What are the downsides of OpenAI's chain-of-thought approach in the o1 model?
Last Updated: 30.06.2025 16:54
#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
#1. It increases computational overhead and processing time - leads to lengthy outputs so, not feasible for simple tasks
#2. Errors in early reasoning - leads to wrong conclusions
If Trump were to lose in 2024, would that be the end of his grip on the Republican Party?
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.
OpenAI’s chain-of-thought approach is good for complex reasoning but, there are many downsides.