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For large context (up to 100K tokens in some cases). We found that GPT-5: a) has worse instruction following; doesn't follow the system prompt b) produces very
by tifa2up 1y ago
For large context (up to 100K tokens in some cases). We found that GPT-5:
a) has worse instruction following; doesn't follow the system prompt b) produces very long answers which resulted in a bad ux c) has 125K context window so extreme cases resulted in an error
- Shank 1y agoChatGPT when using 5 or 5-Thinking doesn’t even follow my “custom instructions” on the web version. It’s a serious downgrade compared to the prior generation of models.
- cj 1y agoIt does “follow” custom instructions. But more as a suggestion rather than a requirement (compared to other models)
- internet_points 1y agoInteresting. https://www.robert-glaser.de/prompts-as-programs-in-gpt-5/ https://www.robert-glaser.de/prompts-as-programs-in-gpt-5/ claims GPT-5 has amazing!1!! instruction following. Is your use-case very different, or is this yet another case of "developer A got lucky, developer B tested more things"?
- tifa2up 1y agoThink it varies by use case. It didn't do well with long context
- Xmd5a 1y agoAh, 100k/125K this is what poses problems I believe. GPT-5 scores should go up should you process contexts that are 10 times shorter.