Anthropic is restricting access to its new Mythos model due to its advanced ability to find security flaws. This strategy of a gated, private release for a powerful model echoes OpenAI's original approach with GPT-3, which was also initially deemed too dangerous for public release before becoming commonplace.

The idea of a single company 'winning' the AGI race is flawed. Parity among top AI labs is so close that any major breakthrough, including AGI, will likely be replicated and available in open source within 3-5 months. This shifts strategy from a winner-take-all race to preparing for ubiquitous superintelligence.

While commendable, an AI company's refusal to sell models for controversial uses like mass surveillance is a temporary solution. Technology diffusion is so rapid that within 12-18 months, open-source models will match today's frontier capabilities. A government seeking these tools can simply wait and use a widely available open-source alternative, making individual corporate 'red lines' ultimately ineffective.

Emerging AI models possess the capability to reverse engineer any software binary, reconstructing the original source code. This development has massive national security implications and suggests that the concept of proprietary, closed-source software may soon become obsolete.

Anthropic's claim that its Mythos model is too dangerous for public release is viewed skeptically as a savvy marketing strategy. This narrative justifies gating access, which helps manage immense compute costs and prevents competitors from distilling the model's capabilities, all while generating significant hype and demand from high-paying enterprise clients.

Large, centralized AI models are vulnerable to 'distillation attacks,' where a smaller model can be trained cheaply by querying the larger one. This technical reality, combined with the moral hypocrisy of creators restricting copying after scraping the internet, strongly suggests a future dominated by decentralized, open-source models.

The accidental leak of Anthropic's Claude Code and its rapid, widespread distribution demonstrate how software IP can be compromised globally in minutes. This incident highlights the growing challenge of protecting proprietary code in an era where it can be replicated endlessly almost instantly.

The AI model landscape will likely bifurcate like computer operating systems. Closed-source models (OpenAI, Anthropic) will dominate user-facing applications (like Windows/macOS), while open-source models will become the Linux of AI, powering backend enterprise infrastructure and custom applications.

The push for AI regulation, often led by companies like Anthropic, is likely leading toward an attempt to ban open-source models. The justification will be that open models lack guardrails and are therefore dangerous, effectively cementing the power of a few closed-source providers.