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

Last Updated: 29.06.2025 08:33

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

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.

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

Since the rise of feminism, the dating market has shifted to the disadvantage of men and that is causing this incel phenomenon. Why do women not understand how lonely the majority of men are?

#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