michaeld123

7 ms·

1. 31.▲
   by michaeld123 9mo ago

   This is a follow-on piece to “The Small World of English” (at inotherwords.app)
2. 32.▲
   Words with Spaces(linguabase.org)

   4 points by michaeld123 9mo ago|2 comments
3. 33.▲
   by michaeld123 9mo ago

   There are nearly half a million compound phrases that aren’t in any dictionary—simply because they contain spaces. “Boiling water.” “Saturday night.” “Help me.” I got interested in this because I make word games. I wanted to understand when
4. 34.▲
   by michaeld123 10mo ago

   agreed. it's often in my toolbox -- mostly since I already know it, and I prefer semi-colon-driven syntax -- but it's just one of a few languages I use.
5. 35.▲
   by michaeld123 10mo ago

   Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: Python, JavaScript, Swift, semantic systems, LLM orchestration Site/Portfolio: https://www.michaeldouma.com Email: m5@inotherword
6. 36.▲
   by michaeld123 11mo ago

   Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: Python, JavaScript, Swift, semantic systems, LLM orchestration, AI-assisted architecture Site/Portfolio: https://www.michaeldouma.c
7. 37.▲
   by michaeld123 1y ago

   Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: Python, Swift, JavaScript, semantic networks, WebGL, LLMs, system architecture Site/Portfolio: https://www.michaeldouma.com Email
8. 38.▲
   by michaeld123 1y ago

   Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: Python, JavaScript, Swift, React, PostgreSQL, Data pipelines, LLMs/AI, Game engines, Real-time systems Site/Portfolio: https:/&#x2F
9. 39.▲
   by michaeld123 1y ago

   Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: VP Product (AI), Game Design, Complex Systems, Data Architecture, Ships Products People Love I was #1 on HN last month with my semantic analysis
10. 40.▲
    by michaeld123 1y ago

    SEEKING WORK | Takoma Park, MD | Remote | Product Strategy & AI/UX Innovation Hey, I was #1 on HN last month - maybe you saw my white paper on the small world of English? That analysis mapped 110M+ semantic connections across 1.5M+
11. 41.▲
    by michaeld123 1y ago

    Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: VP Product (AI), Game Design, Complex Systems, Data Architecture, Ships Products People Love Email: m5@inotherwords-studio.com LinkedIn: https:&
12. 42.▲
    by michaeld123 1y ago

    It's true!
13. 43.▲
    by michaeld123 1y ago

    And where and how do people discover new word games?
14. 44.▲
    by michaeld123 1y ago

    Thanks for that datcreativity.com link. My score was 94.11, higher than 99.88% of the people who have completed this task! I should hope so after working on relations for years. ;) My words were: apple, shotgun, stardust, anger, hygiene, et
15. 45.▲
    by michaeld123 1y ago

    For good or bad, Semantle is able to report hot/cold because it's vector-based. We tried a few types of vectors, but I thought they were consistently unintuitive. So the best (and most relevant) proxy is remaining shortest distanc
16. 46.▲
    by michaeld123 1y ago

    Thanks!.... Does anyone pay for thesaurus APIs anymore?
17. 47.▲
    by michaeld123 1y ago

    And they are full of wiki markup, templates, and inconsistent formatting. A human brain can easily understand it, but automated parsing is impossible (pre LLM).
18. 48.▲
    by michaeld123 1y ago

    Longest paths: The tail maxes out at 15 hops. These extreme paths are disappointingly mechanical—not the poetic distances you'd hope for: * Technical jargon → unrelated obscurities: gryllacridid (cricket family) → microclots * Proper n
19. 49.▲
    by michaeld123 1y ago

    Sorry! The problem is ~2kb of data per 1.5M headwords. We already use indicies and brotli compression internally. I doubt we could smush below 3GB.
20. 50.▲
    by michaeld123 1y ago

    Thanks for reporting on your experience! Those are good questions, and I will think about your valence idea for the future. On a shorter horizon, I can tune the probability that on-path terms appear in the cloud. We store a larger pool of w
21. 51.▲
    by michaeld123 1y ago

    You are right. I replaced it with new paths that are +1 longer. These are actual paths from our game now.
22. 52.▲
    by michaeld123 1y ago

    I second that! I have edited a few Wiktionary pages myself, and find it's a better overall environment than Wikipedia, if you can find something meaningful to add.
23. 53.▲
    by michaeld123 1y ago

    That's an interesting puzzle. I hope more types of word puzzles continue to be created.
24. 54.▲
    by michaeld123 1y ago

    Yes. I love Google Ngrams. We use the top google Ngrams in 2 ways. (a) we share it in the reference mode of our app, i.e. common words before or after; (b) we use longer N-grams, where possible, like a 4-gram, to choose literary examples th
25. 55.▲
    by michaeld123 1y ago

    Good points. The main limiter is often what words happen to surface as the top 17 connections, or in those random examples when there's a plural or conjugation. Since this is getting eyeballs here, I will look for some less tortured lo
26. 56.▲
    by michaeld123 1y ago

    I wish it were not so! Here's the breakdown: 1.5M headwords × ~2KB average per entry >= 3GB Each entry contains: 40 associations in the core graph Multiple senses (up to 8) × 17 associations each = up to 136 more Stems and morpholo
27. 57.▲
    by michaeld123 1y ago

    Thanks for your interest! The data is used in our iOS game and visualizer.
28. 58.▲
    by michaeld123 1y ago

    Removed an ill-concieved backdrop-filter: blur(10px); downsampled the images, and some other little fixes.
29. 59.▲
    by michaeld123 1y ago

    thanks. Let me see if I can diagnose the scrolling lag.
30. 60.▲
    by michaeld123 1y ago

    Early on, I tried both older (Word2Vec & GloVe), and later newer (OpenAI's ada + the text-embedding-3-x).