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

Last Updated: 29.06.2025 03:29

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

#1. It increases computational overhead and processing time - leads to lengthy outputs so, not feasible for simple tasks

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

Why do people hate fat people so much, even people who aren't exactly supermodels themselves? It seems like such a deep, passionate hatred, like they're offended by fat people just existing. Fat people didn't do anything to them, so why hate them?

OpenAI’s chain-of-thought approach is good for complex reasoning but, there are many downsides.

#2. Errors in early reasoning - leads to wrong conclusions