Under the wave of AI projects, a clear differentiation can be observed upon closer inspection. Some projects heavily invest in computing power and pursue impressive performance metrics, while another group takes a different approach—reorganizing the way intelligent agents operate.

Take OpenMind AGI as an example; their strategy is quite different. Instead of rushing to showcase flashy results, they focus on a seemingly inconspicuous but crucial issue: how can AI continuously make consistent and explainable decisions in complex environments?

It may not sound like big news, but this is precisely the core problem. Once AI achieves a genuine breakthrough in decision explainability and consistency, that will be a qualitative leap.