In this interview from the AGNT Podcast, recorded at the MCP Dev Summit in Times Square, Raphaelle d'Ornano joins theCUBE + NYSE Wired's Gemma Allen to break down the week's most market-moving developments in AI — from the accidental leak of Anthropic's 512,000-line Claude Code repository to the misread implications of Google's TurboQuant research. D'Ornano unpacks what the leaked codebase actually reveals: a sophisticated orchestration graph with Claude Code as the entry point for capturing user intent, and an indexing mechanism called the Pointer that solves context entropy by fetching information directly from external sources without inflating the context window. The conversation also explores the widening gap between Wall Street's interpretation of AI breakthroughs and their technical reality. D'Ornano explains how Google's TurboQuant research — an inference efficiency improvement rooted in papers from a year prior — triggered a sharp selloff in memory stocks despite HBM supply constraints remaining fully intact. She outlines her investment philosophy around "architectural resilience," evaluating how companies across the AI stack are positioned against rapid innovation cycles. The discussion turns to OpenAI's 35X revenue valuation and the unexpected difficulty of its latest funding round, raising sharper questions about retail investors gaining index-fund exposure to money-losing AI companies as Anthropic, OpenAI and xAI prepare for landmark IPOs. From the mismatch between market perception and technical nuance to the democratization risks of AI investing, d'Ornano provides a frank assessment of the industry's most consequential fault lines.