Error list: 157 words, 279 occurrences (review 2026-10-28)
Browse files- README.md +165 -155
- words.jsonl +157 -152
README.md
CHANGED
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@@ -23,168 +23,178 @@ code-switching, Jerusalem). Each word here is fed back into training as a **prio
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recording app serves sentences with it first until there are enough takes of it. No transcript text,
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audio or other content of the dictations is published, only the word, the wrong forms and the model.
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-
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- `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
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version); `model_rev` is the exact weights' revision, recorded from app 0.7.3. Errors from before
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the app recorded the model have none.
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- `source: reported` means the speaker reported the error directly; it is not in the reviewed history.
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- `takes` / `target`: recordings of the word made for retraining so far, against the number wanted.
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`status`: `training` (under target), `trained` (target reached; a later error means it still fails).
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| Parakeet | Power Key, PowerKey | 2 | 7 / 20 |
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## Release tests
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recording app serves sentences with it first until there are enough takes of it. No transcript text,
|
| 24 |
audio or other content of the dictations is published, only the word, the wrong forms and the model.
|
| 25 |
|
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+
- 157 words, 279 occurrences. Last review: 2026-10-28.
|
| 27 |
- `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
|
| 28 |
version); `model_rev` is the exact weights' revision, recorded from app 0.7.3. Errors from before
|
| 29 |
the app recorded the model have none.
|
| 30 |
- `source: reported` means the speaker reported the error directly; it is not in the reviewed history.
|
| 31 |
- `takes` / `target`: recordings of the word made for retraining so far, against the number wanted.
|
| 32 |
`status`: `training` (under target), `trained` (target reached; a later error means it still fails).
|
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+
- `active`: the word is still being recorded for retraining (takes under target); it switches off by
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+
itself when the target is reached. `priority`: `high` words are recorded before `normal` ones.
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- `source: manual` means the word was added by hand, not from a reviewed error, so it has no occurrences.
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Active words first, high priority first among them.
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| Word | Heard as | Occurrences | Takes / target | Active priority |
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|---|---|---|---|---|
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| arXiv | arcs of, Artives, arcsiv, argsiv, Clike | 5 | 0 / 20 | high |
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| Konsole | console | 4 | 5 / 20 | high |
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| abdominophrenic dyssynergia | abominophrenic dysinurgia | 1 | 0 / 20 | high |
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| accent transfer | Axon Transfer | 1 | 0 / 20 | high |
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| base | bass | 1 | 0 / 20 | high |
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| code-switching | co-switching | 1 | 0 / 20 | high |
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| DHL | HL | 1 | 0 / 20 | high |
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| dyspepsia | dyspepsy | 1 | 0 / 20 | high |
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| feed | fee | 1 | 0 / 20 | high |
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| fluticasone | Fluticazone | 1 | 0 / 20 | high |
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| hunches | punches | 1 | 0 / 20 | high |
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| lifelike | lifly | 1 | 0 / 20 | high |
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| OTC | ODC | 1 | 0 / 20 | high |
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| pairs | pears | 1 | 0 / 20 | high |
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| potentially | prudentially | 1 | 0 / 20 | high |
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| re-architect | re-arcolate | 1 | 0 / 20 | high |
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| Relvar | Ralvar | 1 | 0 / 20 | high |
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| salbutamol | Samputumal | 1 | 0 / 20 | high |
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| sans-serif | Sanserif | 1 | 0 / 20 | high |
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| serif | Sara | 1 | 0 / 20 | high |
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| Singulair | Singular | 1 | 0 / 20 | high |
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| spacer | Spacerin | 1 | 0 / 20 | high |
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| text | test | 1 | 0 / 20 | high |
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| Ventolin | Ventilin | 1 | 0 / 20 | high |
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| Vercel | inversel | 1 | 0 / 20 | high |
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| My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt, My Word prompts | 7 | 14 / 20 | normal |
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| Typst | TyPst, TIPS-type, tips toypt, TyPstip, tipst, Tips | 6 | 9 / 20 | normal |
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| CLAUDE.md | userlevelclaw.md, 4 MD, Claude NMD, FlawdMD | 4 | 9 / 20 | normal |
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| Easy Effects | EasyFX | 4 | 5 / 20 | normal |
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| Infisical | Infiniscal, Infinisco, Inphysical, physical | 4 | 8 / 20 | normal |
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| disfluency | disluency, Dispuency, fluencies | 3 | 9 / 20 | normal |
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| mic | Mike | 3 | 5 / 20 | normal |
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| Composio | Compi Posio, Compose | 2 | 4 / 20 | normal |
