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danielrosehill commited on
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Error list: 61 words, 138 occurrences (review 2026-10-24)

Browse files
Files changed (3) hide show
  1. README.md +49 -27
  2. occurrences.jsonl +52 -0
  3. words.jsonl +48 -26
README.md CHANGED
@@ -23,7 +23,7 @@ code-switching, Jerusalem). Each word here is fed back into training as a **prio
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
 
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- - 39 words, 86 occurrences. Last review: 2026-10-23.
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.
@@ -33,45 +33,67 @@ audio or other content of the dictations is published, only the word, the wrong
33
 
34
  | Word | Heard as | Occurrences | Takes / target |
35
  |---|---|---|---|
36
- | ROCm | ROCM, Rockham, Rockin, RCM | 14 | 9 / 20 |
37
- | LoRA | Lores, Loas, Laura, lores, Loa, LoRa | 10 | 0 / 20 |
38
- | Hugging Face | Hooking Face, hugging face, hooking face, Hogging Face | 4 | 9 / 20 |
39
- | My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise | 4 | 9 / 20 |
40
- | NocoDB | No CodeDB, Nocode, NokoDB, Noko DB | 4 | 0 / 20 |
41
- | Claude Code | clawed code, clawed, claud | 3 | 1 / 20 |
42
- | Colab | Collab, collab | 3 | 0 / 20 |
43
- | Corn | Coren, Cornak's, Eminent Corn | 3 | 0 / 20 |
44
- | Hebrish | HeBrish, Hebris, keybrush | 3 | 9 / 20 |
 
 
45
  | Nemotron | Nematron, Nementron | 3 | 9 / 20 |
46
- | F-Droid | FDroid | 2 | 9 / 20 |
 
 
 
 
47
  | Jupyter | Jupiter | 2 | 8 / 20 |
48
  | Karpathy | Karpathi, Karpathi's | 2 | 8 / 20 |
49
- | Netanyahu | Etanyahu, Etnia | 2 | 0 / 20 |
50
- | Qwen | Qwen1, quen | 2 | 8 / 20 |
51
- | Unsloth | Unsoft, On Sloth | 2 | 1 / 20 |
52
- | abliteration | Obliteration | 1 | 0 / 20 |
53
- | APK | ABK | 1 | 0 / 20 |
 
 
 
 
 
 
 
54
  | Boxty | E box d | 1 | |
55
  | Carrot Cake AI | Karrot Cake AI | 1 | 8 / 20 |
56
  | Chatterbox | Shatterbox | 1 | 9 / 20 |
57
- | Cloudflare | cloud fair | 1 | 0 / 20 |
 
 
58
  | eSpeak | Espeak | 1 | 8 / 20 |
59
- | evals | evalves | 1 | 0 / 20 |
60
  | EXE | AXE | 1 | 9 / 20 |
61
- | Infisical | Infiniscal | 1 | 0 / 20 |
62
- | Janglo | Danglo | 1 | 0 / 20 |
 
63
  | Jupyter Notebook | Jupiter notebooks | 1 | 8 / 20 |
 
64
  | Kdenlive | Caden Live | 1 | 9 / 20 |
 
65
  | Meorav | Maorab | 1 | 9 / 20 |
66
- | Nvidia | NVideo | 1 | 0 / 20 |
67
- | ONNX | ONIX | 1 | 9 / 20 |
 
 
68
  | prosody | porosity | 1 | 9 / 20 |
69
- | regex | RedJack | 1 | 0 / 20 |
70
- | SaaS | SAS | 1 | 0 / 20 |
 
71
  | Sabich | Tzabich | 1 | 9 / 20 |
72
- | Sonnet | Sommet | 1 | 1 / 20 |
73
- | TTS | CTS | 1 | 3 / 20 |
74
- | Whisperian | Wisperion | 1 | 0 / 20 |
 
 
75
 
76
  ## Release tests
77
 
 
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
+ - 61 words, 138 occurrences. Last review: 2026-10-24.
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.
 
