What are the downsides of OpenAI's chain-of-thought approach in the o1 model?
Last Updated: 23.06.2025 04:57
#2. Errors in early reasoning - leads to wrong conclusions
OpenAI’s chain-of-thought approach is good for complex reasoning but, there are many downsides.
#1. It increases computational overhead and processing time - leads to lengthy outputs so, not feasible for simple tasks
Should You Do Cardio or Weights First? We Finally Have an Answer. - ScienceAlert
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