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| OnePlus Nord 3 5G | OnePlus Nord 3.5G, OnePlus Nord 35G | 2 | 4 / 20 | normal |
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| Parakeet | Power Key, PowerKey | 2 | 7 / 20 | normal |
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| auto gain | auto game | 1 | 4 / 20 | normal |
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| convention | invention | 1 | 4 / 20 | normal |
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| cutlery | cuddlery | 1 | 4 / 20 | normal |
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| Debian | Debin | 1 | 7 / 20 | normal |
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| IBM Plex Sans | IBM Plexans | 1 | 4 / 20 | normal |
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| MCP | MCP2 | 1 | 19 / 20 | normal |
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| MCP Hub | MCB Hub | 1 | 3 / 20 | normal |
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| OTP | OTB | 1 | 5 / 20 | normal |
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| STT | SST | 1 | 7 / 20 | normal |
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| tech vocab | type vocab | 1 | 4 / 20 | normal |
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| ThinkPad | ThinkPaddy | 1 | 4 / 20 | normal |
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| Claude Code | clawed code, clawed, claud, clawed coat, claw code, Core Code, claudcode, claud Code, the claud, clause claud code | 15 | 12 / 6 | |
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| LoRA | Lores, Loas, Laura, lores, Loa, LoRa, lore, lures | 15 | 8 / 6 | |
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| ROCm | ROCM, Rockham, Rockin, RCM, Rock'em | 15 | 12 / 11 | |
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| Corn | Coren, Cornak's, Eminent Corn, Corner, Korn, Corin | 6 | 5 / 5 | |
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| Hugging Face | Hooking Face, hugging face, hooking face, Hogging Face, hogging face | 6 | 11 / 11 | |
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| Hebrish | HeBrish, Hebris, keybrush, Hebrew Shop, Hebrew shtal | 5 | 13 / 11 | |
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| NocoDB | No CodeDB, Nocode, NokoDB, Noko DB | 4 | 6 / 6 | |
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| skill | scale, kills | 4 | 5 / 5 | |
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| 8BitDo | 8-bit do, four-bit do | 3 | 9 / 9 | |
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| Cloudflare | cloud fair, Cloud Claire, Cloud Clare | 3 | 5 / 5 | |
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| Colab | Collab, collab | 3 | 6 / 6 | |
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| evals | evalves, valves, haval | 3 | 6 / 6 | |
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| F-Droid | FDroid, Fdroid | 3 | 10 / 10 | |
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| Nemotron | Nematron, Nementron | 3 | 13 / 11 | |
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| Unsloth | Unsoft, On Sloth, Onsloth | 3 | 8 / 7 | |
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| ab initio | a benissio, abenisio | 2 | 5 / 5 | |
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| AliExpress | Alley, Alliance | 2 | 7 / 7 | |
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| DeepSeek | DeepSee, DeepC | 2 | 12 / 9 | |
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| DMARC | GMARC, Dimark | 2 | 5 / 5 | |
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| Hannah | Hanna, Anna | 2 | 6 / 6 | |
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| Jupyter | Jupiter | 2 | 10 / 10 | |
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| Karpathy | Karpathi, Karpathi's | 2 | 10 / 10 | |
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| MiniMax | Mini Max | 2 | 8 / 8 | |
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| Netanyahu | Etanyahu, Etnia | 2 | 6 / 6 | |
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| ONNX | ONIX, onyx | 2 | 10 / 10 | |
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| Qwen | Qwen1, quen | 2 | 13 / 11 | |
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| Sabich | Tzabich, Savich | 2 | 22 / 11 | |
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| series | Ceres, Siries | 2 | 5 / 5 | |
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| TTS | CTS, tth | 2 | 9 / 7 | |
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| Ubiquiti | ubiquity | 2 | 6 / 6 | |
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| WhisperX | Whisper X, Whisper Air | 2 | 6 / 6 | |
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| Z alias | ZALAS, Zed Elias | 2 | 5 / 5 | |
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| abliteration | Obliteration | 1 | 5 / 5 | |
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| agentic | agenda | 1 | 5 / 5 | |
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| Ali | Alley | 1 | 8 / 8 | |
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| AMD | MD | 1 | 5 / 5 | |
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| APK | ABK | 1 | 6 / 6 | |
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| ASR | ACR | 1 | 6 / 6 | |
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| backhaul | backall | 1 | 6 / 6 | |
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| Bezeq | Bezek | 1 | 4 / 4 | |
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| Bituach Leumi | betuachlomi | 1 | 9 / 6 | |
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| Boxty | E box d | 1 | | |
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| Carrot Cake AI | Karrot Cake AI | 1 | 10 / 10 | |
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| Chatterbox | Shatterbox | 1 | 10 / 10 | |
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| Chevrat Hashmal | Chashmal Yisrael | 1 | 4 / 4 | |
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| Claude in Chrome | Claude Grouping Chrome | 1 | 4 / 4 | |
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| co.il | co.al | 1 | 4 / 4 | |
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| do you want me | Dramat me | 1 | 4 / 4 | |
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| DSR Holdings | Vidyester Holdings | 1 | 8 / 8 | |
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| eSpeak | Espeak | 1 | 10 / 10 | |
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| EXE | AXE | 1 | 10 / 10 | |
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| exports | experts | 1 | 6 / 6 | |
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| Ezra | Esther | 1 | 5 / 5 | |
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| fal | Fel | 1 | 5 / 5 | |