33
 
34
  | Word | Heard as | Occurrences | Takes / target |
35
  |---|---|---|---|
36
+ | ROCm | ROCM, Rockham, Rockin, RCM, Rock'em | 15 | 9 / 20 |
37
+ | LoRA | Lores, Loas, Laura, lores, Loa, LoRa, lore, lures | 14 | 2 / 20 |
38
+ | Claude Code | clawed code, clawed, claud, clawed coat, claw code, Core Code, claudcode | 7 | 2 / 20 |
39
+ | Corn | Coren, Cornak's, Eminent Corn, Corner, Korn, Corin | 6 | 1 / 20 |
40
+ | Hugging Face | Hooking Face, hugging face, hooking face, Hogging Face, hogging face | 6 | 9 / 20 |
41
+ | My Weird Prompts | MyWord Prompts, My WordPrompts, My Word Promise, mywordprompt | 6 | 9 / 20 |
42
+ | Hebrish | HeBrish, Hebris, keybrush, Hebrew Shop, Hebrew shtal | 5 | 9 / 20 |
43
+ | NocoDB | No CodeDB, Nocode, NokoDB, Noko DB | 4 | 1 / 20 |
44
+ | Cloudflare | cloud fair, Cloud Claire, Cloud Clare | 3 | 1 / 20 |
45
+ | Colab | Collab, collab | 3 | 2 / 20 |
46
+ | F-Droid | FDroid, Fdroid | 3 | 9 / 20 |
47
  | Nemotron | Nematron, Nementron | 3 | 9 / 20 |
48
+ | Unsloth | Unsoft, On Sloth, Onsloth | 3 | 2 / 20 |
49
+ | CLAUDE.md | userlevelclaw.md, 4 MD | 2 | 0 / 20 |
50
+ | disfluency | disluency, Dispuency | 2 | 0 / 20 |
51
+ | evals | evalves, valves | 2 | 1 / 20 |
52
+ | Infisical | Infiniscal, Infinisco | 2 | 1 / 20 |
53
  | Jupyter | Jupiter | 2 | 8 / 20 |
54
  | Karpathy | Karpathi, Karpathi's | 2 | 8 / 20 |
55
+ | Netanyahu | Etanyahu, Etnia | 2 | 2 / 20 |
56
+ | ONNX | ONIX, onyx | 2 | 9 / 20 |
57
+ | Qwen | Qwen1, quen | 2 | 10 / 20 |
58
+ | series | Ceres, Siries | 2 | 0 / 20 |
59
+ | Typst | TyPst, TIPS-type | 2 | 0 / 20 |
60
+ | Z alias | ZALAS, Zed Elias | 2 | 0 / 20 |
61
+ | abliteration | Obliteration | 1 | 1 / 20 |
62
+ | agentic | agenda | 1 | 0 / 20 |
63
+ | AMD | MD | 1 | 0 / 20 |
64
+ | APK | ABK | 1 | 1 / 20 |
65
+ | ASR | ACR | 1 | 3 / 20 |
66
+ | Bituach Leumi | betuachlomi | 1 | 0 / 20 |
67
  | Boxty | E box d | 1 | |
68
  | Carrot Cake AI | Karrot Cake AI | 1 | 8 / 20 |
69
  | Chatterbox | Shatterbox | 1 | 9 / 20 |
70
+ | DeepSeek | DeepSee | 1 | 5 / 20 |
71
+ | DMARC | GMARC | 1 | 0 / 20 |
72
+ | DSR Holdings | Vidyester Holdings | 1 | 3 / 20 |
73
  | eSpeak | Espeak | 1 | 8 / 20 |
 
74
  | EXE | AXE | 1 | 9 / 20 |
75
+ | few-shot | fusil | 1 | 0 / 20 |
76
+ | Hegseth | Hagsets | 1 | 0 / 20 |
77
+ | Janglo | Danglo | 1 | 1 / 20 |
78
  | Jupyter Notebook | Jupiter notebooks | 1 | 8 / 20 |
79
+ | Kaizen | Kaiser | 1 | 0 / 20 |
80
  | Kdenlive | Caden Live | 1 | 9 / 20 |
81
+ | LLM | nelam | 1 | 5 / 20 |
82
  | Meorav | Maorab | 1 | 9 / 20 |
83
+ | Muse Spark | News Spark | 1 | 0 / 20 |
84
+ | Nvidia | NVideo | 1 | 1 / 20 |
85
+ | Ollama | ulama | 1 | 1 / 20 |
86
+ | post-processing | PostgreSQL processing | 1 | 0 / 20 |
87
  | prosody | porosity | 1 | 9 / 20 |
88
+ | Qdrant | Qdrint | 1 | 0 / 20 |
89
+ | regex | RedJack | 1 | 1 / 20 |
90
+ | SaaS | SAS | 1 | 1 / 20 |
91
  | Sabich | Tzabich | 1 | 9 / 20 |
92
+ | Sonnet | Sommet | 1 | 2 / 20 |
93
+ | SSE | SSC | 1 | 0 / 20 |
94
+ | Superwhisper | Superwisper | 1 | 0 / 20 |
95
+ | TTS | CTS | 1 | 4 / 20 |
96
+ | Whisperian | Wisperion | 1 | 1 / 20 |
97
 
