In an engaging exploration, Caleb from “Caleb Writes Code” illuminates the release dynamics and industry implications of two major AI models: Google’s Gemini 3 and OpenAI’s GPT-5.1. Set against the backdrop of American AI innovation competing with Chinese alternatives, this video sets the stage for an evolving AI landscape moving towards Artificial General Intelligence (AGI). A focal point is Google’s independence from Nvidia with their TPUs for Gemini 3, revealing strategic shifts in AI computing resources. In contrast, OpenAI introduces GPT-5.1 and its variant, GPT-5.1 Pro, strategically timed with Google’s release to underscore competitive tactics in the AI industry. Caleb critically examines the AI race’s marathon-like nature, underscored by financial strategies and differing ideas about progress towards AGI. Although Caleb recognizes the worth of traditional model reviews, he chooses a broader lens to reflect on AI’s potential to automate core tasks, hinting at a not-so-distant future where AI’s full potential could be realized through automation of current manual processes. He also touches on benchmarks like the Omniscience Index, which offers insights into model credibility crucial in the lead-up to AGI. His narrative, while insightful, acknowledges the complex journey to singularity is fraught with technical challenges and philosophical debates.