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| feedback loop | feedback leap | 1 | 6 / 6 | |
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| few-shot | fusil | 1 | 7 / 5 | |
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| fill | Phil | 1 | 6 / 6 | |
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| gut chodesh | Good church chodesh | 1 | 6 / 6 | |
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| Hagihon | Gichon | 1 | 4 / 4 | |
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| Hegseth | Hagsets | 1 | 5 / 5 | |
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| in bed | embed | 1 | 6 / 6 | |
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| inbound | for bound | 1 | 4 / 4 | |
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| inline | inland | 1 | 5 / 5 | |
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| Ivory | Ivor | 1 | 8 / 8 | |
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| Janglo | Danglo | 1 | 5 / 5 | |
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| Jupyter Notebook | Jupiter notebooks | 1 | 10 / 10 | |
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| Kaizen | Kaiser | 1 | 5 / 5 | |
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| Kdenlive | Caden Live | 1 | 10 / 10 | |
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| KSP | NKS | 1 | 8 / 8 | |
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| lav mic | Lav Mike | 1 | 4 / 4 | |
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| LLM | nelam | 1 | 12 / 7 | |
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| marking | marketing | 1 | 4 / 4 | |
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| mass sender | math sender | 1 | 6 / 6 | |
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| Meorav | Maorab | 1 | 17 / 11 | |
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| Modbus | Mod bus | 1 | 6 / 6 | |
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| Muse Spark | News Spark | 1 | 5 / 5 | |
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| NIC | NISH | 1 | 6 / 6 | |
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| nikud | ikut | 1 | 6 / 6 | |
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| Nvidia | NVideo | 1 | 6 / 6 | |
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| Ollama | ulama | 1 | 13 / 8 | |
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| OPNsense | OpenSense | 1 | 5 / 5 | |
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| Opus | Focus | 1 | 7 / 5 | |
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| populated | opulated | 1 | 4 / 4 | |
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| post-processing | PostgreSQL processing | 1 | 5 / 5 | |
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| prosody | porosity | 1 | 10 / 10 | |
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| pseudospam | Surasfam | 1 | 3 / 3 | |
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| Qdrant | Qdrint | 1 | 5 / 5 | |
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| rclone | Arclone | 1 | 4 / 4 | |
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| regex | RedJack | 1 | 6 / 6 | |
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| remote | ote | 1 | 4 / 4 | |
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| repo | Refo | 1 | 4 / 4 | |
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| SaaS | SAS | 1 | 5 / 5 | |
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| SBC | SPCAdmin | 1 | 5 / 5 | |
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| SFP | SFEN | 1 | 6 / 6 | |
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| Sonnet | Sommet | 1 | 8 / 8 | |
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| spray and pray | spray and prey | 1 | 6 / 6 | |
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| SSE | SSC | 1 | 6 / 5 | |
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| subscription | prescription | 1 | 4 / 4 | |
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| Superwhisper | Superwisper | 1 | 5 / 5 | |
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| system tray | system try | 1 | 4 / 4 | |
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| tab | top | 1 | 4 / 4 | |
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| tell her | Teller | 1 | 4 / 4 | |
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| TP-Link | TPM | 1 | 6 / 6 | |
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| vibe code | Vipecode | 1 | 6 / 6 | |
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| vocab | Rocab | 1 | 4 / 4 | |
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| Whisperian | Wisperion | 1 | 5 / 5 | |
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| Fritter | | 0 | 12 / 10 | |
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| gezuntheit | | 0 | 6 / 6 | |
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| vibe coded | Vipecode | 0 | 6 / 6 | |
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| vibe coding | Vipecode | 0 | 6 / 6 | |
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| zei gezunt | | 0 | 6 / 6 | |
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## Release tests
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{"word": "vibe code", "heard_as": ["Vipecode"], "kinds": ["ai_interactions"], "meaning": "to build software by prompting an AI agent", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained"}
|
| 151 |
-
{"word": "vocab", "heard_as": ["Rocab"], "kinds": ["other"], "meaning": "Vocabulary", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 4, "target": 4, "status": "trained"}
|
| 152 |
-
{"word": "Whisperian", "heard_as": ["Wisperion"], "kinds": ["tech"], "meaning": null, "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 5, "target": 5, "status": "trained"}
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+
{"word": "arXiv", "heard_as": ["arcs of", "Artives", "arcsiv", "argsiv", "Clike"], "kinds": ["tech"], "meaning": "open-access preprint server for papers", "occurrences": 5, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 2 |
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{"word": "Konsole", "heard_as": ["console"], "kinds": ["linux", "tech"], "meaning": "KDE terminal emulator", "occurrences": 4, "models": ["sabich Sabich v2.1", "sabich Sabich v2.2"], "first_seen": "2026-10-27", "last_seen": "2026-10-28", "takes": 5, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 3 |
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{"word": "abdominophrenic dyssynergia", "heard_as": ["abominophrenic dysinurgia"], "kinds": ["medical"], "meaning": "paradoxical diaphragm response causing visible bloating", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 4 |