98
  ## Release tests
99
 
occurrences.jsonl CHANGED
@@ -48,15 +48,25 @@
48
  {"word": "ROCm", "heard_as": "Rockin", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
49
  {"word": "Whisperian", "heard_as": "Wisperion", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-22"}
50
  {"word": "abliteration", "heard_as": "Obliteration", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
51
  {"word": "APK", "heard_as": "ABK", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
52
  {"word": "Cloudflare", "heard_as": "cloud fair", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
 
53
  {"word": "Colab", "heard_as": "Collab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
54
  {"word": "Colab", "heard_as": "Collab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
55
  {"word": "Colab", "heard_as": "collab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
56
  {"word": "Corn", "heard_as": "Coren", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
57
  {"word": "Corn", "heard_as": "Cornak's", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
58
  {"word": "Corn", "heard_as": "Eminent Corn", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
 
 
59
  {"word": "evals", "heard_as": "evalves", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
 
 
60
  {"word": "Infisical", "heard_as": "Infiniscal", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
61
  {"word": "Janglo", "heard_as": "Danglo", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
62
  {"word": "Jupyter", "heard_as": "Jupiter", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
@@ -72,6 +82,7 @@
72
  {"word": "LoRA", "heard_as": "Loa", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
73
  {"word": "My Weird Prompts", "heard_as": "My WordPrompts", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
74
  {"word": "My Weird Prompts", "heard_as": "My Word Promise", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
75
  {"word": "NocoDB", "heard_as": "No CodeDB", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
76
  {"word": "NocoDB", "heard_as": "Nocode", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
77
  {"word": "NocoDB", "heard_as": "NokoDB", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
@@ -79,8 +90,49 @@
79
  {"word": "Qwen", "heard_as": "quen", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
80
  {"word": "regex", "heard_as": "RedJack", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
81
  {"word": "ROCm", "heard_as": "ROCM", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
82
  {"word": "SaaS", "heard_as": "SAS", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
83
  {"word": "Sonnet", "heard_as": "Sommet", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
84
  {"word": "TTS", "heard_as": "CTS", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
85
  {"word": "Unsloth", "heard_as": "Unsoft", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
86
  {"word": "Unsloth", "heard_as": "On Sloth", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
48
  {"word": "ROCm", "heard_as": "Rockin", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
49
  {"word": "Whisperian", "heard_as": "Wisperion", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-22"}
50
  {"word": "abliteration", "heard_as": "Obliteration", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
51
+ {"word": "AMD", "heard_as": "MD", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
52
  {"word": "APK", "heard_as": "ABK", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
53
+ {"word": "Bituach Leumi", "heard_as": "betuachlomi", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
54
  {"word": "Cloudflare", "heard_as": "cloud fair", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
55
+ {"word": "Cloudflare", "heard_as": "Cloud Claire", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
56
+ {"word": "Cloudflare", "heard_as": "Cloud Clare", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
57
  {"word": "Colab", "heard_as": "Collab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
58
  {"word": "Colab", "heard_as": "Collab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
59
  {"word": "Colab", "heard_as": "collab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
60
  {"word": "Corn", "heard_as": "Coren", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
61
  {"word": "Corn", "heard_as": "Cornak's", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
62
  {"word": "Corn", "heard_as": "Eminent Corn", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
63
+ {"word": "Corn", "heard_as": "Corner", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
64
+ {"word": "DMARC", "heard_as": "GMARC", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
65
+ {"word": "DSR Holdings", "heard_as": "Vidyester Holdings", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
66
  {"word": "evals", "heard_as": "evalves", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
67
+ {"word": "F-Droid", "heard_as": "Fdroid", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
68
+ {"word": "few-shot", "heard_as": "fusil", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
69
+ {"word": "Hegseth", "heard_as": "Hagsets", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
70
  {"word": "Infisical", "heard_as": "Infiniscal", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
71
  {"word": "Janglo", "heard_as": "Danglo", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
72
  {"word": "Jupyter", "heard_as": "Jupiter", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
82
  {"word": "LoRA", "heard_as": "Loa", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
83
  {"word": "My Weird Prompts", "heard_as": "My WordPrompts", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
84
  {"word": "My Weird Prompts", "heard_as": "My Word Promise", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
85
+ {"word": "My Weird Prompts", "heard_as": "mywordprompt", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
86
  {"word": "NocoDB", "heard_as": "No CodeDB", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
87
  {"word": "NocoDB", "heard_as": "Nocode", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
88
  {"word": "NocoDB", "heard_as": "NokoDB", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
 
