Pensatorium
Speak your thoughts. Unlock order, actions and insights.
What it does
Most thoughts usually get lost. Speak your thoughts — chaotic, half-formed, in the middle of a walk. Pensatorium does the rest. It structures what you said, connects threads across thoughts, and surfaces what you didn't notice. It organizes action items, and turns scheduled actions into calendar events automatically. Ask questions and it answers from your own thinking. Speak, and walk away with clarity, action, and a day that already knows what to do. Not a second brain. A thinking partner.
Speak your thoughts freely. Pensatorium turns your voice notes into an organized, connected record so you can see what you're really thinking.
Speak your thoughts and Pensatorium turns them into organized, connected notes. Then it helps you see what you keep coming back to. Speak your thoughts. A few seconds later they're organized notes you can search and build on. Hit record and speak naturally, even if it comes out as rambling. There's no need to organize anything as you go. AI instantly transcribes and structures your thoughts into clear, searchable notes. Your messy stream-of-consciousness becomes an organized knowledge base. When you want to go deeper, ask. Reflections gather everything you've said about a topic and read it back to you, tracing how your thinking has moved over time. Good ideas show up in the shower, on the…from pensatorium.ai
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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