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

Last Updated: 26.06.2025 13:06

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.

Had strong anxiety, heart palpitations, headaches and fear randomly over twin flame presence, 20 mins later he didnt acknowledge me saw a photo of a girl on the back of his phone faced up. Assume it was a new gf. Was this a warning of seperation?

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