90
  {"word": "Qwen", "heard_as": "quen", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
91
  {"word": "regex", "heard_as": "RedJack", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
92
  {"word": "ROCm", "heard_as": "ROCM", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
93
+ {"word": "ROCm", "heard_as": "Rock'em", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
94
  {"word": "SaaS", "heard_as": "SAS", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
95
  {"word": "Sonnet", "heard_as": "Sommet", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
96
  {"word": "TTS", "heard_as": "CTS", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
97
  {"word": "Unsloth", "heard_as": "Unsoft", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
98
  {"word": "Unsloth", "heard_as": "On Sloth", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
99
+ {"word": "Unsloth", "heard_as": "Onsloth", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-23"}
100
+ {"word": "agentic", "heard_as": "agenda", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
101
+ {"word": "ASR", "heard_as": "ACR", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
102
+ {"word": "Claude Code", "heard_as": "clawed coat", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
103
+ {"word": "Claude Code", "heard_as": "claw code", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
104
+ {"word": "Claude Code", "heard_as": "Core Code", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
105
+ {"word": "Claude Code", "heard_as": "claudcode", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
106
+ {"word": "CLAUDE.md", "heard_as": "userlevelclaw.md", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
107
+ {"word": "CLAUDE.md", "heard_as": "4 MD", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
108
+ {"word": "Corn", "heard_as": "Korn", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
109
+ {"word": "Corn", "heard_as": "Corin", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
110
+ {"word": "DeepSeek", "heard_as": "DeepSee", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
111
+ {"word": "disfluency", "heard_as": "disluency", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
112
+ {"word": "disfluency", "heard_as": "Dispuency", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
113
+ {"word": "evals", "heard_as": "valves", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
114
+ {"word": "Hebrish", "heard_as": "Hebrew Shop", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
115
+ {"word": "Hebrish", "heard_as": "Hebrew shtal", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
116
+ {"word": "Hugging Face", "heard_as": "hogging face", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
117
+ {"word": "Hugging Face", "heard_as": "hogging face", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
118
+ {"word": "Infisical", "heard_as": "Infinisco", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
119
+ {"word": "Kaizen", "heard_as": "Kaiser", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
120
+ {"word": "LLM", "heard_as": "nelam", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
121
+ {"word": "LoRA", "heard_as": "Laura", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
122
+ {"word": "LoRA", "heard_as": "Laura", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
123
+ {"word": "LoRA", "heard_as": "lore", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
124
+ {"word": "LoRA", "heard_as": "lures", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
125
+ {"word": "Muse Spark", "heard_as": "News Spark", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
126
+ {"word": "My Weird Prompts", "heard_as": "MyWord Prompts", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
127
+ {"word": "Ollama", "heard_as": "ulama", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
128
+ {"word": "ONNX", "heard_as": "onyx", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
129
+ {"word": "post-processing", "heard_as": "PostgreSQL processing", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
130
+ {"word": "Qdrant", "heard_as": "Qdrint", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
131
+ {"word": "series", "heard_as": "Ceres", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
132
+ {"word": "series", "heard_as": "Siries", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
133
+ {"word": "SSE", "heard_as": "SSC", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
134
+ {"word": "Superwhisper", "heard_as": "Superwisper", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
135
+ {"word": "Typst", "heard_as": "TyPst", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
136
+ {"word": "Typst", "heard_as": "TIPS-type", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
137
+ {"word": "Z alias", "heard_as": "ZALAS", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
138
+ {"word": "Z alias", "heard_as": "Zed Elias", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": "eebf26d8c3f9139f6edb88e0d7a22375a0e25976", "source": "dictate", "date": "2026-10-24"}
words.jsonl CHANGED
@@ -1,39 +1,61 @@
1
- {"word": "ROCm", "heard_as": ["ROCM", "Rockham", "Rockin", "RCM"], "kinds": ["tech", "linux"], "meaning": "AMD's open-source GPU compute stack (like CUDA)", "occurrences": 14, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-23", "takes": 9, "target": 20, "status": "training"}
2
- {"word": "LoRA", "heard_as": ["Lores", "Loas", "Laura", "lores", "Loa", "LoRa"], "kinds": ["tech", "ai_interactions"], "meaning": "low-rank adapter fine-tuning", "occurrences": 10, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
3
- {"word": "Hugging Face", "heard_as": ["Hooking Face", "hugging face", "hooking face", "Hogging Face"], "kinds": ["tech", "ai_interactions"], "meaning": "the AI model and dataset hub", "occurrences": 4, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
4
- {"word": "My Weird Prompts", "heard_as": ["MyWord Prompts", "My WordPrompts", "My Word Promise"], "kinds": ["personal"], "meaning": "Daniel's AI podcast", "occurrences": 4, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-23", "takes": 9, "target": 20, "status": "training"}
5
- {"word": "NocoDB", "heard_as": ["No CodeDB", "Nocode", "NokoDB", "Noko DB"], "kinds": ["tech"], "meaning": "open-source no-code database", "occurrences": 4, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
6
- {"word": "Claude Code", "heard_as": ["clawed code", "clawed", "claud"], "kinds": ["tech", "ai_interactions"], "meaning": "Anthropic's coding agent CLI", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 1, "target": 20, "status": "training"}
7
- {"word": "Colab", "heard_as": ["Collab", "collab"], "kinds": ["tech"], "meaning": "Google's hosted notebook service", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
8
- {"word": "Corn", "heard_as": ["Coren", "Cornak's", "Eminent Corn"], "kinds": ["personal", "name"], "meaning": "co-host on Daniel's podcast My Weird Prompts", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
9
- {"word": "Hebrish", "heard_as": ["HeBrish", "Hebris", "keybrush"], "kinds": ["personal"], "meaning": "Daniel's Hebrew-English code-switching ASR project, app and Hugging Face org", "occurrences": 3, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
 
