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

Last Updated: 25.06.2025 02:27

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

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

If we do not know the name of the father of a child, e.g. a foundling, an illegitimate, etc., then to whom should the bin or the binti of the child's name be applied?

#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.