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

Last Updated: 24.06.2025 07:49

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

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

#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

MAGAs are becoming unhinged and violent about Musk being called the United States President. If MAGAs think Trump is the Commander in Chief, why aren’t MAGAs blaming Trump for what DOGE is doing to Americans?

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.

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