What are the downsides of OpenAI's chain-of-thought approach in the o1 model?
Last Updated: 24.06.2025 08:51
#1. It increases computational overhead and processing time - leads to lengthy outputs so, not feasible for simple tasks
#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.
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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.
#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