What are the downsides of OpenAI's chain-of-thought approach in the o1 model?
Last Updated: 23.06.2025 00:33
#2. Errors in early reasoning - leads to wrong conclusions
#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.
When Chinese people see my pets, will they think of it as their food?
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