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

Last Updated: 02.07.2025 02:59

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

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.

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

I’m a 25 year old teacher teaching at boys school & I have colleagues younger than me. I caught one of my students telling her he wanted her as his teacher instead & it hurt my feelings. They compliment her a lot. It makes me jealous. What do I do?

#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