Error list: 169 words, 303 occurrences (review 2026-10-29)

README.md

@@ -23,7 +23,7 @@ code-switching, Jerusalem). Each word here is fed back into training as a **prio
 recording app serves sentences with it first until there are enough takes of it. No transcript text,
 audio or other content of the dictations is published, only the word, the wrong forms and the model.
 
-- 157 words, 279 occurrences. Last review: 2026-10-28.
+- 169 words, 303 occurrences. Last review: 2026-10-29.
 - `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
   version); `model_rev` is the exact weights' revision, recorded from app 0.7.3. Errors from before
   the app recorded the model have none.
@@ -38,61 +38,74 @@ Active words first, high priority first among them.
 
 | Word | Heard as | Occurrences | Takes / target | Active priority |
 |---|---|---|---|---|
-| arXiv | arcs of, Artives, arcsiv, argsiv, Clike | 5 | 0 / 20 | high |
-| Konsole | console | 4 | 5 / 20 | high |
-| abdominophrenic dyssynergia | abominophrenic dysinurgia | 1 | 0 / 20 | high |
-| accent transfer | Axon Transfer | 1 | 0 / 20 | high |
-| base | bass | 1 | 0 / 20 | high |
-| code-switching | co-switching | 1 | 0 / 20 | high |
-| DHL | HL | 1 | 0 / 20 | high |
-| dyspepsia | dyspepsy | 1 | 0 / 20 | high |
-| feed | fee | 1 | 0 / 20 | high |
-| fluticasone | Fluticazone | 1 | 0 / 20 | high |
-| hunches | punches | 1 | 0 / 20 | high |
-| lifelike | lifly | 1 | 0 / 20 | high |
-| OTC | ODC | 1 | 0 / 20 | high |
-| pairs | pears | 1 | 0 / 20 | high |
-| potentially | prudentially | 1 | 0 / 20 | high |
-| re-architect | re-arcolate | 1 | 0 / 20 | high |
-| Relvar | Ralvar | 1 | 0 / 20 | high |
-| salbutamol | Samputumal | 1 | 0 / 20 | high |
-| sans-serif | Sanserif | 1 | 0 / 20 | high |
-| serif | Sara | 1 | 0 / 20 | high |
-| Singulair | Singular | 1 | 0 / 20 | high |
-| spacer | Spacerin | 1 | 0 / 20 | high |
-| text | test | 1 | 0 / 20 | high |
-| Ventolin | Ventilin | 1 | 0 / 20 | high |
-| Vercel | inversel | 1 | 0 / 20 | high |
-| My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt, My Word prompts | 7 | 14 / 20 | normal |
-| Typst | TyPst, TIPS-type, tips toypt, TyPstip, tipst, Tips | 6 | 9 / 20 | normal |
-| CLAUDE.md | userlevelclaw.md, 4 MD, Claude NMD, FlawdMD | 4 | 9 / 20 | normal |
-| Easy Effects | EasyFX | 4 | 5 / 20 | normal |
-| Infisical | Infiniscal, Infinisco, Inphysical, physical | 4 | 8 / 20 | normal |
-| disfluency | disluency, Dispuency, fluencies | 3 | 9 / 20 | normal |
-| mic | Mike | 3 | 5 / 20 | normal |
-| Composio | Compi Posio, Compose | 2 | 4 / 20 | normal |
-| OnePlus Nord 3 5G | OnePlus Nord 3.5G, OnePlus Nord 35G | 2 | 4 / 20 | normal |
-| Parakeet | Power Key, PowerKey | 2 | 7 / 20 | normal |
-| auto gain | auto game | 1 | 4 / 20 | normal |
-| convention | invention | 1 | 4 / 20 | normal |
