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Comparing OpenAI's O3 Mini and Deep Seek R1 through coding tests and AI task orchestration reveals strengths and weaknesses in both AI models. The O3 Mini demonstrates a higher output token capacity with 100,000 tokens compared to R1's 8,000 tokens, creating challenges and opportunities in coding tasks, video editing, and URL extraction. The ability for agent orchestration is explored with instructions provided to AI agents to execute tasks, where both models show varied success. Despite some failures in specific coding tasks for O3 Mini, it generally performs strongly against Deep Seek R1, suggesting varying applications based on operational contexts.
O3 Mini features a theoretical output of 100,000 tokens in one response.
O3 Mini pricing is competitive, being cheaper than GPT-4.
Comparative coding tests show varying levels of success for both AI models.
AI orchestration demonstrated how O3 Mini instructs agents to analyze stock markets.
Both models performed well in solving the river crossing puzzle.
The exploration of O3 Mini and Deep Seek R1 highlights critical ethical implications regarding AI's output capabilities. As larger token outputs could lead to actions performed by AI agents, it is imperative to ensure governance strategies are in place to oversee the results generated by such models to mitigate risks associated with misinformation and unintended consequences.
With the competitive pricing of O3 Mini against existing models like GPT-4, its potential to capture a wider market share is notable. This indicates a trend towards affordability in AI solutions, which can drive innovation while also challenging established players to balance cost versus performance in their offerings.
O3 Mini's capacity to output 100,000 tokens presents significant opportunities and challenges for task management.
The video discusses how both O3 Mini and Deep Seek R1 assign tasks to their respective agents for analysis.
High reasoning effort was chosen in tests to evaluate model performance.
In the video, OpenAI's O3 Mini is compared with Deep Seek R1 to assess its capabilities in various AI tasks.
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The Deep Seek R1 model is evaluated against OpenAI's offerings in the video, emphasizing its performance in coding and AI orchestration.
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