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

Last Updated: 02.07.2025 02:34

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

#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

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

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

If your only job was to make people laugh at you and that’s all you were good for, would you be depressed?

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

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.