Summary of Reddit Comments on "o1 preview"

OpenAI's o1-preview Model

• Hides the Chains-of-Thought: The model hides most of its "thought" process, leading to speculation on its abilities.
• Increased Censorship: Received criticism for a perceived 4x increase in censorship compared to GPT-4o.
• Limited Access: Users mentioned limited access to the model initially, with some later gaining access.
• Impressive Capabilities: Users were impressed by the model's abilities, with one mentioning it's not yet at the AGI benchmark.
• Concerns: Some users raised concerns about OpenAI's goals and the potential implications of advanced AI models like o1-preview.
• Performance: Mixed reviews on the model's reasoning abilities, with some noting failures and others highlighting successful solutions.
• Model Comparison: Discussions comparing o1-preview to other models like Perplexity Pro for research purposes.
• Increase in Restrictions: Users noted restrictions, such as message limits and computing constraints, impacting the model's performance.
• Interest in Future Releases: Speculation and anticipation for upcoming models like Opus 3.5 and GPT-5.

Reasoning Tasks and Challenges

• Riddles and Logic Challenges: Users tested the model with various riddles and logic challenges, discussing results and reasoning approaches.
• Overfitting Concerns: Discussions on potential overfitting issues impacting the model's performance on specific types of questions.
• Logic and Reasoning Abilities: Examinations of the model's ability to reason and the intricacies of its responses to different prompts.
• Comparison with Humans: Users questioned the model's speed and accuracy in solving problems compared to human abilities.

OpenAI's Naming Conventions and Reactions

• Naming Conventions: Criticism and humor regarding OpenAI's naming patterns for models like GPT-4, GPT-4o, GPT-4o1, etc.
• User Reactions: Various reactions from users, including humor, skepticism, praise, and disappointment with the o1-preview model.
• Model Performance: Observations on the model's strengths and weaknesses, particularly in comparison to other AI models.

General Discussion

• AI's Future: Speculation on the impact of advanced AI models like o1-preview and the possibilities they bring.
• User Experiences: User anecdotes about interactions with the model, response times, and computational constraints.
• Algorithm Testing: Discussions on testing AI algorithms, comparing results to training data, and evaluating reasoning capabilities.

Overall, the Reddit comments provide insights into users' experiences, concerns, and evaluations of OpenAI's o1-preview model, highlighting both impressive capabilities and areas for improvement.