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Is it really this easy now to get your article high on HN with 100 comments? The findings are completely meaningless.

"Agenticness" depends so much on the specific tooling (harness) and system prompts. It mentions Copilot - did it use this for both? Given it's created by Microsoft there's good reason to believe it'd be built yo do especially well with GPT (they'll have had 5 available in preview for months by now). Or it could be the opposite and be tuned towards Sonnet. At the very minimum you'd need to try a few different harnesses, preferably ones not closely related to either OpenAI/MS or Anthropic.

This article even mentions things like "Sonnet is much faster" which is very dependent on the specific load at the time of usage. Today everyone is testing GPT-5 so it's slow and Sonnet is much faster.



OP here. I actually agree with you that the "findings" here are meaningless. This is pure vibe.

Also regarding "Sonnet is faster" I did explicitly mention that I believe this is because GPT-5 is in preview and hours from the release. The speed I experienced doesn't say anything about the model performance you can expect.


If they're meaningless why'd you post it besides getting views on your blog?

> Also regarding "Sonnet is faster" I did explicitly mention that I believe this is because GPT-5 is in preview and hours from the release.

I genuinely don't see this mentioned, where is it?


I guess agents are voting it up


>Is it really this easy now to get your article high on HN with 100 comments?

Everyone wants to know the answer to GPT5 vs Claude without wasting the tokens personally because we can all more or less guess what the result will be.


It doesn't seem clear to me what the result would be, what makes you think it is?

It's super unlikely that there's one answer across all use cases for "GPT5 vs Claude" anyway. Double so if you include Opus and the vs is pure quality instead of quality per $.




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