The TST Ethical Roadmap is a process for making better moral decisions aimed at flourishing for all:
Group ethics guides. Personal morality chooses. Act with good intent. Weigh the result. Adjust.
The important part is that the process does not end with the decision. We act, reality answers, and we learn from what actually happened. The next decision should benefit from the last one. This recursive process is moral calibration: act, observe, learn, and adjust.
That same recipe offers an interesting way to think about AI superintelligence. Imagine thousands of specialized AI agents working together. Some gather evidence from groups. Others propose solutions, challenge assumptions, and run experiments. Then reality pushes back, because truth requires reality. Reality contains uncertainty, incomplete information, and unpredictable events. The results are measured, useful discoveries are retained, mistakes are identified, and the system adjusts. Understanding this roadmap helps make superintelligence less mysterious.
We already know how powerful this kind of collective can become because human societies work this way. No individual knows how to build and operate everything in a modern civilization. Instead, people specialize. Scientists investigate nature. Engineers build. Businesses experiment. Courts resolve disputes. Journalists investigate. Universities preserve and extend knowledge. Civilization becomes capable of things no single human could accomplish.
The deeper question is what that intelligence is aimed at. A normative aim gives intelligence direction. In TST, that aim is flourishing for all: use greater knowledge and capability to help individuals, societies, humanity, and the larger systems we depend on flourish. The opposite is easy to imagine. Whether human or AI, destruction can ensue. When either are directed toward things like domination and exploitation, destruction always follows. Superintelligence will give us unprecedented power. Philosophy needs to help guide what we aim it at.