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{"word": "accent transfer", "heard_as": ["Axon Transfer"], "kinds": ["tech"], "meaning": "how well an ASR fine-tune carries over to other accents", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 5 |
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{"word": "base", "heard_as": ["bass"], "kinds": ["tech"], "meaning": "base model a fine-tune starts from", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 6 |
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{"word": "code-switching", "heard_as": ["co-switching"], "kinds": ["tech"], "meaning": "mixing two languages in one sentence", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 7 |
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{"word": "DHL", "heard_as": ["HL"], "kinds": ["name"], "meaning": "courier company", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 8 |
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{"word": "dyspepsia", "heard_as": ["dyspepsy"], "kinds": ["medical"], "meaning": "indigestion; functional dyspepsia", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 9 |
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{"word": "feed", "heard_as": ["fee"], "kinds": ["tech"], "meaning": "podcast RSS feed", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 10 |
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{"word": "fluticasone", "heard_as": ["Fluticazone"], "kinds": ["drug", "medical"], "meaning": "inhaled corticosteroid", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 11 |
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{"word": "hunches", "heard_as": ["punches"], "kinds": ["other"], "meaning": "guesses", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 12 |
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{"word": "lifelike", "heard_as": ["lifly"], "kinds": ["other"], "meaning": "realistic", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 13 |
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{"word": "OTC", "heard_as": ["ODC"], "kinds": ["medical"], "meaning": "over-the-counter (medication)", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 14 |
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{"word": "pairs", "heard_as": ["pears"], "kinds": ["other"], "meaning": "training pairs (audio and transcript)", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 15 |
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{"word": "potentially", "heard_as": ["prudentially"], "kinds": ["other"], "meaning": "possibly", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 16 |
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{"word": "re-architect", "heard_as": ["re-arcolate"], "kinds": ["tech"], "meaning": "redesign a system's structure", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 17 |
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{"word": "Relvar", "heard_as": ["Ralvar"], "kinds": ["drug", "medical"], "meaning": "asthma inhaler (fluticasone furoate/vilanterol)", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 18 |
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{"word": "salbutamol", "heard_as": ["Samputumal"], "kinds": ["drug", "medical"], "meaning": "asthma reliever drug", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 19 |
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{"word": "sans-serif", "heard_as": ["Sanserif"], "kinds": ["other"], "meaning": "typeface style", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 20 |
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{"word": "serif", "heard_as": ["Sara"], "kinds": ["other"], "meaning": "typeface style", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 21 |
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{"word": "Singulair", "heard_as": ["Singular"], "kinds": ["drug", "medical"], "meaning": "montelukast, asthma tablet", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 22 |
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{"word": "spacer", "heard_as": ["Spacerin"], "kinds": ["medical"], "meaning": "inhaler spacer device", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 23 |
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{"word": "text", "heard_as": ["test"], "kinds": ["other"], "meaning": "as in text reproduction in image models", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 24 |
+
{"word": "Ventolin", "heard_as": ["Ventilin"], "kinds": ["drug", "medical"], "meaning": "salbutamol reliever inhaler", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 25 |
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{"word": "Vercel", "heard_as": ["inversel"], "kinds": ["tech"], "meaning": "web deployment platform", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
|
| 26 |
+
{"word": "My Weird Prompts", "heard_as": ["MyWord Prompts", "My WordPrompts", "My Word Promise", "mywordprompt", "My Word prompts"], "kinds": ["personal", "name"], "meaning": "Daniel's podcast", "occurrences": 7, "models": ["sabich Sabich v2.0", "sabich Sabich v2.1"], "first_seen": "2026-10-22", "last_seen": "2026-10-27", "takes": 14, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 27 |
+
{"word": "Typst", "heard_as": ["TyPst", "TIPS-type", "tips toypt", "TyPstip", "tipst", "Tips"], "kinds": ["tech"], "meaning": "typesetting system", "occurrences": 6, "models": ["sabich Sabich v2.0", "sabich Sabich v2.1"], "first_seen": "2026-10-24", "last_seen": "2026-10-27", "takes": 9, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 28 |
+
{"word": "CLAUDE.md", "heard_as": ["userlevelclaw.md", "4 MD", "Claude NMD", "FlawdMD"], "kinds": ["ai_interactions", "tech"], "meaning": "Claude Code instruction file", "occurrences": 4, "models": ["sabich Sabich v2.0", "sabich Sabich v2.1"], "first_seen": "2026-10-24", "last_seen": "2026-10-27", "takes": 9, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 29 |
+
{"word": "Easy Effects", "heard_as": ["EasyFX"], "kinds": ["linux", "tech"], "meaning": "Linux PipeWire audio effects app", "occurrences": 4, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 5, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 30 |
+
{"word": "Infisical", "heard_as": ["Infiniscal", "Infinisco", "Inphysical", "physical"], "kinds": ["tech"], "meaning": "secrets manager", "occurrences": 4, "models": ["sabich Sabich v2.0", "sabich Sabich v2.1"], "first_seen": "2026-10-23", "last_seen": "2026-10-27", "takes": 8, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 31 |
+
{"word": "disfluency", "heard_as": ["disluency", "Dispuency", "fluencies"], "kinds": ["tech", "ai_interactions"], "meaning": "ums, false starts, repetitions in speech", "occurrences": 3, "models": ["sabich Sabich v2.0", "sabich Sabich v2.1"], "first_seen": "2026-10-24", "last_seen": "2026-10-27", "takes": 9, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 32 |