 
10
  {"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": 9, "target": 20, "status": "training"}
11
- {"word": "F-Droid", "heard_as": ["FDroid"], "kinds": ["tech"], "meaning": "the open-source Android app store", "occurrences": 2, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 9, "target": 20, "status": "training"}
 
 
 
 
12
  {"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": 8, "target": 20, "status": "training"}
13
  {"word": "Karpathy", "heard_as": ["Karpathi", "Karpathi's"], "kinds": ["name", "tech"], "meaning": "Andrej Karpathy, AI researcher and educator (ex-OpenAI, ex-Tesla AI)", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
14
- {"word": "Netanyahu", "heard_as": ["Etanyahu", "Etnia"], "kinds": ["name", "hebrew"], "meaning": "Israeli prime minister", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
15
- {"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": 8, "target": 20, "status": "training"}
16
- {"word": "Unsloth", "heard_as": ["Unsoft", "On Sloth"], "kinds": ["tech", "ai_interactions"], "meaning": "fine-tuning library and platform", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
17
- {"word": "abliteration", "heard_as": ["Obliteration"], "kinds": ["tech", "ai_interactions"], "meaning": "removing refusal behaviour from model weights", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
18
- {"word": "APK", "heard_as": ["ABK"], "kinds": ["tech"], "meaning": "Android app package", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
 
 
 
 
 
 
 
19
  {"word": "Boxty", "heard_as": ["E box d"], "kinds": ["personal"], "meaning": null, "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": null, "target": null, "status": "not-listed"}
20
  {"word": "Carrot Cake AI", "heard_as": ["Karrot Cake AI"], "kinds": ["personal"], "meaning": "a company/brand name Daniel uses, linked from his profiles", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
21
  {"word": "Chatterbox", "heard_as": ["Shatterbox"], "kinds": ["tech", "ai_interactions"], "meaning": "Resemble AI's open-source TTS model", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
22
- {"word": "Cloudflare", "heard_as": ["cloud fair"], "kinds": ["tech"], "meaning": "CDN and network provider", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
 
 
23
  {"word": "eSpeak", "heard_as": ["Espeak"], "kinds": ["linux"], "meaning": "the open-source speech synthesizer", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
24
- {"word": "evals", "heard_as": ["evalves"], "kinds": ["tech", "ai_interactions"], "meaning": "AI model evaluations", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
25
  {"word": "EXE", "heard_as": ["AXE"], "kinds": ["tech"], "meaning": "the Windows executable file format, said as letters", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 9, "target": 20, "status": "training"}
26
- {"word": "Infisical", "heard_as": ["Infiniscal"], "kinds": ["tech"], "meaning": "secrets manager", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
27
- {"word": "Janglo", "heard_as": ["Danglo"], "kinds": ["name"], "meaning": "English-speakers' community site in Israel", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
 
