Guest: Wei Lien Dan, GP at Unusual Ventures  Topics:  We have a view at Google that AI for security and security for AI are largely separable disciplines. Do you feel the same way? Is this distinction a useful one for you?  What are some of the security problems you're hearing from AI companies that are worth solving?  AI is obviously hot, and as always security is chasing the hotness. Where are we seeing the focus of market attention for AI security? Does this feel like an area that's going to have real full products or just a series of features developed by early stage companies that get acquired and rolled up into other orgs?  What lessons can we draw on from previous platform shifts, e.g. cloud security, to inform how this market will evolve?  Resources: “What to think about when you’re thinking about securing AI” blog / paper EP135 AI and Security: The Good, the Bad, and the Magical EP136 Next 2023 Special: Building AI-powered Security Tools - How Do We Do It? EP144 LLMs: A Double-Edged Sword for Cloud Security? Weighing the Benefits and Risks of Large Language Models Introducing Google’s Secure AI Framework OWASP Top 10 for Large Language Model Applications Unusual VC Startup Field Guide Demystifing LLMs and Threats by Caleb Sima