+
{"word": "mic", "heard_as": ["Mike"], "kinds": ["other"], "meaning": "short for microphone", "occurrences": 3, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 5, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 33 |
+
{"word": "Composio", "heard_as": ["Compi Posio", "Compose"], "kinds": ["ai_interactions", "tech"], "meaning": "tool-integration platform for AI agents", "occurrences": 2, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 34 |
+
{"word": "OnePlus Nord 3 5G", "heard_as": ["OnePlus Nord 3.5G", "OnePlus Nord 35G"], "kinds": ["tech"], "meaning": "Android phone model", "occurrences": 2, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 35 |
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{"word": "Parakeet", "heard_as": ["Power Key", "PowerKey"], "kinds": ["ai_interactions", "tech"], "meaning": "NVIDIA's Parakeet ASR model family", "occurrences": 2, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 36 |
+
{"word": "auto gain", "heard_as": ["auto game"], "kinds": ["tech"], "meaning": "automatic gain control for audio input", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 37 |
+
{"word": "convention", "heard_as": ["invention"], "kinds": ["other"], "meaning": "an agreed standard or format", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 38 |
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{"word": "cutlery", "heard_as": ["cuddlery"], "kinds": ["other"], "meaning": "knives, forks and spoons", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 39 |
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{"word": "Debian", "heard_as": ["Debin"], "kinds": ["tech", "linux"], "meaning": "Linux distribution; .deb packages", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 40 |
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{"word": "IBM Plex Sans", "heard_as": ["IBM Plexans"], "kinds": ["tech"], "meaning": "open-source typeface", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 41 |
+
{"word": "MCP", "heard_as": ["MCP2"], "kinds": ["ai_interactions", "tech"], "meaning": "Model Context Protocol", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 19, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 42 |
+
{"word": "MCP Hub", "heard_as": ["MCB Hub"], "kinds": ["ai_interactions", "tech"], "meaning": "MCP server aggregator project", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 3, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 43 |
+
{"word": "OTP", "heard_as": ["OTB"], "kinds": ["tech"], "meaning": "one-time password", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 5, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 44 |
+
{"word": "STT", "heard_as": ["SST"], "kinds": ["tech", "ai_interactions"], "meaning": "speech-to-text", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 45 |
+
{"word": "tech vocab", "heard_as": ["type vocab"], "kinds": ["ai_interactions"], "meaning": "technical vocabulary (training category)", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 46 |
+
{"word": "ThinkPad", "heard_as": ["ThinkPaddy"], "kinds": ["tech"], "meaning": "Lenovo laptop line", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
|
| 47 |
+
{"word": "Claude Code", "heard_as": ["clawed code", "clawed", "claud", "clawed coat", "claw code", "Core Code", "claudcode", "claud Code", "the claud", "clause claud code"], "kinds": ["tech", "ai_interactions"], "meaning": "Anthropic's coding agent CLI", "occurrences": 15, "models": ["sabich Sabich v2.0", "sabich v2.0", "sabich v2.1"], "first_seen": "2026-10-22", "last_seen": "2026-10-26", "takes": 12, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 48 |
+
{"word": "LoRA", "heard_as": ["Lores", "Loas", "Laura", "lores", "Loa", "LoRa", "lore", "lures"], "kinds": ["tech", "ai_interactions"], "meaning": "low-rank adapter fine-tuning", "occurrences": 15, "models": ["sabich Sabich v2.0", "sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-24", "takes": 8, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 49 |
+
{"word": "ROCm", "heard_as": ["ROCM", "Rockham", "Rockin", "RCM", "Rock'em"], "kinds": ["tech", "linux"], "meaning": "AMD's open-source GPU compute stack (like CUDA)", "occurrences": 15, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-23", "takes": 12, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 50 |
+
{"word": "Corn", "heard_as": ["Coren", "Cornak's", "Eminent Corn", "Corner", "Korn", "Corin"], "kinds": ["personal", "name"], "meaning": "co-host on Daniel's podcast My Weird Prompts", "occurrences": 6, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 51 |
+
{"word": "Hugging Face", "heard_as": ["Hooking Face", "hugging face", "hooking face", "Hogging Face", "hogging face"], "kinds": ["tech", "ai_interactions"], "meaning": "the AI model and dataset hub", "occurrences": 6, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-24", "takes": 11, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 52 |
+
{"word": "Hebrish", "heard_as": ["HeBrish", "Hebris", "keybrush", "Hebrew Shop", "Hebrew shtal"], "kinds": ["personal", "tech"], "meaning": "Daniel's Hebrew-English code-switching ASR project, app and Hugging Face org", "occurrences": 5, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-24", "takes": 13, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 53 |
+
{"word": "NocoDB", "heard_as": ["No CodeDB", "Nocode", "NokoDB", "Noko DB"], "kinds": ["tech"], "meaning": "open-source no-code database", "occurrences": 4, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 54 |
+
{"word": "skill", "heard_as": ["scale", "kills"], "kinds": ["ai_interactions"], "meaning": "Agent skill (Claude Code)", "occurrences": 4, "models": ["sabich Sabich v2.0", "sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-25", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 55 |
+
{"word": "8BitDo", "heard_as": ["8-bit do", "four-bit do"], "kinds": ["tech"], "meaning": "8BitDo, maker of Bluetooth game controllers and macro pads", "occurrences": 3, "models": ["sabich v2.1"], "first_seen": "2026-10-25", "last_seen": "2026-10-26", "takes": 9, "target": 9, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 56 |
+
{"word": "Cloudflare", "heard_as": ["cloud fair", "Cloud Claire", "Cloud Clare"], "kinds": ["tech"], "meaning": "CDN and network provider", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 57 |
+
{"word": "Colab", "heard_as": ["Collab", "collab"], "kinds": ["tech"], "meaning": "Google's hosted notebook service", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 58 |
+
{"word": "evals", "heard_as": ["evalves", "valves", "haval"], "kinds": ["tech", "ai_interactions"], "meaning": "AI model evaluations", "occurrences": 3, "models": ["sabich Sabich v2.0", "sabich v2.1"], "first_seen": "2026-10-23", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 59 |
