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

Last Updated: 02.07.2025 03:13

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

#2. Errors in early reasoning - leads to wrong conclusions

#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

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

If I get served by someone else's papers, am I legally required to inform the person that they got served, or the court that they served the wrong person?

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