28
  {"word": "Jupyter Notebook", "heard_as": ["Jupiter notebooks"], "kinds": ["tech"], "meaning": "Interactive Python notebook environment (.ipynb files) for data science and ML", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
 
29
  {"word": "Kdenlive", "heard_as": ["Caden Live"], "kinds": ["linux"], "meaning": "the KDE video editor", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
 
30
  {"word": "Meorav", "heard_as": ["Maorab"], "kinds": ["personal", "hebrew"], "meaning": "Daniel's TTS voice-clone model; Hebrew for 'mixed'", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
31
- {"word": "Nvidia", "heard_as": ["NVideo"], "kinds": ["tech"], "meaning": "GPU maker", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
32
- {"word": "ONNX", "heard_as": ["ONIX"], "kinds": ["tech", "ai_interactions"], "meaning": "the Open Neural Network Exchange model format", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 9, "target": 20, "status": "training"}
 
 
33
  {"word": "prosody", "heard_as": ["porosity"], "kinds": ["other"], "meaning": "the rhythm, stress and intonation of speech, as in TTS", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
34
- {"word": "regex", "heard_as": ["RedJack"], "kinds": ["tech"], "meaning": "regular expression", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
35
- {"word": "SaaS", "heard_as": ["SAS"], "kinds": ["tech"], "meaning": "software as a service", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
 
36
  {"word": "Sabich", "heard_as": ["Tzabich"], "kinds": ["personal", "hebrew"], "meaning": "Daniel's main ASR fine-tune, named after the Israeli sandwich", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 9, "target": 20, "status": "training"}
37
- {"word": "Sonnet", "heard_as": ["Sommet"], "kinds": ["tech", "ai_interactions"], "meaning": "Anthropic's mid-tier Claude model", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
38
- {"word": "TTS", "heard_as": ["CTS"], "kinds": ["tech", "ai_interactions"], "meaning": "text-to-speech", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 3, "target": 20, "status": "training"}
39
- {"word": "Whisperian", "heard_as": ["Wisperion"], "kinds": ["tech"], "meaning": null, "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
 
 
 
