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

Last Updated: 01.07.2025 07:47

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

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.

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

This is a real question: Why do a lot of men/boys hate (yes, hate) women that voice their criteria in choosing a partner? Even when the criteria is sane and responsible. Besides it being, sadly, an effective mating strategy, why does it exist?

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

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