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

Last Updated: 02.07.2025 07:54

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.

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

Will the United States allies share any major secrets with President Trump next year? Will Trump give our nuclear secrets to Russia and China?

#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.