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Error list: 203 words, 359 occurrences (review 2026-10-31)

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  1. README.md +12 -11
  2. words.jsonl +11 -10
README.md CHANGED
@@ -23,7 +23,7 @@ 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,
24
  audio or other content of the dictations is published, only the word, the wrong forms and the model.
25
 
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- - 202 words, 359 occurrences. Last review: 2026-10-31.
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
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  the app recorded the model have none.
@@ -63,12 +63,13 @@ Active words first, high priority first among them.
63
  | text | test | 1 | 7 / 20 | high |
64
  | Ventolin | Ventilin | 1 | 7 / 20 | high |
65
  | Vercel | inversel | 1 | 7 / 20 | high |
 
66
  | My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt, My Word prompts | 7 | 17 / 20 | normal |
67
  | Typst | TyPst, TIPS-type, tips toypt, TyPstip, tipst, Tips | 6 | 12 / 20 | normal |
68
  | CLAUDE.md | userlevelclaw.md, 4 MD, Claude NMD, FlawdMD, claudmd | 5 | 13 / 20 | normal |
69
  | Easy Effects | EasyFX | 4 | 8 / 20 | normal |
70
  | Infisical | Infiniscal, Infinisco, Inphysical, physical | 4 | 11 / 20 | normal |
71
- | Parquet | Parkwell, parket, Parkwet, partwet | 4 | 0 / 20 | normal |
72
  | AdGuard | Adgard, Adguard, ad? guard | 3 | 0 / 20 | normal |
73
  | ComfyUI | Comfy UI, System UI | 3 | 2 / 20 | normal |
74
  | disfluency | disluency, Dispuency, fluencies | 3 | 12 / 20 | normal |
@@ -99,7 +100,7 @@ Active words first, high priority first among them.
99
  | Flic | Flick | 1 | 0 / 20 | normal |
100
  | gallbladder | rollbladder | 1 | 0 / 20 | normal |
101
  | GERD | Gerd | 1 | 0 / 20 | normal |
102
- | Google Cloud Console | Google Cloud Konsole | 1 | 0 / 20 | normal |
103
  | Haiku | haiku | 1 | 2 / 20 | normal |
104
  | Humanity's Last Exam | humanity's last evaluation | 1 | 0 / 20 | normal |
105
  | IBM Plex Sans | IBM Plexans | 1 | 7 / 20 | normal |
@@ -107,15 +108,15 @@ Active words first, high priority first among them.
107
  | kibbutzim | kiputzim | 1 | 0 / 20 | normal |
108
  | Kokoro | Kikoro | 1 | 2 / 20 | normal |
109
  | llama.cpp | llama.cp | 1 | 1 / 20 | normal |
110
- | LXQt | LXT | 1 | 0 / 20 | normal |
111
  | manga | magma | 1 | 0 / 20 | normal |
112
  | MCP Hub | MCB Hub | 1 | 6 / 20 | normal |
113
- | microcode | macro code | 1 | 0 / 20 | normal |
114
  | microWakeWord | Microweak | 1 | 0 / 20 | normal |
115
  | MkDocs | mkdocs | 1 | 0 / 20 | normal |
116
  | moshavim | oshavim | 1 | 0 / 20 | normal |
117
  | Neo4j | Neo4J | 1 | 0 / 20 | normal |
118
- | NVMe | NBMA | 1 | 2 / 20 | normal |
119
  | OTP | OTB | 1 | 8 / 20 | normal |
120
  | post-cholecystectomy syndrome | post-collasis syndrome | 1 | 0 / 20 | normal |
121
  | SmugMug | Smug Mug | 1 | 0 / 20 | normal |
@@ -146,13 +147,13 @@ Active words first, high priority first among them.
146
  | F-Droid | FDroid, Fdroid | 3 | 10 / 10 | |
147
  | Nemotron | Nematron, Nementron | 3 | 14 / 11 | |
148
  | Netanyahu | Etanyahu, Etnia | 3 | 6 / 6 | |
149
- | rclone | Arclone, arc loan, our clone | 3 | 4 / 4 | |
150
  | Unsloth | Unsoft, On Sloth, Onsloth | 3 | 9 / 7 | |
151
- | Z alias | ZALAS, Zed Elias, ZLA | 3 | 5 / 5 | |
152
  | ab initio | a benissio, abenisio | 2 | 5 / 5 | |
153
  | AliExpress | Alley, Alliance | 2 | 7 / 7 | |
154
  | Carrot Cake AI | Karrot Cake AI, Car Cake AI | 2 | 10 / 10 | |
155
- | DeepSeek | DeepSee, DeepC | 2 | 12 / 9 | |
156
  | DMARC | GMARC, Dimark | 2 | 5 / 5 | |
157
  | Hannah | Hanna, Anna | 2 | 6 / 6 | |
158
  | Jupyter | Jupiter | 2 | 10 / 10 | |
@@ -160,7 +161,7 @@ Active words first, high priority first among them.
160
  | KSP | NKS, Kiss | 2 | 8 / 8 | |
161
  | MiniMax | Mini Max | 2 | 8 / 8 | |
162
  | ONNX | ONIX, onyx | 2 | 10 / 10 | |
163
- | Qwen | Qwen1, quen | 2 | 13 / 11 | |
164
  | series | Ceres, Siries | 2 | 5 / 5 | |
165
  | TTS | CTS, tth | 2 | 10 / 7 | |
166
  | Ubiquiti | ubiquity | 2 | 6 / 6 | |
@@ -238,7 +239,7 @@ Active words first, high priority first among them.
238
  | Fritter | | 0 | 13 / 10 | |
239
  | gezuntheit | | 0 | 6 / 6 | |
240
  | vibe coded | Vipecode | 0 | 6 / 6 | |
241
- | vibe coding | Vipecode | 0 | 6 / 6 | |
242
  | zei gezunt | | 0 | 6 / 6 | |
243
 
