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

Last Updated: 01.07.2025 05:14

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.

Why do some young mothers trick a guy into believing that they're pregnant and it's their child when years later they find out that it's not even theirs should he still pay child support or not?

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