from Diary 2023-10-21 Neri Neri’s value is slowly decreasing. I’ve been feeling it for a while now.
- [Slowly decreasing in value by omni.
- Why is that?
- 1: I put a certain query Q1
- 2: omni says “A or B or C is related to
- I said, “I see! I hadn’t thought of that idea! That’s interesting!” And I’m like.
- 3: A lot of thoughts develop with that omni stimulus.
- A new D is being created.
- 4: I put query Q2 in relation to that D
- 5: omni “relates” to my recent C1, B1, and D
- I’d be like, “I know…”
People are too slow on their feet.
- The speed of development of human thought is slow compared to the power of vector search leaps.
- Grass is dying
- The parable of [nomadism
- all the grass has been eaten
- movement I have to do it.
- all the grass has been eaten
When I first created omni-private, I tried a little and immediately removed my own origin fragments from the search.
- That’s because I expected to get hits on fragments originating from other people, but all I got were hits on fragments originating from myself.
- Why it happens is because your writing looks like your writing.
- Many people interpret vector search as a search by meaning, but in reality, it is a vector that involves not only meaning but also style and other factors.
- Side note: Vector searches do not always hit other languages with the same meaning. Then I started including self-derived fragments for experimentation.
- New findings made in [Experiments to find relationships
-
- When I search with this, I get almost no hits on my text.
- Fragments hit from my Scrapbox are also “scraps of other people’s statements.”
- where it has not yet been trampled.
- The ratio of self and other fragments in the search results may give you an idea of the amount of grass.
2023-10-22 omni spec bug.
- I noticed a spec bug regarding Iterative Commenter in public.
- Update Interval of AI Notes Change title from ”🔁” to ”🌀” so that it comes up now and then.
- However, the title has been changed and those pages have been hit in searches.
- Maybe so. I haven’t checked properly yet.
- That’s the story that bothered me when I made Scrapbox a search index in the first place.
- The specification is to leave it as “useful because it provides a clue to find the renamed one, even if it’s a hit.”
- It’s not a good idea to have all the slightly different output generated by the AI as a search target.
- Because the current search is structured as “N cases from the one with the highest vector similarity”, when such content is hit, the search results are filled up.
- As a result, similar content is generated again.
- This is one of those hammy modes caused by a flaw in the specs.
- Because the current search is structured as “N cases from the one with the highest vector similarity”, when such content is hit, the search results are filled up.
- Older implementations would collapse update time data on import to Scrapbox, resulting in full telomere updates.
- Similarly, the updater information for each line has been filled in.
- After all, was it necessary here to let the AI use users who are not me in the flesh, and to handle them differently?
- The “when a ningen comments in AI-generated content, it’s useful” story should also have done a better job of detecting and cutting it out
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