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

Last Updated: 27.06.2025 01:11

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

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

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

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.

Its year 2041, and president Hunter Biden has ordered every republican who sweared at him to be arrested and shot. I am on my way to the death row listening to the cheer of the Liberal mob chanting death death death. How can I escape?

#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