OpenAI CEO, Sam Altman: «You don't need to write prompts anymore.»

Scale functions as a critical driver of emergent properties, consistently yielding returns that defy consensus expectations in both research and organizational development. Intelligence is evolving into a foundational utility, necessitating a shift toward democratized access to prevent power concentration within a few entities. While current AI development relies on a standard pipeline of pre-training and reinforcement learning, this architecture remains an interim solution awaiting future breakthroughs. As labor shifts toward capital, economic models like citizen wealth funds may become essential to ensure equitable distribution. Furthermore, the education system faces an urgent need to redesign curricula, moving away from pre-AGI evaluation methods to prioritize critical thinking and meta-skills. Addressing the current compute shortage is paramount, as the demand for abundant, low-cost intelligence remains largely uncapped, positioning inference infrastructure as a central challenge for future innovation.