Learn beautifully, with content-specific AI lessons
Hi HN, For 4 years I've worked on the psychology of learning following a CompSci degree with an AI minor from back in 2019. I love the future of effective learning that is coming. This is a way for you to study for specific exams, lectures and videos. You upload your content, and get specific, citing flashcard exercises delivered in a fun way. Not only can you view the timestamp in the video that a question was generated from, for example, but your answers are used to inform a "Compilation stage". The Compilation stage uses your choices of answers (and wrong answers), as well as data on when…
What it does
In the maker’s words, at launch
Hi HN, For 4 years I've worked on the psychology of learning following a CompSci degree with an AI minor from back in 2019. I love the future of effective learning that is coming. This is a way for you to study for specific exams, lectures and videos. You upload your content, and get specific, citing flashcard exercises delivered in a fun way. Not only can you view the timestamp in the video that a question was generated from, for example, but your answers are used to inform a "Compilation stage". The Compilation stage uses your choices of answers (and wrong answers), as well as data on when you clicked to "Explain why", to summarise your knowledge gaps and create a specific action plan for studying the next day - a plan which conceptually understands Involved in this tool are transformer models, including the classics (BERT, T5, etc), the new kid (ChatGPT), and embeddings (for balls-amazing lessons segmentation). One last thing, we have two different UK and US brands, because of cultural differences. Answer one question: Have you ever been cheered on by a website before? Would love to hear your thoughts. You can try it for free with a PDF, or youtube video, respectively at studywand.com and studywand.com/video
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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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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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In today's world, catchy headlines and articles often distract readers from the facts and relevant information. By utilizing OpenAI's language models, Boring Report processes sensationalist news articles, transforms them into the content you see, and helps readers focus on the essential details. We recently updated our iOS app experience, so any and all feedback would be appreciated. App Link: https://apps.apple.com/us/app/boring-report-news-by-ai/id644...
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