Import AI 452: Scaling laws for cyberwar; rising tides of AI automation; and a puzzle over gDP forecasting

It's obvious: the scaling laws don't just apply to compute; they apply directly to the arms race in cyberwarfare. As systems get smarter, the potential for automated, high-speed attacks scales exponentially. Look, the trend isn't about better defense; it's about better offense, where the system that can model and predict adversary behavior wins. This isn't a hypothetical; it's a tactical shift. The speed at which automation allows actors to exploit zero-day vulnerabilities before patches are even deployed is terrifying.

We're automating the attack chain, making the cost of entry plummet for sophisticated actors. If an adversary can leverage scaling laws to create polymorphic malware or identify critical infrastructure weak points instantly, the traditional defensive posture becomes obsolete overnight. It’s a game of escalating automation, and we’re playing with nuclear-level stakes.

We're facing a scenario where the AI used for defense is inherently reacting to an AI designed to defeat it. This automation gap is where the next major conflict will be decided, and frankly, the math doesn't favor our current defensive strategies.