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

Last Updated: 28.06.2025 02:22

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.

#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

Can it be true that people know your name, not your story, they’ve heard what you’ve done, but not what you’ve been through, so take their opinions of you with a grain of salt?

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