In the video, the presenter tests the O3 Mini AI model’s capabilities in coding, math, and logic by successfully generating games like Snake and Tetris, while also evaluating its reasoning skills through various logic puzzles and hypothetical scenarios. Despite some limitations in specific tasks, the O3 Mini demonstrates impressive performance overall, particularly in ethical reasoning and coding challenges, leading the presenter to recommend it to viewers.
In the video, the presenter tests the capabilities of the O3 Mini, a new AI model from OpenAI, particularly focusing on its performance in coding, math, and logic tasks. The presenter begins by demonstrating the model’s ability to write a simple game, Snake, in Python. The O3 Mini quickly generates the code, which the presenter tests successfully, noting the game’s functionality and speed. The model’s output is impressive, showcasing its strength in coding tasks, especially in STEM-related areas.
Next, the presenter challenges the O3 Mini with a more complex task: creating the game Tetris in Python. While the model takes longer to generate the code compared to the Snake game, it still produces a working version of Tetris. The presenter highlights a minor bug in the game mechanics but overall considers the output satisfactory, indicating that the model can handle more intricate coding challenges effectively.
The video then shifts to logic and math problems, starting with a question about envelope dimensions. The O3 Mini correctly determines that the envelope falls within acceptable size limits, demonstrating its reasoning capabilities. However, when asked to count the words in a prompt, the model fails, indicating a potential limitation in handling certain types of questions. The presenter continues to test the model with various logic puzzles, including the “Killer’s problem,” where the O3 Mini provides a correct and well-reasoned answer.
The presenter also tests the model’s ability to reason through hypothetical scenarios, such as the marble question and the North Pole question. The O3 Mini successfully explains the marble’s position after various actions, but it struggles with the North Pole question, providing an answer that the presenter believes is incorrect. Despite this, the model performs well on other tasks, including generating sentences that end with the word “apple” and counting letters in a word.
Finally, the presenter evaluates the O3 Mini’s moral reasoning and web search capabilities. The model navigates ethical implications effectively when asked about pushing a person to save humanity, providing a thoughtful response. However, it initially struggles with current event queries due to a user error regarding search functionality. Overall, the presenter concludes that the O3 Mini is an impressive AI model, encouraging viewers to try it out and suggesting future comparisons with other models.