Logo

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

Last Updated: 22.06.2025 03:05

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.

#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

Canadians went out of their way to help Americans stranded in Canada after 9.11.2001. Why did Canadians help so much the way they did? We read that Canadians don't particularly like Americans to begin with.

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