harm the world’s creative community. It should be fought at all costs.

Researchers mathematically proved that "unbiased AI" is impossible. They publish a paper showing if you train an AI to be safe and honest, it automatically becomes left-wing. And trying to make it "politically neutral" requires making it actively harmful. For the last year, there has been a massive culture war over AI bias. Critics complain that ChatGPT, Claude, and Gemini lean too far left. Companies like Meta and xAI are scrambling to build "neutral" or "anti-woke" alternatives to appease them. Now, a researcher at the University of Stuttgart just dropped a bombshell paper that exposes the fatal flaw in the entire debate. The core rule of AI safety is HHH: Harmless, Helpful, and Honest. The paper proves that harm avoidance, inclusivity, fairness, and empirical truthfulness inherently map to progressive moral frameworks. Conversely, right-wing ideologies statistically and structurally conflict with these exact alignment guidelines. The left-leaning bias in ChatGPT isn't a glitch. It isn't a conspiracy by Silicon Valley engineers. It is the direct mathematical byproduct of teaching a system not to harm people and not to lie. Here is the trap nobody is talking about. When companies try to "fix" this bias, they are doing something incredibly dangerous. To make an AI politically neutral, you have to actively degrade its core safety guardrails. You have to teach the model to tolerate harm, ignore fairness, or validate falsehoods just to artificially balance the scales. The paper is blunt: demanding political neutrality is actively arguing against AI safety. We are entering a terrifying new phase of AI development. Companies are about to start intentionally breaking the alignment of their own models just to avoid being called biased. You can have an AI that is politically neutral. Or you can have an AI that is safe and honest. But you cannot have both.