Rather than government regulation, market forces will address AI bias. As studies reveal biases in models from OpenAI and Google, competitors like Elon Musk's Grok can market their model's neutrality as a key selling point, attracting users and forcing the entire market to improve.

The AI industry is not a winner-take-all market. Instead, it's a dynamic "leapfrogging" race where competitors like OpenAI, Google, and Anthropic constantly surpass each other with new models. This prevents a single monopoly and encourages specialization, with different models excelling in areas like coding or current events.

The concentration of AI power in a few tech giants is a market choice, not a technological inevitability. Publicly funded, non-profit-motivated models, like one from Switzerland's ETH Zurich, prove that competitive and ethically-trained AI can be created without corporate control or the profit motive.

The AI competition is not a race to develop the most powerful technology, but a race to see which nation is better at steering and governing that power. Developing an uncontrollable 'AI bazooka' first is not a win; true advantage comes from creating systems that strengthen, rather than weaken, one's own society.

Fears of AI power consolidating among a few giants like Google and Nvidia mirror past concerns about companies like Cisco controlling the internet. History shows that all transformative technologies eventually commoditize and diffuse, moving from centralized control to broad, democratized access at the edge.

The "one rogue AI takes over" scenario is unlikely because we are developing an ecosystem of multiple, roughly-competitive frontier models. No single instance is orders of magnitude more powerful than others. This creates a balanced environment where a vast number of AI actors can monitor and counteract any single system that goes wrong.

The fear of killer AI is misplaced. The more pressing danger is that a few large companies will use regulation to create a cartel, stifling innovation and competition—a historical pattern seen in major US industries like defense and banking.

While making powerful AI open-source creates risks from rogue actors, it is preferable to centralized control by a single entity. Widespread access acts as a deterrent based on mutually assured destruction, preventing any one group from using AI as a tool for absolute power.

The idea that one company will achieve AGI and dominate is challenged by current trends. The proliferation of powerful, specialized open-source models from global players suggests a future where AI technology is diverse and dispersed, not hoarded by a single entity.