The video explores OpenAI’s new models, O3 and O4 Mini, highlighting their advanced reasoning, image analysis, and tool use capabilities, while also comparing their performance to other AI models. Despite their impressive abilities, the presenter notes limitations such as hallucination rates and challenges in predicting stock market crashes, emphasizing the importance of fact-checking AI-generated information.
In a recent video, the presenter discusses OpenAI’s newly released models, O3 and O4 Mini, emphasizing their capabilities and features. The models are touted as the smartest and most capable to date, with full tool access. The presenter clarifies that O3 is designed for powerful reasoning across various domains like coding, math, and visual perception, while O4 Mini is optimized for efficiency and speed. The video aims to explore the performance of these models through various tests and comparisons with other leading AI models.
The presenter highlights the agentic tool use capabilities of both models, which allow them to autonomously select and utilize different tools to solve tasks. For instance, they can analyze images, scrape data, or assist in coding projects. The video showcases several examples, including the models’ ability to identify a restaurant from a blurry menu image and solve a maze using Python code. These tasks demonstrate the models’ advanced reasoning and image analysis skills, showcasing their potential for practical applications.
In addition to image analysis, the presenter tests the models’ capabilities in identifying ships and predicting stock prices. The models successfully identify a yacht and provide information about its owner and location, as well as analyze stock charts to predict future prices. However, the presenter notes that while the models perform impressively in many tasks, they still have limitations, particularly in predicting stock market crashes. The video emphasizes the speed and efficiency of the models in conducting research and gathering information.
The video also delves into the performance benchmarks of O3 and O4 Mini, comparing them to other AI models like Gemini 2.5 Pro. While O3 is slightly more performant in certain areas, O4 Mini shows better results in competitive math tasks. The presenter discusses various benchmarks, including creative writing and memory analysis, where O3 excels. However, the models’ hallucination rates, which indicate the frequency of incorrect information, are concerning, with O3 exhibiting a rate of 6.8%.
Finally, the presenter concludes by discussing the availability of the new models for different user tiers and hints at the upcoming release of O3 Pro with full tool support. The video encourages viewers to share their experiences with the new models and highlights the importance of fact-checking the information generated by AI, given the noted hallucination rates. Overall, the video provides a comprehensive overview of O3 and O4 Mini, showcasing their capabilities while also addressing their limitations.