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

Last Updated: 29.06.2025 00:21

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

#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

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

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

If James Bond is meant to be the best secret agent in the world, how come all the bad guys in the World seem to know who he is?

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.

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