Geoff Ralston just launched the Safe Artificial Intelligence Fund (SAIF), writing $100,000 SAFE checks for early-stage AI safety startups. The fund focuses on model explainability, security compliance, and anti-weapon defenses while explicitly ruling out fully autonomous weapons. Ralston also plans to help portfolio founders tap into his YC network.
Google just expanded its Vulnerability Rewards Program (VRP) to cover generative AI attack scenarios, releasing new guidelines on what qualifies as an in-scope bug. The company is also rolling out prototypes for model signing via Sigstore and SLSA to secure AI supply chains against tampering. Why it matters: Google is putting cash behind crowdsourced safety to catch jailbreaks and hallucinations before attackers do.
Google just signed on to industry-wide responsible AI commitments alongside other tech leaders, pledging to balance bold innovation with strict risk controls. The search giant revealed plans to bake watermarking and metadata into its generative models, roll out an "About this image" verification tool, and join public red-teaming at DefCon.
Google just introduced SAIF, a comprehensive security framework designed to protect AI systems from unique threats like prompt injection, model theft, and data poisoning. Drawing from its zero-trust experience, the tech giant outlines six core principles to help enterprises secure deployments by default. Why it matters: As generative AI scales, standardizing guardrails will be critical to keeping rogue prompts from breaking enterprise systems.
