This must be the most frustrating game like these. I don't get the intuition of why some words are decided distance. I guess it takes into account all possible meanings.
Edit: in the end I was able to get the perfect score after several tries.
This type of game is based off a dataset that came out a few years ago, that was originally built to train AI. It's built by analysing all text fed to it (pretty much all of Google book and a very large part of the internet) and whether a word is close or not depends on how frequently the words appear near each other.
how frequently the words appear near each other
That's what I thought for yesterday's puzzle and tried "final" and "version" but apparently there was no connection between them. I guess if you keep playing you'll start learning the dataset too.
One thing I misunderstood is that it's not about how close they are semantically, but in meaning. It's subtle.
I just played for the first time and got:
Game #144
Shortest path: 3 (Avg. 3)
Total words: 3 (Avg. 3)
π¦πͺπ₯ | π₯ 1
I must have just got lucky with the word I chose: >!food!<
Interestingly, I chose the same word that you did. But the direct connection to "living" seems to be a stretch.
Game #144
Shortest path: 3 (Avg. 4)
Total words: 3 (Avg. 6)
π¦πͺπ₯ | π₯ 2
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That was unexpected
Game #144
Shortest path: 5 (Avg. 5)
Total words: 6 (Avg. 14.8)
π¦π¦πͺπ₯π₯ | π₯ 1
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Game #144
Shortest path: 7 (Avg. 7)
Total words: 12 (Avg. 12)
π¦π¦π¦πͺπ₯π₯π₯ | π₯ 1
I am not sure how it determines links or not because I gave it many linked words and it did not agree.
I get frustrated by this too. Figured I'd post a new game but if people don't like it I can stop. I like it well enough to put up with some words that really should be linked not being linked, and unexpected words linking, but I can see why not everyone would.
3. How does Linxicon determine how similar words are to each other? Behind the scenes, words are entered into a machine learning model that returns a score which indicates how similar words are to each other. If you want to learn more about the model used, click here to the documentation on SentenceTransformers.
source: https://linxicon.com/faq
Yeah, it quickly turns into a game of "what does the LLM want", instead of the intended word relationship.
Game #144
Shortest path: 3 (Avg. 4.5)
Total words: 3 (Avg. 6.5)
π¦πͺπ₯ | π₯ 2
I'm still not sold on this one; it's interesting enougn but it seems incredibly subjective. I don't believe my word should have connected to "living", and there was a link yesterday that wouldn't form that I'm convinced should have.
I feel the same way about the links.
3. How does Linxicon determine how similar words are to each other? Behind the scenes, words are entered into a machine learning model that returns a score which indicates how similar words are to each other. If you want to learn more about the model used, click here to the documentation on SentenceTransformers.
source: https://linxicon.com/faq
Game #144 Shortest path: 4 (Avg. 4) Total words: 4 (Avg. 4) π¦π¦π₯π₯ | π₯ 1
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Game #144
Shortest path: 3 (Avg. 5)
Total words: 3 (Avg. 6)
π¦πͺπ₯ | π₯ 2
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