In programming (such as C#), BLC describes generic, nested data structures or repetitive code blocks. Developers use "aliases" or simplified naming conventions to represent these "big long complex things," making the code more readable and easier to maintain. The Psychology of Complexity
Thus, the case for regulation is compelling. But compelling does not mean feasible. BIG LONG COMPLEX
In many contexts, "Big Long Complex" describes anything that exceeds simple, intuitive understanding and requires deliberate, systematic engagement. In programming (such as C#), BLC describes generic,
Complexity is the most dangerous of the three. It refers not to the size of the problem, but the density of connections between its parts. In a complex system, changing one variable unpredictably affects ten others. But compelling does not mean feasible
Most proposed regulations (compute thresholds, licensing requirements, mandatory reporting) disproportionately affect smaller players. A compliance burden that is trivial for Google or Microsoft is fatal for a university lab or a startup. The result is a regulatory moat: incumbents capture the state, and the state reinforces incumbents. This reduces the diversity of AI development, which is precisely what safety advocates want to avoid—diverse actors are harder to coordinate, but they also produce more innovation in safety techniques. Centralization creates monoculture, and monocultures are fragile.
The next time you look at your workload and see a terrifying Big Long Complex staring back at you, do not run. Recognize it for what it is: the shape of meaningful work. The small, the short, and the simple are already automated or outsourced.