It does support natural language, but at the moment it also makes the user change the prompt so that it is very similar to the post they are searching for. This issue is well-known https://gitlab.syncad.com/hive/hivesense/-/issues/12. In your case, a unique word 'holoz0r' in this very short prompt will match posts where this word is being mentioned. It is almost impossible to employ this mechanism to get one particular post since other posts may come a step nearer to the context you are intending to find — you are not alone in writing about the death on Hive
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Oh, not so much about the death of HIVE, but the concept of human death in general :P
I now understand that the search prompt is a little more like prompting Stable Diffusion to generate an image as opposed to the NLP described in the gitlab issue.
What about excluding posts that could be considered "low value" as per the screenshot in my other comment?
The same code is used to filter the search result as to filter the new/hot/trending lists. So if a post can be displayed in "the new" list, then it can also be displayed on the AI search result list, so filtering posts is a more generic problem.