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

Last Updated: 28.06.2025 01:57

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

#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.

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.

Trump is shot, tackled by SS agents, yet then stands, defiant, with fist high, and 52 hours later, walks into the Republican Convention to thunderous applause. Is there anything that can stop this man, who loves his country? Does he get your vote?

#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