Episode Details

Agentic AI is here—and it’s not just generating text anymore. These AI systems can actually act in the real world: booking flights, coding, controlling robots. Built on models like Claude, they’re equipped with tools and instructions to tackle tasks from math to managing company data. Coding is where the excitement’s highest right now—AI learns by trial, feedback, and refinement. But there’s a catch: over-reliance risks skipping verification, leading to bugs and data leaks. Vague human prompts can cause errors, and we’re already seeing the fallout. Worse, we risk de-skilling if we outsource thinking to machines. The future? Either smarter versions of today’s models—or entirely new architectures that handle video, physics, and more. The big question: will AI evolve as an extension of language models… or as something fundamentally different?

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