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

Last Updated: 26.06.2025 01:58

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

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

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

Cooper Flagg has ‘the whole basketball world here at the tip of his fingers.’ Newport, Maine, couldn’t be prouder. - The Boston Globe

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.

#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