Semantic Calculator

AI

word embeddings

SHOW HN2025

176points
172comments
#386of 3,837 in 2025
Top 11%of 2025 by points

How HN took it

CuriousMostly questions and neutral comments

16 positive, 69 neutral or asking, 4 mixed, 28 critical, out of 117 comments about the project. Thread score -0.09.

Execution: 6 for, 16 againstIdea: 7 for, 9 againstPerformance: 0 for, 2 againstDesign: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Fun and engaging ranked results

    From 3 comments
    • This is super fun. Offering the ranked matches makes it significantly more engaging than just showing the final result.
      skeptrune on HN
    • noodle+tomato=pasta this is pretty fun
      adzm on HN
    • A few favorites: wine - beer = grape juice beer - wine = bowling astrology - astronomy + mathematics = arithmancy
      clbrmbr on HN
  • Nice interface

    From 1 comment
    • First off, this interface is very nice and a pleasure to use, congrats! Are you using word2vec for these, or embeddings from another model? I also wanted to add some flavor since…
      spindump8930 on HN

Objections

  • Many results are nonsensical or biased

    From 4 comments
    • man - intelligence = woman (36%) woman + intelligence = man (77%) Oof.
      e____g on HN
    • doctor - man + woman = medical practitioner Good to understand this bias before blindly applying these models (Yes- doctor is gender neutral - even women can be doctors!!)
      doubtfuluser on HN
    • shows how bad embeddings are in a practical way
      yigitkonur35 on HN
    • Huh, that's strange, I wanted to check whether your embeddings have biases, but I cannot use "white" word at all. So I cannot get answer to "man - white + black = ?". But if I…
      ignat_244639 on HN
  • Only nouns work; plurals and non-nouns fail

    From 1 comment
    • Yes, word in red = word not found mostly the case when you try plurals or non-nouns (for now)
      nxa on HN

Requests

  • Show word definitions in the UI

    From 1 comment
    • This might be helpful: I haven't implemented it in the UI, but from the API response you can see what the word definitions are, both for the input and the output. If the output…
      nxa on HN

Questions

  • Why do some inputs return red circles or no answer

    From 2 comments
    • What does it mean when it surrounds a word in red? Is this signalling an error?
      cabalamat on HN
    • I'm getting Navralitova instead of queen. And can't get other words to work, I get red circles or no answer at all.
      TZubiri on HN

Alternatives named

  • ChatGPT or LLMs

    From 2 comments
    • For fun, I pasted these into ChatGPT o4-mini-high and asked it for an opinion: ``` data + plural = datasets data - plural = datum king - crown = ruler king - princess = man king…
      n2d4 on HN
    • Just use a LLM api to generate results, it will be far better and more accurate than a weird home cooked algorithm
      maxcomperatore on HN
  • Infinite Craft

    From 2 comments
    • Neat! Reminds me of infinite craft https://neal.fun/infinite-craft/
      antidnan on HN
    • This is super neat. I built a game[0] along similar lines, inspired by infinite craft[1]. The idea is that you combine (or subtract) “elements” until you find the goal element.…
      jumploops on HN
  • Contexto

    From 1 comment
    • Reminds me of the very annoying word game https://contexto.me/en/
      anonu on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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