Long But Worthy Post-please read.
I want to be transparent about where my interest in AI actually started. It began with the wave it represented and the income potential attached to it. But the more I learned, the more my understanding shifted into something I did not initially anticipate. On May 25, 2026, Pope Leo XIV released an encyclical titled Magnifica Humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence, and Anthropic co-founder Chris Olah was invited to speak at its presentation in Vatican City. What he said was worth paying attention to, not because it was polished, but because it was honest. He acknowledged openly that every frontier AI lab, including Anthropic, operates inside pressures that can conflict with doing the right thing: the pressure to stay commercially viable, to stay at the research frontier, and the older, plainer pressures of pride and ambition. He did not minimize that. He named it. He also said something that stayed with me. Unlike a bridge or an airplane, AI systems are not engineered from understood parts. They are grown on an enormous inheritance of human thought and speech, and they remain mysterious even to the people who train them. That framing matters, because it means representation is not a side conversation. It is a foundational one. Emotional recognition, cultural understanding, accurate representation of skin tone and lived experience can be left entirely off the table unless the people most likely to be overlooked have a seat at it. AI reflects humanity back to itself, and right now humanity is not equally represented in who is building it or whose experiences are shaping it. Which means this conversation cannot belong only to engineers, executives, or the companies building these tools. Olah said as much himself, calling for religious communities, civil society, scholars, governments, and all people of good will to take this seriously, look closely, and push events in a better direction. That is not a small ask. That is an acknowledgment that the questions AI raises are bigger than the AI research community.