-| cutlery | cuddlery | 1 | 4 / 20 | normal |
-| Debian | Debin | 1 | 7 / 20 | normal |
-| IBM Plex Sans | IBM Plexans | 1 | 4 / 20 | normal |
-| MCP | MCP2 | 1 | 19 / 20 | normal |
-| MCP Hub | MCB Hub | 1 | 3 / 20 | normal |
-| OTP | OTB | 1 | 5 / 20 | normal |
-| STT | SST | 1 | 7 / 20 | normal |
-| tech vocab | type vocab | 1 | 4 / 20 | normal |
-| ThinkPad | ThinkPaddy | 1 | 4 / 20 | normal |
-| Claude Code | clawed code, clawed, claud, clawed coat, claw code, Core Code, claudcode, claud Code, the claud, clause claud code | 15 | 12 / 6 |  |
+| arXiv | arcs of, Artives, arcsiv, argsiv, Clike | 6 | 4 / 20 | high |
+| Konsole | console | 4 | 8 / 20 | high |
+| abdominophrenic dyssynergia | abominophrenic dysinurgia | 1 | 3 / 20 | high |
+| accent transfer | Axon Transfer | 1 | 4 / 20 | high |
+| base | bass | 1 | 4 / 20 | high |
+| code-switching | co-switching | 1 | 4 / 20 | high |
+| DHL | HL | 1 | 4 / 20 | high |
+| dyspepsia | dyspepsy | 1 | 3 / 20 | high |
+| feed | fee | 1 | 3 / 20 | high |
+| fluticasone | Fluticazone | 1 | 4 / 20 | high |
+| hunches | punches | 1 | 3 / 20 | high |
+| lifelike | lifly | 1 | 3 / 20 | high |
+| OTC | ODC | 1 | 3 / 20 | high |
+| pairs | pears | 1 | 4 / 20 | high |
+| potentially | prudentially | 1 | 3 / 20 | high |
+| re-architect | re-arcolate | 1 | 3 / 20 | high |
+| Relvar | Ralvar | 1 | 4 / 20 | high |
+| salbutamol | Samputumal | 1 | 2 / 20 | high |
+| sans-serif | Sanserif | 1 | 3 / 20 | high |
+| serif | Sara | 1 | 3 / 20 | high |
+| Singulair | Singular | 1 | 4 / 20 | high |
+| spacer | Spacerin | 1 | 4 / 20 | high |
+| text | test | 1 | 3 / 20 | high |
+| Ventolin | Ventilin | 1 | 4 / 20 | high |
+| Vercel | inversel | 1 | 4 / 20 | high |
+| My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt, My Word prompts | 7 | 17 / 20 | normal |
+| Typst | TyPst, TIPS-type, tips toypt, TyPstip, tipst, Tips | 6 | 12 / 20 | normal |
+| CLAUDE.md | userlevelclaw.md, 4 MD, Claude NMD, FlawdMD | 4 | 12 / 20 | normal |
+| Easy Effects | EasyFX | 4 | 8 / 20 | normal |
+| Infisical | Infiniscal, Infinisco, Inphysical, physical | 4 | 11 / 20 | normal |
+| AdGuard | Adgard, Adguard, ad? guard | 3 | 0 / 20 | normal |
+| disfluency | disluency, Dispuency, fluencies | 3 | 12 / 20 | normal |
+| mic | Mike | 3 | 8 / 20 | normal |
+| TEN VAD | Tenvad, 10vAD, 10VAD | 3 | 0 / 20 | normal |
+| Boxty | E box d, Boxy | 2 | 3 / 20 | normal |
+| Composio | Compi Posio, Compose | 2 | 7 / 20 | normal |
+| OnePlus Nord 3 5G | OnePlus Nord 3.5G, OnePlus Nord 35G | 2 | 7 / 20 | normal |
+| Parakeet | Power Key, PowerKey | 2 | 10 / 20 | normal |
+| RecForge II | Recforged, Rec Fortage | 2 | 0 / 20 | normal |
+| sqlite-vec | SQLite Fex, SQLite Bec | 2 | 0 / 20 | normal |
+| auto gain | auto game | 1 | 7 / 20 | normal |
