Explore the intricacies of OpenAI's new Orion O1-preview models in this 29-minute video by Chris Hay. Delve into the hypothesis that OpenAI trained GPT-4O using reinforcement learning on Chain of Thought, potentially with the Strawberry framework. Examine the significant improvements in logic and reasoning capabilities compared to older models. Investigate claims about the replicability of these advancements through Chain of Thought techniques, and understand why models need to excel at this process for it to be effective. Compare the generated Chain of Thought outputs from Orion O1 models with those of GPT-4O, Claude 3.5 Sonnet, and Llama 3. Gain insights into the underlying mechanisms through practical demonstrations using games like Sudoku and Tic-Tac-Toe, ultimately enhancing your understanding of these advanced language models and their reasoning capabilities.