Pat Gelsinger attributes Intel's decline to prioritizing financial engineering over technical innovation, citing missed investments in EUV lithography and the foundry model. He warns that a Taiwan blockade could trigger an economic crisis worse than the Great Depression due to the island's minimal energy reserves. Gelsinger argues the AI build-out is not a bubble, predicting two decades of growth driven by the Jevons paradox as token costs plummet. Separately, Anton Osika explains Lovable's mission to empower non-developers, with 80% of users having no coding background. The platform has enabled users to build million-dollar businesses and drastically reduce development costs, with one client saving over $1M annually by replacing multiple tools. Lovable uses a multi-model AI strategy and reinforcement learning to improve accuracy, while human planning remains the key bottleneck in software development.