+| capybara | kapybara | 1 | 0 / 20 | normal |
+| convention | invention | 1 | 7 / 20 | normal |
+| cutlery | cuddlery | 1 | 7 / 20 | normal |
+| Debian | Debin | 1 | 10 / 20 | normal |
+| Flic | Flick | 1 | 0 / 20 | normal |
+| IBM Plex Sans | IBM Plexans | 1 | 7 / 20 | normal |
+| Kokoro | Kikoro | 1 | 1 / 20 | normal |
+| manga | magma | 1 | 0 / 20 | normal |
+| MCP Hub | MCB Hub | 1 | 6 / 20 | normal |
+| OTP | OTB | 1 | 8 / 20 | normal |
+| STT | SST | 1 | 10 / 20 | normal |
+| tech vocab | type vocab | 1 | 7 / 20 | normal |
+| ThinkPad | ThinkPaddy | 1 | 7 / 20 | normal |
+| Truecaller | TrueColer | 1 | 0 / 20 | normal |
+| Twilio | Trilio | 1 | 1 / 20 | normal |
+| Yealink | Ya Link | 1 | 0 / 20 | normal |
+| Silero |  | 0 | 0 / 20 | normal |
+| Claude Code | clawed code, clawed, claud, clawed coat, claw code, Core Code, claudcode, claud Code, the claud, clause claud code | 15 | 13 / 6 |  |
 | LoRA | Lores, Loas, Laura, lores, Loa, LoRa, lore, lures | 15 | 8 / 6 |  |
 | ROCm | ROCM, Rockham, Rockin, RCM, Rock'em | 15 | 12 / 11 |  |
 | Corn | Coren, Cornak's, Eminent Corn, Corner, Korn, Corin | 6 | 5 / 5 |  |
 | Hugging Face | Hooking Face, hugging face, hooking face, Hogging Face, hogging face | 6 | 11 / 11 |  |
 | Hebrish | HeBrish, Hebris, keybrush, Hebrew Shop, Hebrew shtal | 5 | 13 / 11 |  |
+| 8BitDo | 8-bit do, four-bit do | 4 | 9 / 9 |  |
 | NocoDB | No CodeDB, Nocode, NokoDB, Noko DB | 4 | 6 / 6 |  |
+| Sabich | Tzabich, Savich, sabich | 4 | 22 / 11 |  |
 | skill | scale, kills | 4 | 5 / 5 |  |
-| 8BitDo | 8-bit do, four-bit do | 3 | 9 / 9 |  |
 | Cloudflare | cloud fair, Cloud Claire, Cloud Clare | 3 | 5 / 5 |  |
 | Colab | Collab, collab | 3 | 6 / 6 |  |
 | evals | evalves, valves, haval | 3 | 6 / 6 |  |
@@ -106,11 +119,12 @@ Active words first, high priority first among them.
 | Hannah | Hanna, Anna | 2 | 6 / 6 |  |
 | Jupyter | Jupiter | 2 | 10 / 10 |  |
 | Karpathy | Karpathi, Karpathi's | 2 | 10 / 10 |  |
+| KSP | NKS, Kiss | 2 | 8 / 8 |  |
 | MiniMax | Mini Max | 2 | 8 / 8 |  |
 | Netanyahu | Etanyahu, Etnia | 2 | 6 / 6 |  |
 | ONNX | ONIX, onyx | 2 | 10 / 10 |  |
+| Qdrant | Qdrint, Compute rant | 2 | 5 / 5 |  |
 | Qwen | Qwen1, quen | 2 | 13 / 11 |  |
-| Sabich | Tzabich, Savich | 2 | 22 / 11 |  |
 | series | Ceres, Siries | 2 | 5 / 5 |  |
 | TTS | CTS, tth | 2 | 9 / 7 |  |
 | Ubiquiti | ubiquity | 2 | 6 / 6 |  |
@@ -125,7 +139,6 @@ Active words first, high priority first among them.
 | backhaul | backall | 1 | 6 / 6 |  |
 | Bezeq | Bezek | 1 | 4 / 4 |  |
 | Bituach Leumi | betuachlomi | 1 | 9 / 6 |  |
-| Boxty | E box d | 1 |  |  |
 | Carrot Cake AI | Karrot Cake AI | 1 | 10 / 10 |  |
 | Chatterbox | Shatterbox | 1 | 10 / 10 |  |
 | Chevrat Hashmal | Chashmal Yisrael | 1 | 4 / 4 |  |
@@ -152,12 +165,12 @@ Active words first, high priority first among them.
