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

Last Updated: 03.07.2025 00:27

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.

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.

#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

If Russia needs the resources to fund the war in Ukraine, why doesn’t it throw open its doors to visa free western tourism? Enough people would be interested, & it would start to get some hard currency as €, CHF, £, SEK, $, JPY in the tills at shops.

#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