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

Last Updated: 01.07.2025 02:59

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

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.

#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

Why is Luigi Mangjone being seen as courageous if he was too cowardly to look his victim in the eyes? Don't Hollywood heroes look their victims in the eyes when shooting/stabbing/choking them?

#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.