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

Last Updated: 02.07.2025 04:51

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

#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.

Why do people keep saying they have evidence and have presented it that proves you're wrong even though they have none and haven't presented anything? Furthermore, what do they think you're wrong about?

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