BGE embeddings occupy a narrow cone in vector space, so raw cosine of
two unrelated words already sits at ~0.40-0.55. Displaying `raw * 100`
made every random guess read as 40-70% warm, which defeated the warmth
UX.
format.js now applies a normalized sigmoid (FLOOR 0.40, CENTER 0.60,
SCALE 8) to remap raw cosine → displayed 0-100. Unrelated pairs drop
to ≤30, loose relation lands around 40-55, clear synonyms hit 85+, and
exact match stays at 100. Emoji buckets were rebased onto the calibrated
score; formatWarmth lost its sign column (calibrated output is always
non-negative).
render.js rounds once and feeds the integer to both formatWarmth and
warmthEmoji so the display value and bucket stay in sync.
Constants are empirical — retune if swapping to a non-BGE model.
Now that both modules run on Workers AI embeddings, drop the legacy
Word2SimError alias, the unused wordlist helpers (getLine, LINE_COUNT,
pickFromPool), and every comment/README section still describing the
removed ConceptNet backend. Fix the bge-small doc typo in semantle/index.js
and align the semantle api-client test fake-vector dim with the real
384-dim output.
Giveup already auto-starts a fresh round on next /semantle, so /semantle_new
was redundant. Duplicate guesses now match loldle's behavior: reply with
"🔁 already guessed" and skip the similarity API call (fast-path dedup
against prior word or canonical, with a post-API fallback for different
inputs that canonicalize to the same token).
Telegram commands /semantle, /semantle_new, /semantle_giveup, /semantle_stats.
Round starts with /random pick from hosted word2sim; each guess scored via
/similarity. Unlimited guesses; solve on case-insensitive exact match.
New env var WORD2SIM_API_URL (wrangler.toml, .env.deploy). Includes
module README and 90 unit tests covering api-client, state, format,
render, and handlers.
tiennm99