The State of AI: Where It Is, Where It's Going, and What Tomorrow Looks Like

AI is no longer a question mark. The models are real, the adoption numbers are real, and the productivity gains in narrow domains are real. What is also real: hallucination rates between 15 and 70 percent depending on the task, AI agents stuck at 17 percent actual deployment despite 60 percent of organizations planning to use them, and a threat landscape where attackers are already running circles around defenders using the same tools everyone else is still evaluating. In this episode, Dr. Elliott Vance and Marcus Hale take a clear-eyed look at where AI actually stands in 2026. What the Stanford AI Index tells us. Why benchmark performance does not translate cleanly to production. What the Arup incident, a 25.6 million dollar wire transfer executed after a fully AI-generated video call, tells us about where social engineering is heading. And why the most dangerous scenario for security teams may not be AGI, but the long, grinding middle period where AI capability keeps climbing while reliability keeps lagging. Topics covered: AI capability vs. hype in 2026. Hallucination rates and architectural limits. AI agents: the gap between demo and deployment. Offensive AI, breakout times, behavioral phishing, and deepfake-as-a-service. Data poisoning and AI supply chain integrity. Agentic SOC platforms and the risk of prompt-injecting your own defenses. The AGI debate: Amodei, Altman, LeCun, and what Hinton's revised timeline actually signals. Practical guidance for security programs operating in this environment.Support the show