Error list: 19 words, 38 occurrences (review 2026-10-22)

README.md

@@ -23,7 +23,7 @@ code-switching, Jerusalem). Each word here is fed back into training as a **prio
 recording app serves sentences with it first until there are enough takes of it. No transcript text,
 audio or other content of the dictations is published, only the word, the wrong forms and the model.
 
-- 18 words, 35 occurrences. Last review: 2026-10-22.
+- 19 words, 38 occurrences. Last review: 2026-10-22.
 - `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
   version); `model_rev` is the exact weights' revision, recorded from app 0.7.3. Errors from before
   the app recorded the model have none.
@@ -43,14 +43,15 @@ audio or other content of the dictations is published, only the word, the wrong
 | Chatterbox | Shatterbox | 1 | 0 / 20 |
 | eSpeak | Espeak | 1 | 0 / 20 |
 | EXE | AXE | 1 | 0 / 20 |
+| Jupyter | Jupiter | 1 | 0 / 20 |
+| Jupyter Notebook | Jupiter notebooks | 1 | 0 / 20 |
+| Karpathy | Karpathi | 1 | 0 / 20 |
 | Kdenlive | Caden Live | 1 | 0 / 20 |
 | Meorav | Maorab | 1 | 0 / 20 |
 | ONNX | ONIX | 1 | 0 / 20 |
 | prosody | porosity | 1 | 0 / 20 |
 | Qwen | Qwen1 | 1 | 0 / 20 |
 | Sabich | Tzabich | 1 | 0 / 20 |
-| Jupyter |  | 0 | 0 / 20 |
-| Jupyter Notebook |  | 0 | 0 / 20 |
 
 ## Release tests
 

occurrences.jsonl

@@ -12,6 +12,9 @@
 {"word": "Hebrish", "heard_as": "keybrush", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
 {"word": "Hebrish", "heard_as": "HeBrish", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
 {"word": "Hugging Face", "heard_as": "Hooking Face", "model": null, "model_line": null, "model_version": null, "model_rev": null, "source": "reported", "date": "2026-10-22"}
+{"word": "Jupyter", "heard_as": "Jupiter", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
+{"word": "Jupyter Notebook", "heard_as": "Jupiter notebooks", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
+{"word": "Karpathy", "heard_as": "Karpathi", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
 {"word": "Kdenlive", "heard_as": "Caden Live", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
 {"word": "Meorav", "heard_as": "Maorab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}
 {"word": "My Weird Prompts", "heard_as": "MyWord Prompts", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "model_rev": null, "source": "dictate", "date": "2026-10-22"}

words.jsonl

@@ -8,11 +8,12 @@
 {"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": 0, "target": 20, "status": "training"}
 {"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": 0, "target": 20, "status": "training"}
 {"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": 0, "target": 20, "status": "training"}
+{"word": "Jupyter", "heard_as": ["Jupiter"], "kinds": ["tech"], "meaning": "Open-source project behind Jupyter Notebook and JupyterLab; pronounced like the planet Jupiter", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"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": 0, "target": 20, "status": "training"}
+{"word": "Karpathy", "heard_as": ["Karpathi"], "kinds": ["name", "tech"], "meaning": "Andrej Karpathy, AI researcher and educator (ex-OpenAI, ex-Tesla AI)", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
 {"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": 0, "target": 20, "status": "training"}
 {"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": 0, "target": 20, "status": "training"}
 {"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": 0, "target": 20, "status": "training"}
 {"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": 0, "target": 20, "status": "training"}
 {"word": "Qwen", "heard_as": ["Qwen1"], "kinds": ["tech", "ai_interactions"], "meaning": "Alibaba's Qwen model family", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
 {"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": 0, "target": 20, "status": "training"}
-{"word": "Jupyter", "heard_as": [], "kinds": ["tech"], "meaning": "Open-source project behind Jupyter Notebook and JupyterLab; pronounced like the planet Jupiter", "occurrences": 0, "models": [], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
-{"word": "Jupyter Notebook", "heard_as": [], "kinds": ["tech"], "meaning": "Interactive Python notebook environment (.ipynb files) for data science and ML", "occurrences": 0, "models": [], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}