 | Jupyter Notebook | Jupiter notebooks | 1 | 10 / 10 |  |
 | Kaizen | Kaiser | 1 | 5 / 5 |  |
 | Kdenlive | Caden Live | 1 | 10 / 10 |  |
-| KSP | NKS | 1 | 8 / 8 |  |
 | lav mic | Lav Mike | 1 | 4 / 4 |  |
-| LLM | nelam | 1 | 12 / 7 |  |
+| LLM | nelam | 1 | 13 / 7 |  |
 | marking | marketing | 1 | 4 / 4 |  |
 | mass sender | math sender | 1 | 6 / 6 |  |
-| Meorav | Maorab | 1 | 17 / 11 |  |
+| MCP | MCP2 | 1 | 20 / 20 |  |
+| Meorav | Maorab | 1 | 18 / 11 |  |
 | Modbus | Mod bus | 1 | 6 / 6 |  |
 | Muse Spark | News Spark | 1 | 5 / 5 |  |
 | NIC | NISH | 1 | 6 / 6 |  |
@@ -170,7 +183,6 @@ Active words first, high priority first among them.
 | post-processing | PostgreSQL processing | 1 | 5 / 5 |  |
 | prosody | porosity | 1 | 10 / 10 |  |
 | pseudospam | Surasfam | 1 | 3 / 3 |  |
-| Qdrant | Qdrint | 1 | 5 / 5 |  |
 | rclone | Arclone | 1 | 4 / 4 |  |
 | regex | RedJack | 1 | 6 / 6 |  |
 | remote | ote | 1 | 4 / 4 |  |

occurrences.jsonl

@@ -277,3 +277,27 @@
 {"word": "text", "heard_as": "test", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": "7cf1c1c9d57ef6ecb04e3b91bd7209546e0d1c04", "source": "dictate", "date": "2026-10-28"}
 {"word": "Ventolin", "heard_as": "Ventilin", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": "7cf1c1c9d57ef6ecb04e3b91bd7209546e0d1c04", "source": "dictate", "date": "2026-10-28"}
 {"word": "Vercel", "heard_as": "inversel", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": "7cf1c1c9d57ef6ecb04e3b91bd7209546e0d1c04", "source": "dictate", "date": "2026-10-28"}
+{"word": "8BitDo", "heard_as": "8-bit do", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "AdGuard", "heard_as": "Adgard", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "AdGuard", "heard_as": "Adguard", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "AdGuard", "heard_as": "ad? guard", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "arXiv", "heard_as": "arcsiv", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Boxty", "heard_as": "Boxy", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "capybara", "heard_as": "kapybara", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Flic", "heard_as": "Flick", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Kokoro", "heard_as": "Kikoro", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "KSP", "heard_as": "Kiss", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "manga", "heard_as": "magma", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Qdrant", "heard_as": "Compute rant", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "RecForge II", "heard_as": "Recforged", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "RecForge II", "heard_as": "Rec Fortage", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Sabich", "heard_as": "sabich", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Sabich", "heard_as": "sabich", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "sqlite-vec", "heard_as": "SQLite Fex", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "sqlite-vec", "heard_as": "SQLite Bec", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "TEN VAD", "heard_as": "Tenvad", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "TEN VAD", "heard_as": "10vAD", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "TEN VAD", "heard_as": "10VAD", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Truecaller", "heard_as": "TrueColer", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Twilio", "heard_as": "Trilio", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}
+{"word": "Yealink", "heard_as": "Ya Link", "model": "sabich Sabich v2.2", "model_line": "Sabich", "model_version": "v2.2", "model_rev": null, "source": "dictate", "date": "2026-10-29"}

words.jsonl

@@ -1,58 +1,71 @@
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
-{"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"}
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+{"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": 8, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "TEN VAD", "heard_as": ["Tenvad", "10vAD", "10VAD"], "kinds": ["tech", "ai_interactions"], "meaning": "TEN VAD, a lightweight open-source voice activity detection model from the TEN framework", "occurrences": 3, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "manual"}
+{"word": "Boxty", "heard_as": ["E box d", "Boxy"], "kinds": ["personal"], "meaning": null, "occurrences": 2, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-21", "last_seen": "2026-10-29", "takes": 3, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 10, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "RecForge II", "heard_as": ["Recforged", "Rec Fortage"], "kinds": ["tech"], "meaning": "RecForge II, an Android audio recorder app", "occurrences": 2, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "sqlite-vec", "heard_as": ["SQLite Fex", "SQLite Bec"], "kinds": ["tech"], "meaning": "SQLite extension for vector search", "occurrences": 2, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "capybara", "heard_as": ["kapybara"], "kinds": ["other"], "meaning": "the large South American rodent", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 10, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "Flic", "heard_as": ["Flick"], "kinds": ["tech", "smart_home"], "meaning": "Flic smart buttons, small wireless push buttons", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "manual"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "Kokoro", "heard_as": ["Kikoro"], "kinds": ["tech", "ai_interactions"], "meaning": "Kokoro, a small open-source text-to-speech model", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 1, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "manga", "heard_as": ["magma"], "kinds": ["other"], "meaning": "Japanese comic art style, as in anime and manga", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 6, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 8, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 10, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"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": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