+
{"word": "F-Droid", "heard_as": ["FDroid", "Fdroid"], "kinds": ["tech"], "meaning": "the open-source Android app store", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-23", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 60 |
+
{"word": "Nemotron", "heard_as": ["Nematron", "Nementron"], "kinds": ["tech", "ai_interactions"], "meaning": "NVIDIA's Nemotron model family (a streaming ASR model here)", "occurrences": 3, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 13, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 61 |
+
{"word": "Unsloth", "heard_as": ["Unsoft", "On Sloth", "Onsloth"], "kinds": ["tech", "ai_interactions"], "meaning": "fine-tuning library and platform", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 8, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 62 |
+
{"word": "ab initio", "heard_as": ["a benissio", "abenisio"], "kinds": ["other"], "meaning": "Latin: from the beginning", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 63 |
+
{"word": "AliExpress", "heard_as": ["Alley", "Alliance"], "kinds": ["other"], "meaning": "AliExpress, the online marketplace", "occurrences": 2, "models": ["sabich v2.1"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 7, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 64 |
+
{"word": "DeepSeek", "heard_as": ["DeepSee", "DeepC"], "kinds": ["ai_interactions", "tech"], "meaning": "Chinese LLM provider", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-25", "takes": 12, "target": 9, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 65 |
+
{"word": "DMARC", "heard_as": ["GMARC", "Dimark"], "kinds": ["tech"], "meaning": "Email authentication policy", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 66 |
+
{"word": "Hannah", "heard_as": ["Hanna", "Anna"], "kinds": ["personal", "name"], "meaning": "Daniel's wife", "occurrences": 2, "models": ["sabich v2.0", "sabich v2.1"], "first_seen": "2026-10-23", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 67 |
+
{"word": "Jupyter", "heard_as": ["Jupiter"], "kinds": ["tech"], "meaning": "Open-source project behind Jupyter Notebook and JupyterLab; pronounced like the planet Jupiter", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-23", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 68 |
+
{"word": "Karpathy", "heard_as": ["Karpathi", "Karpathi's"], "kinds": ["name", "tech"], "meaning": "Andrej Karpathy, AI researcher and educator (ex-OpenAI, ex-Tesla AI)", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 69 |
+
{"word": "MiniMax", "heard_as": ["Mini Max"], "kinds": ["ai_interactions"], "meaning": "MiniMax, Chinese AI lab and model family", "occurrences": 2, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 8, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 70 |
+
{"word": "Netanyahu", "heard_as": ["Etanyahu", "Etnia"], "kinds": ["name", "hebrew"], "meaning": "Israeli prime minister", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 71 |
+
{"word": "ONNX", "heard_as": ["ONIX", "onyx"], "kinds": ["tech", "ai_interactions"], "meaning": "the Open Neural Network Exchange model format", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-24", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 72 |
+
{"word": "Qwen", "heard_as": ["Qwen1", "quen"], "kinds": ["tech", "ai_interactions"], "meaning": "Alibaba's Qwen model family", "occurrences": 2, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-23", "takes": 13, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 73 |
+
{"word": "Sabich", "heard_as": ["Tzabich", "Savich"], "kinds": ["personal", "hebrew", "tech"], "meaning": "Daniel's main ASR fine-tune, named after the Israeli sandwich", "occurrences": 2, "models": ["sabich v2.1"], "first_seen": "2026-10-21", "last_seen": "2026-10-26", "takes": 22, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 74 |
+
{"word": "series", "heard_as": ["Ceres", "Siries"], "kinds": ["other"], "meaning": null, "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 75 |
+
{"word": "TTS", "heard_as": ["CTS", "tth"], "kinds": ["tech", "ai_interactions"], "meaning": "text-to-speech", "occurrences": 2, "models": ["sabich Sabich v2.0", "sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 9, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 76 |
+
{"word": "Ubiquiti", "heard_as": ["ubiquity"], "kinds": ["tech"], "meaning": "Ubiquiti, the UniFi networking brand", "occurrences": 2, "models": ["sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 77 |
+
{"word": "WhisperX", "heard_as": ["Whisper X", "Whisper Air"], "kinds": ["tech", "ai_interactions"], "meaning": "WhisperX, Whisper with word timestamps and alignment", "occurrences": 2, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 78 |
+
{"word": "Z alias", "heard_as": ["ZALAS", "Zed Elias"], "kinds": ["linux"], "meaning": "zoxide shortcut to a repo", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 79 |
+
{"word": "abliteration", "heard_as": ["Obliteration"], "kinds": ["tech", "ai_interactions"], "meaning": "removing refusal behaviour from model weights", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 80 |
+
{"word": "agentic", "heard_as": ["agenda"], "kinds": ["ai_interactions"], "meaning": null, "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 81 |
+
{"word": "Ali", "heard_as": ["Alley"], "kinds": ["other"], "meaning": "short for AliExpress, the online marketplace", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 8, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 82 |
+
{"word": "AMD", "heard_as": ["MD"], "kinds": ["tech"], "meaning": "GPU and CPU maker", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 83 |
+
{"word": "APK", "heard_as": ["ABK"], "kinds": ["tech"], "meaning": "Android app package", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 84 |
+
{"word": "ASR", "heard_as": ["ACR"], "kinds": ["tech"], "meaning": "automatic speech recognition", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 85 |
+
{"word": "backhaul", "heard_as": ["backall"], "kinds": ["tech"], "meaning": "the link from a mesh node or AP back to the main network", "occurrences": 1, "models": ["sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 86 |
+
{"word": "Bezeq", "heard_as": ["Bezek"], "kinds": ["hebrew", "name"], "meaning": "Israeli telecom / internet provider", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 87 |
+
{"word": "Bituach Leumi", "heard_as": ["betuachlomi"], "kinds": ["hebrew"], "meaning": "National Insurance Institute", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 9, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 88 |
+