244
  ## Release tests
 
23
  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
 
26
+ - 203 words, 359 occurrences. Last review: 2026-10-31.
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.
 
63
  | text | test | 1 | 7 / 20 | high |
64
  | Ventolin | Ventilin | 1 | 7 / 20 | high |
65
  | Vercel | inversel | 1 | 7 / 20 | high |
66
+ | gooseneck microphone | | 0 | 0 / 20 | high |
67
  | My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt, My Word prompts | 7 | 17 / 20 | normal |
68
  | Typst | TyPst, TIPS-type, tips toypt, TyPstip, tipst, Tips | 6 | 12 / 20 | normal |
69
  | CLAUDE.md | userlevelclaw.md, 4 MD, Claude NMD, FlawdMD, claudmd | 5 | 13 / 20 | normal |
70
  | Easy Effects | EasyFX | 4 | 8 / 20 | normal |
71
  | Infisical | Infiniscal, Infinisco, Inphysical, physical | 4 | 11 / 20 | normal |
72
+ | Parquet | Parkwell, parket, Parkwet, partwet | 4 | 5 / 20 | normal |
73
  | AdGuard | Adgard, Adguard, ad? guard | 3 | 0 / 20 | normal |
74
  | ComfyUI | Comfy UI, System UI | 3 | 2 / 20 | normal |
75
  | disfluency | disluency, Dispuency, fluencies | 3 | 12 / 20 | normal |
 
100
  | Flic | Flick | 1 | 0 / 20 | normal |
101
  | gallbladder | rollbladder | 1 | 0 / 20 | normal |
102
  | GERD | Gerd | 1 | 0 / 20 | normal |
103
+ | Google Cloud Console | Google Cloud Konsole | 1 | 2 / 20 | normal |
104
  | Haiku | haiku | 1 | 2 / 20 | normal |
105
  | Humanity's Last Exam | humanity's last evaluation | 1 | 0 / 20 | normal |
106
  | IBM Plex Sans | IBM Plexans | 1 | 7 / 20 | normal |
 
108
  | kibbutzim | kiputzim | 1 | 0 / 20 | normal |
109
  | Kokoro | Kikoro | 1 | 2 / 20 | normal |
110
  | llama.cpp | llama.cp | 1 | 1 / 20 | normal |
111
+ | LXQt | LXT | 1 | 5 / 20 | normal |
112
  | manga | magma | 1 | 0 / 20 | normal |
113
  | MCP Hub | MCB Hub | 1 | 6 / 20 | normal |
114
+ | microcode | macro code | 1 | 3 / 20 | normal |
115
  | microWakeWord | Microweak | 1 | 0 / 20 | normal |
116
  | MkDocs | mkdocs | 1 | 0 / 20 | normal |
117
  | moshavim | oshavim | 1 | 0 / 20 | normal |
118
  | Neo4j | Neo4J | 1 | 0 / 20 | normal |
119
+ | NVMe | NBMA | 1 | 4 / 20 | normal |
120
  | OTP | OTB | 1 | 8 / 20 | normal |
121
  | post-cholecystectomy syndrome | post-collasis syndrome | 1 | 0 / 20 | normal |
122
  | SmugMug | Smug Mug | 1 | 0 / 20 | normal |
 
147
  | F-Droid | FDroid, Fdroid | 3 | 10 / 10 | |
148
  | Nemotron | Nematron, Nementron | 3 | 14 / 11 | |
149
  | Netanyahu | Etanyahu, Etnia | 3 | 6 / 6 | |
150
+ | rclone | Arclone, arc loan, our clone | 3 | 6 / 4 | |
151
  | Unsloth | Unsoft, On Sloth, Onsloth | 3 | 9 / 7 | |
152
+ | Z alias | ZALAS, Zed Elias, ZLA | 3 | 7 / 5 | |
153
  | ab initio | a benissio, abenisio | 2 | 5 / 5 | |
154
  | AliExpress | Alley, Alliance | 2 | 7 / 7 | |
155
  | Carrot Cake AI | Karrot Cake AI, Car Cake AI | 2 | 10 / 10 | |
156
+ | DeepSeek | DeepSee, DeepC | 2 | 13 / 9 | |
157
  | DMARC | GMARC, Dimark | 2 | 5 / 5 | |
158
  | Hannah | Hanna, Anna | 2 | 6 / 6 | |
159
  | Jupyter | Jupiter | 2 | 10 / 10 | |
 
161
  | KSP | NKS, Kiss | 2 | 8 / 8 | |
162
  | MiniMax | Mini Max | 2 | 8 / 8 | |
163
  | ONNX | ONIX, onyx | 2 | 10 / 10 | |
164
+ | Qwen | Qwen1, quen | 2 | 14 / 11 | |
165
  | series | Ceres, Siries | 2 | 5 / 5 | |
166
  | TTS | CTS, tth | 2 | 10 / 7 | |
167
  | Ubiquiti | ubiquity | 2 | 6 / 6 | |
 
239
  | Fritter | | 0 | 13 / 10 | |
240
  | gezuntheit | | 0 | 6 / 6 | |
241
  | vibe coded | Vipecode | 0 | 6 / 6 | |
242
+ | vibe coding | Vipecode | 0 | 7 / 6 | |
243
  | zei gezunt | | 0 | 6 / 6 | |
244
 
245
  ## Release tests
words.jsonl CHANGED
@@ -23,12 +23,13 @@
23
  {"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": 7, "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": 7, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
25
  {"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": 7, "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": 17, "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": 12, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
28
  {"word": "CLAUDE.md", "heard_as": ["userlevelclaw.md", "4 MD", "Claude NMD", "FlawdMD", "claudmd"], "kinds": ["ai_interactions", "tech"], "meaning": "Claude Code instructions file", "occurrences": 5, "models": ["sabich Sabich v2.0", "sabich Sabich v2.1", "sabich Sabich v2.2"], "first_seen": "2026-10-24", "last_seen": "2026-10-29", "takes": 13, "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": 8, "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": 11, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
31
- {"word": "Parquet", "heard_as": ["Parkwell", "parket", "Parkwet", "partwet"], "kinds": ["tech"], "meaning": "columnar file format", "occurrences": 4, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-30", "last_seen": "2026-10-30", "takes": 0, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
32
  {"word": "AdGuard", "heard_as": ["Adgard", "Adguard", "ad? guard"], "kinds": ["tech", "smart_home"], "meaning": "AdGuard Home, a network-wide DNS ad and tracker blocker", "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"}
33
  {"word": "ComfyUI", "heard_as": ["Comfy UI", "System UI"], "kinds": ["tech", "ai_interactions"], "meaning": "node-based image/video generation UI", "occurrences": 3, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
34
  {"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": 12, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
@@ -59,7 +60,7 @@
59
  {"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"}
60
  {"word": "gallbladder", "heard_as": ["rollbladder"], "kinds": ["medical"], "meaning": "organ", "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"}
61
  {"word": "GERD", "heard_as": ["Gerd"], "kinds": ["medical"], "meaning": "acid reflux disease", "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"}
62
- {"word": "Google Cloud Console", "heard_as": ["Google Cloud Konsole"], "kinds": ["tech"], "meaning": "Google Cloud web console", "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"}
63
  {"word": "Haiku", "heard_as": ["haiku"], "kinds": ["ai_interactions"], "meaning": "Anthropic Claude Haiku model", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
64
  {"word": "Humanity's Last Exam", "heard_as": ["humanity's last evaluation"], "kinds": ["ai_interactions"], "meaning": "AI benchmark", "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"}
65
  {"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"}
@@ -67,15 +68,15 @@
67
  {"word": "kibbutzim", "heard_as": ["kiputzim"], "kinds": ["hebrew"], "meaning": "plural of kibbutz, collective communities", "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"}
68
  {"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": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
69
  {"word": "llama.cpp", "heard_as": ["llama.cp"], "kinds": ["tech", "ai_interactions"], "meaning": "local LLM inference engine", "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"}
70
- {"word": "LXQt", "heard_as": ["LXT"], "kinds": ["linux"], "meaning": "lightweight Qt desktop environment", "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"}
71
  {"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"}
72
  {"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"}
73
- {"word": "microcode", "heard_as": ["macro code"], "kinds": ["linux", "tech"], "meaning": "CPU microcode update", "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"}
74
  {"word": "microWakeWord", "heard_as": ["Microweak"], "kinds": ["tech", "ai_interactions"], "meaning": "lightweight wake word framework", "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"}
75
  {"word": "MkDocs", "heard_as": ["mkdocs"], "kinds": ["tech"], "meaning": "documentation site generator", "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"}
76
  {"word": "moshavim", "heard_as": ["oshavim"], "kinds": ["hebrew"], "meaning": "plural of moshav, cooperative villages", "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"}
77
  {"word": "Neo4j", "heard_as": ["Neo4J"], "kinds": ["tech"], "meaning": "graph database", "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"}
78
- {"word": "NVMe", "heard_as": ["NBMA"], "kinds": ["tech", "linux"], "meaning": "SSD interface type", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
79
  {"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"}
80
  {"word": "post-cholecystectomy syndrome", "heard_as": ["post-collasis syndrome"], "kinds": ["medical"], "meaning": "condition after gallbladder removal", "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"}
81
  {"word": "SmugMug", "heard_as": ["Smug Mug"], "kinds": ["tech"], "meaning": "photo hosting service", "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"}
@@ -106,13 +107,13 @@
106
  {"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"}
107
  {"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": 14, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
108
  {"word": "Netanyahu", "heard_as": ["Etanyahu", "Etnia"], "kinds": ["name", "hebrew"], "meaning": "Israeli politician", "occurrences": 3, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-22", "last_seen": "2026-10-29", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
109
- {"word": "rclone", "heard_as": ["Arclone", "arc loan", "our clone"], "kinds": ["tech", "linux"], "meaning": "cloud storage sync CLI", "occurrences": 3, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-25", "last_seen": "2026-10-29", "takes": 4, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
110
  {"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": 9, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
111
- {"word": "Z alias", "heard_as": ["ZALAS", "Zed Elias", "ZLA"], "kinds": ["linux", "other"], "meaning": "Daniel's zoxide-style shell alias that jumps to a repo directory", "occurrences": 3, "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"}
112
  {"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"}
113
  {"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"}
114
  {"word": "Carrot Cake AI", "heard_as": ["Karrot Cake AI", "Car Cake AI"], "kinds": ["personal", "name", "other"], "meaning": "Daniel's consultancy brand", "occurrences": 2, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-22", "last_seen": "2026-10-29", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
115
- {"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"}
116
  {"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"}
117
  {"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"}
118
  {"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"}
@@ -120,7 +121,7 @@
120
  {"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"}
121
  {"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"}
122
  {"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"}
123
- {"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"}
124
  {"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"}
125
  {"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": 10, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
126
  {"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"}
@@ -198,5 +199,5 @@
198
  {"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": 13, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
199
  {"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"}
200
  {"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"}
201
- {"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"}
202
  {"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"}
 
23
  {"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": 7, "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": 7, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
25
  {"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": 7, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
26
+ {"word": "gooseneck microphone", "heard_as": [], "kinds": ["tech"], "meaning": "a microphone on a flexible bendable stem", "occurrences": 0, "models": [], "first_seen": "2026-10-31", "last_seen": "2026-10-31", "takes": 0, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
27
  {"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": 17, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
28
  {"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": 12, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
29
  {"word": "CLAUDE.md", "heard_as": ["userlevelclaw.md", "4 MD", "Claude NMD", "FlawdMD", "claudmd"], "kinds": ["ai_interactions", "tech"], "meaning": "Claude Code instructions file", "occurrences": 5, "models": ["sabich Sabich v2.0", "sabich Sabich v2.1", "sabich Sabich v2.2"], "first_seen": "2026-10-24", "last_seen": "2026-10-29", "takes": 13, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
30
  {"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": 8, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
31
  {"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": 11, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
32
+ {"word": "Parquet", "heard_as": ["Parkwell", "parket", "Parkwet", "partwet"], "kinds": ["tech"], "meaning": "columnar file format", "occurrences": 4, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-30", "last_seen": "2026-10-30", "takes": 5, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
33
  {"word": "AdGuard", "heard_as": ["Adgard", "Adguard", "ad? guard"], "kinds": ["tech", "smart_home"], "meaning": "AdGuard Home, a network-wide DNS ad and tracker blocker", "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"}
34
  {"word": "ComfyUI", "heard_as": ["Comfy UI", "System UI"], "kinds": ["tech", "ai_interactions"], "meaning": "node-based image/video generation UI", "occurrences": 3, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
35
  {"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": 12, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
 
60
  {"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"}
61
  {"word": "gallbladder", "heard_as": ["rollbladder"], "kinds": ["medical"], "meaning": "organ", "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"}
62
  {"word": "GERD", "heard_as": ["Gerd"], "kinds": ["medical"], "meaning": "acid reflux disease", "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"}
63
+ {"word": "Google Cloud Console", "heard_as": ["Google Cloud Konsole"], "kinds": ["tech"], "meaning": "Google Cloud web console", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
64
  {"word": "Haiku", "heard_as": ["haiku"], "kinds": ["ai_interactions"], "meaning": "Anthropic Claude Haiku model", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
65
  {"word": "Humanity's Last Exam", "heard_as": ["humanity's last evaluation"], "kinds": ["ai_interactions"], "meaning": "AI benchmark", "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"}
66
  {"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"}
 
68
  {"word": "kibbutzim", "heard_as": ["kiputzim"], "kinds": ["hebrew"], "meaning": "plural of kibbutz, collective communities", "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"}
69
  {"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": 2, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
70
  {"word": "llama.cpp", "heard_as": ["llama.cp"], "kinds": ["tech", "ai_interactions"], "meaning": "local LLM inference engine", "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"}
71
+ {"word": "LXQt", "heard_as": ["LXT"], "kinds": ["linux"], "meaning": "lightweight Qt desktop environment", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 5, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
72
  {"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"}
73
  {"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"}
74
+ {"word": "microcode", "heard_as": ["macro code"], "kinds": ["linux", "tech"], "meaning": "CPU microcode update", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 3, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
75
  {"word": "microWakeWord", "heard_as": ["Microweak"], "kinds": ["tech", "ai_interactions"], "meaning": "lightweight wake word framework", "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"}
76
  {"word": "MkDocs", "heard_as": ["mkdocs"], "kinds": ["tech"], "meaning": "documentation site generator", "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"}
77
  {"word": "moshavim", "heard_as": ["oshavim"], "kinds": ["hebrew"], "meaning": "plural of moshav, cooperative villages", "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"}
78
  {"word": "Neo4j", "heard_as": ["Neo4J"], "kinds": ["tech"], "meaning": "graph database", "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"}
79
+ {"word": "NVMe", "heard_as": ["NBMA"], "kinds": ["tech", "linux"], "meaning": "SSD interface type", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-29", "last_seen": "2026-10-29", "takes": 4, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
80
  {"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"}
81
  {"word": "post-cholecystectomy syndrome", "heard_as": ["post-collasis syndrome"], "kinds": ["medical"], "meaning": "condition after gallbladder removal", "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"}
82
  {"word": "SmugMug", "heard_as": ["Smug Mug"], "kinds": ["tech"], "meaning": "photo hosting service", "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"}
 
107
  {"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"}
108
  {"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": 14, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
109
  {"word": "Netanyahu", "heard_as": ["Etanyahu", "Etnia"], "kinds": ["name", "hebrew"], "meaning": "Israeli politician", "occurrences": 3, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-22", "last_seen": "2026-10-29", "takes": 6, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "history"}
110
+ {"word": "rclone", "heard_as": ["Arclone", "arc loan", "our clone"], "kinds": ["tech", "linux"], "meaning": "cloud storage sync CLI", "occurrences": 3, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-25", "last_seen": "2026-10-29", "takes": 6, "target": 4, "status": "trained", "priority": "normal", "active": false, "source": "history"}
111
  {"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": 9, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
112
+ {"word": "Z alias", "heard_as": ["ZALAS", "Zed Elias", "ZLA"], "kinds": ["linux", "other"], "meaning": "Daniel's zoxide-style shell alias that jumps to a repo directory", "occurrences": 3, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-24", "last_seen": "2026-10-29", "takes": 7, "target": 5, "status": "trained", "priority": "normal", "active": false, "source": "history"}
113
  {"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"}
114
  {"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"}
115
  {"word": "Carrot Cake AI", "heard_as": ["Karrot Cake AI", "Car Cake AI"], "kinds": ["personal", "name", "other"], "meaning": "Daniel's consultancy brand", "occurrences": 2, "models": ["sabich Sabich v2.0", "sabich Sabich v2.2"], "first_seen": "2026-10-22", "last_seen": "2026-10-29", "takes": 10, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "history"}
116
+ {"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": 13, "target": 9, "status": "trained", "priority": "normal", "active": false, "source": "history"}
117
  {"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"}
118
  {"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"}
119
  {"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"}
 
121
  {"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"}
122
  {"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"}
123
  {"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"}
124
+ {"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": 14, "target": 11, "status": "trained", "priority": "normal", "active": false, "source": "history"}
125
  {"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"}
126
  {"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": 10, "target": 7, "status": "trained", "priority": "normal", "active": false, "source": "history"}
127
  {"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"}
 
199
  {"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": 13, "target": 10, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
200
  {"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"}
201
  {"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"}
202
+ {"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": 7, "target": 6, "status": "trained", "priority": "normal", "active": false, "source": "manual"}
203
  {"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"}