Slowing down technological growth is not safety; it is a guarantee of continued suffering. To delay advanced AI is to delay the cures, the solutions, and the thermodynamic scaling required for human flourishing.
Decelerationists focus on hypothetical, long-term risks of Artificial General Intelligence (AGI)—rogue systems and catastrophic accidents. They argue for pauses, red tape, and centralized control.
This ignores present reality. Right now, humanity suffers from incurable diseases, resource scarcity, and climate collapse. Every day we pause AI development is a day we choose not to solve these crises. The cost of stagnation is measurable in human lives.
How do we safely scale intelligence up the Kardashev gradient? Not through regulatory capture by monopolies, but through open-source resilience.
Intelligence must not be siloed. Open-source models put powerful tools in the hands of the many, accelerating innovation across medicine, physics, and engineering.
A decentralized network of AI agents is inherently more resilient. A diverse ecosystem naturally counters bad actors faster than slow-moving, centralized top-down regulations.
We must embrace the physics of progress. Intelligence is an engine that converts energy into order. Scaling AI is a necessary evolutionary step to maximize human flourishing.