{"word": "Boxty", "heard_as": ["E box d"], "kinds": ["personal"], "meaning": null, "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": null, "target": null, "status": "not-listed", "priority": "normal", "active": false, "source": "history"}
|
| 89 |
+
{"word": "Carrot Cake AI", "heard_as": ["Karrot Cake AI"], "kinds": ["personal"], "meaning": "a company/brand name Daniel uses, linked from his profiles", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 90 |
+
{"word": "Chatterbox", "heard_as": ["Shatterbox"], "kinds": ["tech", "ai_interactions"], "meaning": "Resemble AI's open-source TTS model", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 91 |
+
{"word": "Chevrat Hashmal", "heard_as": ["Chashmal Yisrael"], "kinds": ["hebrew", "name"], "meaning": "Israel Electric Corporation", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 92 |
+
{"word": "Claude in Chrome", "heard_as": ["Claude Grouping Chrome"], "kinds": ["ai_interactions"], "meaning": "Claude browser extension", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 93 |
+
{"word": "co.il", "heard_as": ["co.al"], "kinds": ["tech"], "meaning": "Israeli domain suffix", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 94 |
+
{"word": "do you want me", "heard_as": ["Dramat me"], "kinds": ["other"], "meaning": "Plain English phrase", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 95 |
+
{"word": "DSR Holdings", "heard_as": ["Vidyester Holdings"], "kinds": ["personal", "name"], "meaning": "Daniel's company", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 8, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 96 |
+
{"word": "eSpeak", "heard_as": ["Espeak"], "kinds": ["linux"], "meaning": "the open-source speech synthesizer", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 97 |
+
{"word": "EXE", "heard_as": ["AXE"], "kinds": ["tech"], "meaning": "the Windows executable file format, said as letters", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 98 |
+
{"word": "exports", "heard_as": ["experts"], "kinds": ["tech"], "meaning": "exports (data files)", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 99 |
+
{"word": "Ezra", "heard_as": ["Esther"], "kinds": ["personal", "name"], "meaning": "the speaker's baby son, a toddler born in 2025; sentences about family life, never work", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 100 |
+
{"word": "fal", "heard_as": ["Fel"], "kinds": ["tech", "ai_interactions"], "meaning": "generative media API platform (fal.ai)", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 101 |
+
{"word": "feedback loop", "heard_as": ["feedback leap"], "kinds": ["other"], "meaning": "feedback loop", "occurrences": 1, "models": ["sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 102 |
+
{"word": "few-shot", "heard_as": ["fusil"], "kinds": ["ai_interactions"], "meaning": "prompting with a few examples", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 7, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 103 |
+
{"word": "fill", "heard_as": ["Phil"], "kinds": ["other"], "meaning": "to fill (a gap)", "occurrences": 1, "models": ["sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 104 |
+
{"word": "gut chodesh", "heard_as": ["Good church chodesh"], "kinds": ["yiddish"], "meaning": "Yiddish greeting for a new Hebrew month", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 105 |
+
{"word": "Hagihon", "heard_as": ["Gichon"], "kinds": ["hebrew", "name"], "meaning": "Jerusalem water corporation", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 106 |
+
{"word": "Hegseth", "heard_as": ["Hagsets"], "kinds": ["name"], "meaning": "US Secretary of Defense", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 107 |
+
{"word": "in bed", "heard_as": ["embed"], "kinds": ["other"], "meaning": "in bed", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 108 |
+
{"word": "inbound", "heard_as": ["for bound"], "kinds": ["other"], "meaning": "Incoming (email)", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 109 |
+
{"word": "inline", "heard_as": ["inland"], "kinds": ["tech"], "meaning": "inline (code, block)", "occurrences": 1, "models": ["sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 110 |
+
{"word": "Ivory", "heard_as": ["Ivor"], "kinds": ["name"], "meaning": "Ivory, Israeli computer retailer", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 8, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 111 |
+
{"word": "Janglo", "heard_as": ["Danglo"], "kinds": ["name"], "meaning": "English-speakers' community site in Israel", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 112 |
+
{"word": "Jupyter Notebook", "heard_as": ["Jupiter notebooks"], "kinds": ["tech"], "meaning": "Interactive Python notebook environment (.ipynb files) for data science and ML", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 113 |
+
{"word": "Kaizen", "heard_as": ["Kaiser"], "kinds": ["other"], "meaning": "continuous small-step improvement", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 114 |
+
{"word": "Kdenlive", "heard_as": ["Caden Live"], "kinds": ["linux"], "meaning": "the KDE video editor", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 115 |
+
{"word": "KSP", "heard_as": ["NKS"], "kinds": ["name"], "meaning": "KSP, Israeli computer retailer", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 8, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 116 |
+
{"word": "lav mic", "heard_as": ["Lav Mike"], "kinds": ["other"], "meaning": "Lavalier microphone", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 117 |
+
{"word": "LLM", "heard_as": ["nelam"], "kinds": ["ai_interactions"], "meaning": "large language model", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 12, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 118 |
+
{"word": "marking", "heard_as": ["marketing"], "kinds": ["other"], "meaning": "As in marking complete", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 119 |
+
{"word": "mass sender", "heard_as": ["math sender"], "kinds": ["other"], "meaning": "bulk email sender", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 120 |
+
{"word": "Meorav", "heard_as": ["Maorab"], "kinds": ["personal", "hebrew"], "meaning": "Daniel's TTS voice-clone model; Hebrew for 'mixed'", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 17, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 121 |
+
{"word": "Modbus", "heard_as": ["Mod bus"], "kinds": ["tech", "smart_home"], "meaning": "Modbus, industrial/smart-home serial protocol", "occurrences": 1, "models": ["sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 122 |
+
{"word": "Muse Spark", "heard_as": ["News Spark"], "kinds": ["ai_interactions"], "meaning": "LLM", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 123 |
+
