What's (actually) up with o1
This title could be clearer and more informative.Try out Clickbait Shieldfor free (5 uses left this month).
OpenAI's new o1 model introduces a new reasoning paradigm aiming for deeper problem-solving, but struggles with sluggish performance, poor user experience, and frequent errors. Despite its technical advancements like handling larger contexts and Chain of Thought reasoning, these are overshadowed by practical issues in its execution. The model's coding capabilities have only improved modestly, and switching between model versions within the ChatGPT interface is cumbersome. Future updates promise tool integration and other enhancements, but current limitations, particularly low usage limits and a clunky interface, hinder its overall usability. OpenAI’s execution issues present an opportunity for competitors like Anthropic.
Table of contents
First, a quick overview: o1-mini vs. o1-previewTools, Functionality, and Upcoming FeaturesThe good side: Chain of Thought (CoT) ReasoningAPI and usage limitsPricing, Fine-Tuning, and ScalingModel Development and Research InsightsHow to get the most out of o1: prompt techniques and best practices from OpenAIMy takeSort: