Error list: 203 words, 359 occurrences (review 2026-10-31)
Browse files- README.md +12 -11
- words.jsonl +11 -10
README.md
CHANGED
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@@ -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,
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audio or other content of the dictations is published, only the word, the wrong forms and the model.
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-
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- `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
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version); `model_rev` is the exact weights' revision, recorded from app 0.7.3. Errors from before
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the app recorded the model have none.
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@@ -63,12 +63,13 @@ Active words first, high priority first among them.
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| text | test | 1 | 7 / 20 | high |
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| Ventolin | Ventilin | 1 | 7 / 20 | high |
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| Vercel | inversel | 1 | 7 / 20 | high |
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| 66 |
| My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt, My Word prompts | 7 | 17 / 20 | normal |
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| 67 |
| Typst | TyPst, TIPS-type, tips toypt, TyPstip, tipst, Tips | 6 | 12 / 20 | normal |
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| CLAUDE.md | userlevelclaw.md, 4 MD, Claude NMD, FlawdMD, claudmd | 5 | 13 / 20 | normal |
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| Easy Effects | EasyFX | 4 | 8 / 20 | normal |
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| Infisical | Infiniscal, Infinisco, Inphysical, physical | 4 | 11 / 20 | normal |
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| Parquet | Parkwell, parket, Parkwet, partwet | 4 |
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| AdGuard | Adgard, Adguard, ad? guard | 3 | 0 / 20 | normal |
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| ComfyUI | Comfy UI, System UI | 3 | 2 / 20 | normal |
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| disfluency | disluency, Dispuency, fluencies | 3 | 12 / 20 | normal |
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@@ -99,7 +100,7 @@ Active words first, high priority first among them.
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| Flic | Flick | 1 | 0 / 20 | normal |
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| gallbladder | rollbladder | 1 | 0 / 20 | normal |
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| GERD | Gerd | 1 | 0 / 20 | normal |
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| 102 |
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| Google Cloud Console | Google Cloud Konsole | 1 |
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| Haiku | haiku | 1 | 2 / 20 | normal |
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| 104 |
| Humanity's Last Exam | humanity's last evaluation | 1 | 0 / 20 | normal |
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| IBM Plex Sans | IBM Plexans | 1 | 7 / 20 | normal |
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@@ -107,15 +108,15 @@ Active words first, high priority first among them.
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| 107 |
| kibbutzim | kiputzim | 1 | 0 / 20 | normal |
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| 108 |
| Kokoro | Kikoro | 1 | 2 / 20 | normal |
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| 109 |
| llama.cpp | llama.cp | 1 | 1 / 20 | normal |
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| LXQt | LXT | 1 |
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| manga | magma | 1 | 0 / 20 | normal |
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| 112 |
| MCP Hub | MCB Hub | 1 | 6 / 20 | normal |
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| microcode | macro code | 1 |
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| 114 |
| microWakeWord | Microweak | 1 | 0 / 20 | normal |
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| 115 |
| MkDocs | mkdocs | 1 | 0 / 20 | normal |
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| moshavim | oshavim | 1 | 0 / 20 | normal |
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| Neo4j | Neo4J | 1 | 0 / 20 | normal |
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| NVMe | NBMA | 1 |
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| OTP | OTB | 1 | 8 / 20 | normal |
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| post-cholecystectomy syndrome | post-collasis syndrome | 1 | 0 / 20 | normal |
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| SmugMug | Smug Mug | 1 | 0 / 20 | normal |
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@@ -146,13 +147,13 @@ Active words first, high priority first among them.
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| F-Droid | FDroid, Fdroid | 3 | 10 / 10 | |
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| Nemotron | Nematron, Nementron | 3 | 14 / 11 | |
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| Netanyahu | Etanyahu, Etnia | 3 | 6 / 6 | |
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| rclone | Arclone, arc loan, our clone | 3 |
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| Unsloth | Unsoft, On Sloth, Onsloth | 3 | 9 / 7 | |
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| Z alias | ZALAS, Zed Elias, ZLA | 3 |
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| ab initio | a benissio, abenisio | 2 | 5 / 5 | |
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| AliExpress | Alley, Alliance | 2 | 7 / 7 | |
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| Carrot Cake AI | Karrot Cake AI, Car Cake AI | 2 | 10 / 10 | |
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| DeepSeek | DeepSee, DeepC | 2 |
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| DMARC | GMARC, Dimark | 2 | 5 / 5 | |
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| Hannah | Hanna, Anna | 2 | 6 / 6 | |
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| Jupyter | Jupiter | 2 | 10 / 10 | |
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@@ -160,7 +161,7 @@ Active words first, high priority first among them.
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| KSP | NKS, Kiss | 2 | 8 / 8 | |
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| MiniMax | Mini Max | 2 | 8 / 8 | |
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| ONNX | ONIX, onyx | 2 | 10 / 10 | |
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| Qwen | Qwen1, quen | 2 |
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| series | Ceres, Siries | 2 | 5 / 5 | |
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| TTS | CTS, tth | 2 | 10 / 7 | |
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| Ubiquiti | ubiquity | 2 | 6 / 6 | |
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@@ -238,7 +239,7 @@ Active words first, high priority first among them.
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| Fritter | | 0 | 13 / 10 | |
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| gezuntheit | | 0 | 6 / 6 | |
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| vibe coded | Vipecode | 0 | 6 / 6 | |
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| vibe coding | Vipecode | 0 |
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| zei gezunt | | 0 | 6 / 6 | |
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## Release tests
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recording app serves sentences with it first until there are enough takes of it. No transcript text,
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audio or other content of the dictations is published, only the word, the wrong forms and the model.
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+
- 203 words, 359 occurrences. Last review: 2026-10-31.
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- `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
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| 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.
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| 63 |
| text | test | 1 | 7 / 20 | high |
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| 64 |
| Ventolin | Ventilin | 1 | 7 / 20 | high |
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| Vercel | inversel | 1 | 7 / 20 | high |
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| gooseneck microphone | | 0 | 0 / 20 | high |
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| My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt, My Word prompts | 7 | 17 / 20 | normal |
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| 68 |
| Typst | TyPst, TIPS-type, tips toypt, TyPstip, tipst, Tips | 6 | 12 / 20 | normal |
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| CLAUDE.md | userlevelclaw.md, 4 MD, Claude NMD, FlawdMD, claudmd | 5 | 13 / 20 | normal |
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| Easy Effects | EasyFX | 4 | 8 / 20 | normal |
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| Infisical | Infiniscal, Infinisco, Inphysical, physical | 4 | 11 / 20 | normal |
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| Parquet | Parkwell, parket, Parkwet, partwet | 4 | 5 / 20 | normal |
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| AdGuard | Adgard, Adguard, ad? guard | 3 | 0 / 20 | normal |
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| ComfyUI | Comfy UI, System UI | 3 | 2 / 20 | normal |
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| disfluency | disluency, Dispuency, fluencies | 3 | 12 / 20 | normal |
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| 100 |
| Flic | Flick | 1 | 0 / 20 | normal |
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| gallbladder | rollbladder | 1 | 0 / 20 | normal |
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| GERD | Gerd | 1 | 0 / 20 | normal |
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| Google Cloud Console | Google Cloud Konsole | 1 | 2 / 20 | normal |
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| 104 |
| Haiku | haiku | 1 | 2 / 20 | normal |
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| Humanity's Last Exam | humanity's last evaluation | 1 | 0 / 20 | normal |
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| IBM Plex Sans | IBM Plexans | 1 | 7 / 20 | normal |
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| kibbutzim | kiputzim | 1 | 0 / 20 | normal |
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| Kokoro | Kikoro | 1 | 2 / 20 | normal |
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| llama.cpp | llama.cp | 1 | 1 / 20 | normal |
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| LXQt | LXT | 1 | 5 / 20 | normal |
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| manga | magma | 1 | 0 / 20 | normal |
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| MCP Hub | MCB Hub | 1 | 6 / 20 | normal |
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| microcode | macro code | 1 | 3 / 20 | normal |
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| microWakeWord | Microweak | 1 | 0 / 20 | normal |
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| MkDocs | mkdocs | 1 | 0 / 20 | normal |
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| moshavim | oshavim | 1 | 0 / 20 | normal |
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| Neo4j | Neo4J | 1 | 0 / 20 | normal |
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| 119 |
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| NVMe | NBMA | 1 | 4 / 20 | normal |
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| OTP | OTB | 1 | 8 / 20 | normal |
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| post-cholecystectomy syndrome | post-collasis syndrome | 1 | 0 / 20 | normal |
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| SmugMug | Smug Mug | 1 | 0 / 20 | normal |
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| 147 |
| F-Droid | FDroid, Fdroid | 3 | 10 / 10 | |
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| Nemotron | Nematron, Nementron | 3 | 14 / 11 | |
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| Netanyahu | Etanyahu, Etnia | 3 | 6 / 6 | |
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| 150 |
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| rclone | Arclone, arc loan, our clone | 3 | 6 / 4 | |
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| 151 |
| Unsloth | Unsoft, On Sloth, Onsloth | 3 | 9 / 7 | |
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| Z alias | ZALAS, Zed Elias, ZLA | 3 | 7 / 5 | |
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| ab initio | a benissio, abenisio | 2 | 5 / 5 | |
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| AliExpress | Alley, Alliance | 2 | 7 / 7 | |
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| 155 |
| Carrot Cake AI | Karrot Cake AI, Car Cake AI | 2 | 10 / 10 | |
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| DeepSeek | DeepSee, DeepC | 2 | 13 / 9 | |
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| 157 |
| DMARC | GMARC, Dimark | 2 | 5 / 5 | |
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| Hannah | Hanna, Anna | 2 | 6 / 6 | |
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| Jupyter | Jupiter | 2 | 10 / 10 | |
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| KSP | NKS, Kiss | 2 | 8 / 8 | |
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| MiniMax | Mini Max | 2 | 8 / 8 | |
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| ONNX | ONIX, onyx | 2 | 10 / 10 | |
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| Qwen | Qwen1, quen | 2 | 14 / 11 | |
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| series | Ceres, Siries | 2 | 5 / 5 | |
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| TTS | CTS, tth | 2 | 10 / 7 | |
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| Ubiquiti | ubiquity | 2 | 6 / 6 | |
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| Fritter | | 0 | 13 / 10 | |
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| gezuntheit | | 0 | 6 / 6 | |
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| vibe coded | Vipecode | 0 | 6 / 6 | |
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| vibe coding | Vipecode | 0 | 7 / 6 | |
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| zei gezunt | | 0 | 6 / 6 | |
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## Release tests
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words.jsonl
CHANGED
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{"word": "text", "heard_as": ["test"], "kinds": ["other"], "meaning": "as in text reproduction in image models", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 7, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
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{"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"}
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{"word": "Vercel", "heard_as": ["inversel"], "kinds": ["tech"], "meaning": "web deployment platform", "occurrences": 1, "models": ["sabich Sabich v2.2"], "first_seen": "2026-10-28", "last_seen": "2026-10-28", "takes": 7, "target": 20, "status": "training", "priority": "high", "active": true, "source": "history"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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":
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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":
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{"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"}
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{"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"}
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{"word": "IBM Plex Sans", "heard_as": ["IBM Plexans"], "kinds": ["tech"], "meaning": "open-source typeface", "occurrences": 1, "models": ["sabich Sabich v2.1"], "first_seen": "2026-10-27", "last_seen": "2026-10-27", "takes": 7, "target": 20, "status": "training", "priority": "normal", "active": true, "source": "history"}
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{"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"}
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{"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"}
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{"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"}
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{"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":
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{"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"}
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{"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"}
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{"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":
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{"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"}
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{"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"}
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{"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"}
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| 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":
|
| 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 @@
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|
| 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":
|
| 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":
|
| 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":
|
| 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"}
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|
@@ -120,7 +121,7 @@
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|
| 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":
|
| 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":
|
| 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"}
|