{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/68a43f4573bf5b62987006aa/6a0a9281d98ee73f63e85dbe?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Guardrails, Governance, and the Real Cost of AI","description":"Claire and Peter break down why AI is getting more capable—and more operationally risky. They cover new research showing how easily major model guardrails can be bypassed, what the Musk vs OpenAI trial reveals about control and governance in frontier AI, and Apple’s reported Siri reboot using Google Gemini with privacy-centric design. Plus: what Nvidia earnings could signal for the AI infrastructure boom, why memory and storage are emerging bottlenecks, how agentic AI is compressing high-skill finance work, where measurable ROI is showing up in hiring, why sovereign AI is reshaping enterprise architecture, and how synthetic media is becoming a mainstream brand-safety issue. In AI in Flow, the message is clear: capability matters, but control, trust, and infrastructure matter more.","author_name":"Six & Flow"}