1
+ {"word": "ROCm", "heard_as": ["ROCM", "Rockham", "Rockin", "RCM", "Rock'em"], "kinds": ["tech", "linux"], "meaning": "AMD's open-source GPU compute stack (like CUDA)", "occurrences": 15, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-23", "takes": 9, "target": 20, "status": "training"}
2
+ {"word": "LoRA", "heard_as": ["Lores", "Loas", "Laura", "lores", "Loa", "LoRa", "lore", "lures"], "kinds": ["tech", "ai_interactions"], "meaning": "low-rank adapter fine-tuning", "occurrences": 14, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-24", "takes": 2, "target": 20, "status": "training"}
3
+ {"word": "Claude Code", "heard_as": ["clawed code", "clawed", "claud", "clawed coat", "claw code", "Core Code", "claudcode"], "kinds": ["tech", "ai_interactions"], "meaning": "Anthropic's coding agent CLI", "occurrences": 7, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-24", "takes": 2, "target": 20, "status": "training"}
4
+ {"word": "Corn", "heard_as": ["Coren", "Cornak's", "Eminent Corn", "Corner", "Korn", "Corin"], "kinds": ["personal", "name"], "meaning": "co-host on Daniel's podcast My Weird Prompts", "occurrences": 6, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-24", "takes": 1, "target": 20, "status": "training"}
5
+ {"word": "Hugging Face", "heard_as": ["Hooking Face", "hugging face", "hooking face", "Hogging Face", "hogging face"], "kinds": ["tech", "ai_interactions"], "meaning": "the AI model and dataset hub", "occurrences": 6, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-24", "takes": 9, "target": 20, "status": "training"}
6
+ {"word": "My Weird Prompts", "heard_as": ["MyWord Prompts", "My WordPrompts", "My Word Promise", "mywordprompt"], "kinds": ["personal"], "meaning": "Daniel's AI podcast", "occurrences": 6, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-24", "takes": 9, "target": 20, "status": "training"}
7
+ {"word": "Hebrish", "heard_as": ["HeBrish", "Hebris", "keybrush", "Hebrew Shop", "Hebrew shtal"], "kinds": ["personal", "tech"], "meaning": "Daniel's Hebrew-English code-switching ASR project, app and Hugging Face org", "occurrences": 5, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-24", "takes": 9, "target": 20, "status": "training"}
8
+ {"word": "NocoDB", "heard_as": ["No CodeDB", "Nocode", "NokoDB", "Noko DB"], "kinds": ["tech"], "meaning": "open-source no-code database", "occurrences": 4, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
9
+ {"word": "Cloudflare", "heard_as": ["cloud fair", "Cloud Claire", "Cloud Clare"], "kinds": ["tech"], "meaning": "CDN and network provider", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
10
+ {"word": "Colab", "heard_as": ["Collab", "collab"], "kinds": ["tech"], "meaning": "Google's hosted notebook service", "occurrences": 3, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 2, "target": 20, "status": "training"}
11
+ {"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": 9, "target": 20, "status": "training"}
12
  {"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": 9, "target": 20, "status": "training"}
13
+ {"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": 2, "target": 20, "status": "training"}
14
+ {"word": "CLAUDE.md", "heard_as": ["userlevelclaw.md", "4 MD"], "kinds": ["ai_interactions"], "meaning": "Claude Code's instruction file", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
15
+ {"word": "disfluency", "heard_as": ["disluency", "Dispuency"], "kinds": ["tech"], "meaning": "fillers and false starts in speech", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
16
+ {"word": "evals", "heard_as": ["evalves", "valves"], "kinds": ["tech", "ai_interactions"], "meaning": "AI model evaluations", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-24", "takes": 1, "target": 20, "status": "training"}
17
+ {"word": "Infisical", "heard_as": ["Infiniscal", "Infinisco"], "kinds": ["tech"], "meaning": "secrets manager", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-24", "takes": 1, "target": 20, "status": "training"}
18
  {"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": 8, "target": 20, "status": "training"}
19
  {"word": "Karpathy", "heard_as": ["Karpathi", "Karpathi's"], "kinds": ["name", "tech"], "meaning": "Andrej Karpathy, AI researcher and educator (ex-OpenAI, ex-Tesla AI)", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
20
+ {"word": "Netanyahu", "heard_as": ["Etanyahu", "Etnia"], "kinds": ["name", "hebrew"], "meaning": "Israeli prime minister", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 2, "target": 20, "status": "training"}
21
+ {"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": 9, "target": 20, "status": "training"}
22
+ {"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": 10, "target": 20, "status": "training"}
23
+ {"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": 0, "target": 20, "status": "training"}
24
+ {"word": "Typst", "heard_as": ["TyPst", "TIPS-type"], "kinds": ["tech"], "meaning": "markup typesetting system (PDFs)", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
25
+ {"word": "Z alias", "heard_as": ["ZALAS", "Zed Elias"], "kinds": ["linux"], "meaning": "zoxide shortcut to a repo", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
26
+ {"word": "abliteration", "heard_as": ["Obliteration"], "kinds": ["tech", "ai_interactions"], "meaning": "removing refusal behaviour from model weights", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
27
+ {"word": "agentic", "heard_as": ["agenda"], "kinds": ["ai_interactions"], "meaning": null, "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
28
+ {"word": "AMD", "heard_as": ["MD"], "kinds": ["tech"], "meaning": "GPU and CPU maker", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
29
+ {"word": "APK", "heard_as": ["ABK"], "kinds": ["tech"], "meaning": "Android app package", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
30
+ {"word": "ASR", "heard_as": ["ACR"], "kinds": ["tech"], "meaning": "automatic speech recognition", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 3, "target": 20, "status": "training"}
31
+ {"word": "Bituach Leumi", "heard_as": ["betuachlomi"], "kinds": ["hebrew"], "meaning": "National Insurance Institute", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
32
  {"word": "Boxty", "heard_as": ["E box d"], "kinds": ["personal"], "meaning": null, "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": null, "target": null, "status": "not-listed"}
33
  {"word": "Carrot Cake AI", "heard_as": ["Karrot Cake AI"], "kinds": ["personal"], "meaning": "a company/brand name Daniel uses, linked from his profiles", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
34
  {"word": "Chatterbox", "heard_as": ["Shatterbox"], "kinds": ["tech", "ai_interactions"], "meaning": "Resemble AI's open-source TTS model", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
35
+ {"word": "DeepSeek", "heard_as": ["DeepSee"], "kinds": ["ai_interactions"], "meaning": null, "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 20, "status": "training"}
36
+ {"word": "DMARC", "heard_as": ["GMARC"], "kinds": ["tech"], "meaning": "email authentication reports", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
37
+ {"word": "DSR Holdings", "heard_as": ["Vidyester Holdings"], "kinds": ["personal", "name"], "meaning": "Daniel's company", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 3, "target": 20, "status": "training"}
38
  {"word": "eSpeak", "heard_as": ["Espeak"], "kinds": ["linux"], "meaning": "the open-source speech synthesizer", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
 
