Index

Updates

Short project updates and release notes: new model versions, milestones and what changed.

6 updates

Fritter gets a streaming version and direct downloads

26 Cheshvan 5787 Update

Fritter gets a streaming version and direct downloads

Fritter, my English dictation fine-tune for technical vocabulary, is at v1.2 with a first streaming version. Both now download directly from plain URLs, and here is how it differs from my code-switching model.

speech-recognition fine-tuning dictation +2
Update: a 32 MB model for ASR paragraph breaks

23 Cheshvan 5787 Update

Update: a 32 MB model for ASR paragraph breaks

MiniLM-L12-ASR-Paragraph-Breaks replaces my Gemma 3 270M paragraph model: break F1 0.85 against 0.78, 32 MB instead of 437 MB, and it cannot change a word of the transcript.

ai-models hugging-face dictation +3
My Weird Prompts passes 6,000 episodes

8 Cheshvan 5787 Update

My Weird Prompts passes 6,000 episodes

My Weird Prompts, my fully automated AI podcast, crossed 6,000 episodes on 15 October 2026: 5,991 in the archive, 2,688 hours of audio, and new translated editions in eight languages.

my-weird-prompts text-to-speech ai-agents +3
Whisper Hebrish Small ACFT: a code-switching model for FUTO Keyboard

6 Cheshvan 5787 Update

Whisper Hebrish Small ACFT: a code-switching model for FUTO Keyboard

A phone-sized Whisper Hebrish for FUTO Keyboard on Android. It halves the stock English model's error rate on English-with-Hebrew dictation (11.8% to 5.8% WER) and imports as a single 264 MB file.

ai-models whisper speech-recognition +4
Whisper Hebrish v2 Released

6 Cheshvan 5787 Update

Whisper Hebrish v2 Released

Version 2 of Whisper Hebrish, my Whisper fine-tune for English with Hebrew words mixed in. Code-switching WER drops from 14.7% (stock turbo) to 6.7%, and there are whisper.cpp builds.

ai-models whisper speech-recognition +4
inventory-spec-extractor: a 34 MB model for reading product spec lines

4 Cheshvan 5787 Update

inventory-spec-extractor: a 34 MB model for reading product spec lines

A small token-classification model that pulls voltages, connectors, materials and 22 other attributes out of one line of a product spec. Runs on CPU in about 20 ms per line. F1 0.85 against a regex baseline's 0.58.

ai-models machine-learning home-inventory +3