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

Last Updated: 02.07.2025 23:57

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

#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

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.

What should I be looking for when trying out running shoes? Local store lets me try the shoe and jog up and down the block, but they mostly feel the same to me. Is there some feeling or anything else specific I should be looking for?

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