What are the downsides of OpenAI's chain-of-thought approach in the o1 model?

Last Updated: 03.07.2025 02:56

What are the downsides of OpenAI's chain-of-thought approach in the o1 model?

#1. It increases computational overhead and processing time - leads to lengthy outputs so, not feasible for simple tasks

To explain the downsides better, you can try asking same question to GPT, it will provide a lengthy answer as if it were answering a question paper.

#3. Provides unnecessary details - bad user experience as some users need specific output to certain queries and having to analyze a big response can be hectic

Why, after being called "Libraries," for centuries, are these hallowed college institutions being renamed: "Learning Centers," and "Resource Centers," etc? What's wrong with the time-honored and venerable name: "Library"? What is to be gained?

OpenAI’s chain-of-thought approach is good for complex reasoning but, there are many downsides.

#2. Errors in early reasoning - leads to wrong conclusions