39
  {"word": "EXE", "heard_as": ["AXE"], "kinds": ["tech"], "meaning": "the Windows executable file format, said as letters", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 9, "target": 20, "status": "training"}
40
+ {"word": "few-shot", "heard_as": ["fusil"], "kinds": ["ai_interactions"], "meaning": "prompting with a few examples", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
41
+ {"word": "Hegseth", "heard_as": ["Hagsets"], "kinds": ["name"], "meaning": "US Secretary of Defense", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 0, "target": 20, "status": "training"}
42
+ {"word": "Janglo", "heard_as": ["Danglo"], "kinds": ["name"], "meaning": "English-speakers' community site in Israel", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
43
  {"word": "Jupyter Notebook", "heard_as": ["Jupiter notebooks"], "kinds": ["tech"], "meaning": "Interactive Python notebook environment (.ipynb files) for data science and ML", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 8, "target": 20, "status": "training"}
44
+ {"word": "Kaizen", "heard_as": ["Kaiser"], "kinds": ["other"], "meaning": "continuous small-step improvement", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
45
  {"word": "Kdenlive", "heard_as": ["Caden Live"], "kinds": ["linux"], "meaning": "the KDE video editor", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
46
+ {"word": "LLM", "heard_as": ["nelam"], "kinds": ["ai_interactions"], "meaning": "large language model", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 5, "target": 20, "status": "training"}
47
  {"word": "Meorav", "heard_as": ["Maorab"], "kinds": ["personal", "hebrew"], "meaning": "Daniel's TTS voice-clone model; Hebrew for 'mixed'", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
48
+ {"word": "Muse Spark", "heard_as": ["News Spark"], "kinds": ["ai_interactions"], "meaning": "LLM", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
49
+ {"word": "Nvidia", "heard_as": ["NVideo"], "kinds": ["tech"], "meaning": "GPU maker", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 1, "target": 20, "status": "training"}
50
+ {"word": "Ollama", "heard_as": ["ulama"], "kinds": ["tech", "ai_interactions"], "meaning": "local LLM runner", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 1, "target": 20, "status": "training"}
51
+ {"word": "post-processing", "heard_as": ["PostgreSQL processing"], "kinds": ["tech"], "meaning": "cleanup applied to ASR output", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
52
  {"word": "prosody", "heard_as": ["porosity"], "kinds": ["other"], "meaning": "the rhythm, stress and intonation of speech, as in TTS", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 9, "target": 20, "status": "training"}
53
+ {"word": "Qdrant", "heard_as": ["Qdrint"], "kinds": ["tech"], "meaning": "open-source vector database", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
54
+ {"word": "regex", "heard_as": ["RedJack"], "kinds": ["tech"], "meaning": "regular expression", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
55
+ {"word": "SaaS", "heard_as": ["SAS"], "kinds": ["tech"], "meaning": "software as a service", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 1, "target": 20, "status": "training"}
56
  {"word": "Sabich", "heard_as": ["Tzabich"], "kinds": ["personal", "hebrew"], "meaning": "Daniel's main ASR fine-tune, named after the Israeli sandwich", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 9, "target": 20, "status": "training"}
57
+ {"word": "Sonnet", "heard_as": ["Sommet"], "kinds": ["tech", "ai_interactions"], "meaning": "Anthropic's mid-tier Claude model", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 2, "target": 20, "status": "training"}
58
+ {"word": "SSE", "heard_as": ["SSC"], "kinds": ["tech"], "meaning": "server-sent events (MCP transport)", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
59
+ {"word": "Superwhisper", "heard_as": ["Superwisper"], "kinds": ["tech"], "meaning": "macOS dictation app", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-24", "last_seen": "2026-10-24", "takes": 0, "target": 20, "status": "training"}
60
+ {"word": "TTS", "heard_as": ["CTS"], "kinds": ["tech", "ai_interactions"], "meaning": "text-to-speech", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-23", "last_seen": "2026-10-23", "takes": 4, "target": 20, "status": "training"}
61
+ {"word": "Whisperian", "heard_as": ["Wisperion"], "kinds": ["tech"], "meaning": null, "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 1, "target": 20, "status": "training"}