{"word": "NIC", "heard_as": ["NISH"], "kinds": ["tech"], "meaning": "network interface card", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 124 |
+
{"word": "nikud", "heard_as": ["ikut"], "kinds": ["hebrew"], "meaning": "Hebrew vowel points", "occurrences": 1, "models": ["sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 125 |
+
{"word": "Nvidia", "heard_as": ["NVideo"], "kinds": ["tech"], "meaning": "GPU maker", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 126 |
+
{"word": "Ollama", "heard_as": ["ulama"], "kinds": ["tech", "ai_interactions"], "meaning": "local LLM runner", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 13, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 127 |
+
{"word": "OPNsense", "heard_as": ["OpenSense"], "kinds": ["tech", "linux"], "meaning": "Open-source firewall OS", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 128 |
+
{"word": "Opus", "heard_as": ["Focus"], "kinds": ["ai_interactions"], "meaning": "Claude Opus model, as in Opus 5.5", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 7, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 129 |
+
{"word": "populated", "heard_as": ["opulated"], "kinds": ["other"], "meaning": "Filled in", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 130 |
+
{"word": "post-processing", "heard_as": ["PostgreSQL processing"], "kinds": ["tech"], "meaning": "cleanup applied to ASR output", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 131 |
+
{"word": "prosody", "heard_as": ["porosity"], "kinds": ["other"], "meaning": "the rhythm, stress and intonation of speech, as in TTS", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 132 |
+
{"word": "pseudospam", "heard_as": ["Surasfam"], "kinds": ["personal"], "meaning": "Daniel's term for generic non-spam bulk email", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 3, "target": 3, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 133 |
+
{"word": "Qdrant", "heard_as": ["Qdrint"], "kinds": ["tech"], "meaning": "open-source vector database", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 134 |
+
{"word": "rclone", "heard_as": ["Arclone"], "kinds": ["tech", "linux"], "meaning": "Cloud storage sync CLI", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 135 |
+
{"word": "regex", "heard_as": ["RedJack"], "kinds": ["tech"], "meaning": "regular expression", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 136 |
+
{"word": "remote", "heard_as": ["ote"], "kinds": ["tech"], "meaning": "As in remote agent", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 137 |
+
{"word": "repo", "heard_as": ["Refo"], "kinds": ["tech"], "meaning": "Repository", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 138 |
+
{"word": "SaaS", "heard_as": ["SAS"], "kinds": ["tech"], "meaning": "software as a service", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 139 |
+
{"word": "SBC", "heard_as": ["SPCAdmin"], "kinds": ["tech", "linux"], "meaning": "Single-board computer, e.g. Raspberry Pi", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 140 |
+
{"word": "SFP", "heard_as": ["SFEN"], "kinds": ["tech"], "meaning": "SFP, pluggable network transceiver port", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 141 |
+
{"word": "Sonnet", "heard_as": ["Sommet"], "kinds": ["tech", "ai_interactions"], "meaning": "Anthropic's mid-tier Claude model", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 8, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 142 |
+
{"word": "spray and pray", "heard_as": ["spray and prey"], "kinds": ["other"], "meaning": "untargeted mass approach", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 143 |
+
{"word": "SSE", "heard_as": ["SSC"], "kinds": ["tech"], "meaning": "server-sent events (MCP transport)", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 6, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 144 |
+
{"word": "subscription", "heard_as": ["prescription"], "kinds": ["other"], "meaning": "Subscription (Claude Max)", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 145 |
+
{"word": "Superwhisper", "heard_as": ["Superwisper"], "kinds": ["tech"], "meaning": "macOS dictation app", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 146 |
+
{"word": "system tray", "heard_as": ["system try"], "kinds": ["linux"], "meaning": "Desktop notification area", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 147 |
+
{"word": "tab", "heard_as": ["top"], "kinds": ["tech"], "meaning": "Browser tab", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 148 |
+
{"word": "tell her", "heard_as": ["Teller"], "kinds": ["other"], "meaning": "Plain English phrase", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-25", "last_seen": "2026-10-25", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 149 |
+
{"word": "TP-Link", "heard_as": ["TPM"], "kinds": ["tech"], "meaning": "TP-Link, networking hardware brand", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 150 |
+
{"word": "vibe code", "heard_as": ["Vipecode"], "kinds": ["ai_interactions"], "meaning": "to build software by prompting an AI agent", "occurrences": 1, "models": ["sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-26", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 151 |
+
{"word": "vocab", "heard_as": ["Rocab"], "kinds": ["other"], "meaning": "Vocabulary", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 152 |
+
{"word": "Whisperian", "heard_as": ["Wisperion"], "kinds": ["tech"], "meaning": null, "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
|
| 153 |
+
{"word": "Fritter", "heard_as": [], "kinds": ["personal"], "meaning": "Daniel's no-Hebrew ASR fine-tune (renamed from Boxty on 2026-10-22), named after the Irish fritter", "occurrences": 0, "models": [], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 12, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
|
| 154 |
+
{"word": "gezuntheit", "heard_as": [], "kinds": ["yiddish"], "meaning": "Yiddish: bless you, said after someone sneezes (pronounced gezunteit)", "occurrences": 0, "models": [], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
|
| 155 |
+
{"word": "vibe coded", "heard_as": ["Vipecode"], "kinds": ["ai_interactions"], "meaning": "building software by prompting an AI agent (form of vibe code)", "occurrences": 0, "models": [], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
|
| 156 |
+
{"word": "vibe coding", "heard_as": ["Vipecode"], "kinds": ["ai_interactions"], "meaning": "building software by prompting an AI agent (form of vibe code)", "occurrences": 0, "models": [], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
|
| 157 |
+
{"word": "zei gezunt", "heard_as": [], "kinds": ["yiddish"], "meaning": "Yiddish: be well, also said after a sneeze", "occurrences": 0, "models": [], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
|