+{"word": "Truecaller", "heard_as": ["TrueColer"], "kinds": ["tech"], "meaning": "caller ID and spam-blocking phone app", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "manual"}
+{"word": "Twilio", "heard_as": ["Trilio"], "kinds": ["tech"], "meaning": "cloud telephony and SMS API provider", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 1, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "manual"}
+{"word": "Yealink", "heard_as": ["Ya Link"], "kinds": ["tech"], "meaning": "brand of headsets and office phones", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "manual"}
+{"word": "Silero", "heard_as": [], "kinds": ["tech", "ai_interactions"], "meaning": "Silero VAD, a small open-source voice activity detection model", "occurrences": 0, "models": [], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "manual"}
+{"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": 13, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
 {"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"}
 {"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"}
 {"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"}
 {"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"}
 {"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"}
+{"word": "8BitDo", "heard_as": ["8-bit do", "four-bit do"], "kinds": ["tech"], "meaning": "8BitDo, maker of Bluetooth game controllers and macro pads", "occurrences": 4, "models": ["sabich Sabich v2.2", "sabich v2.1"], "first_seen": "2026-10-25", "last_seen": "2026-10-29", "takes": 9, "target": 9, "status": "trained", "priority": "normal", "active": false, "source": "history"}
 {"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"}
+{"word": "Sabich", "heard_as": ["Tzabich", "Savich", "sabich"], "kinds": ["personal", "hebrew", "tech"], "meaning": "Daniel's main ASR fine-tune, named after the Israeli sandwich", "occurrences": 4, "models": ["sabich Sabich v2.2", "sabich v2.1"], "first_seen": "2026-10-21", "last_seen": "2026-10-29", "takes": 22, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
 {"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"}
-{"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"}
 {"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"}
 {"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"}
 {"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"}
@@ -66,11 +79,12 @@
 {"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"}
 {"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"}
 {"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"}
+{"word": "KSP", "heard_as": ["NKS", "Kiss"], "kinds": ["name"], "meaning": "KSP, Israeli computer retailer", "occurrences": 2, "models": ["sabich Sabich v2.2", "sabich v2.1"], "first_seen": "2026-10-26", "last_seen": "2026-10-29", "takes": 8, "target": 8, "status": "trained", "priority": "normal", "active": false, "source": "history"}
 {"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"}
 {"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"}
 {"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"}
+{"word": "Qdrant", "heard_as": ["Qdrint", "Compute rant"], "kinds": ["tech"], "meaning": "open-source vector database", "occurrences": 2, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-24", "last_seen": "2026-10-29", "takes": 5, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
 {"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"}
-{"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"}
 {"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"}
 {"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"}
 {"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"}
@@ -85,7 +99,6 @@
 {"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"}
 {"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"}
 {"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"}
-{"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"}
 {"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"}
 {"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"}
 {"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"}
@@ -112,12 +125,12 @@
 {"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"}
 {"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"}
 {"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"}
-{"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"}
 {"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"}
-{"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"}
+{"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": 13, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
 {"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"}
 {"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"}
-{"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"}
+{"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": 20, "target": 20, "status": "trained", "priority": "normal", "active": false, "source": "history"}
+{"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": 18, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
 {"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"}
 {"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"}
 {"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"}
@@ -130,7 +143,6 @@
 {"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"}
 {"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"}
 {"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"}
-{"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"}
 {"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"}
 {"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"}
 {"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"}