
Xplained
Instant AI explainers based on web results
What it does
Instant AI Explainers based on Web Results Think Perplexity, but for explaining concepts in simple and short format with related images, videos and recent news items. What would you like to know today?
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- ETExplain This – AI explanations in a web app instead of chatbot2024 · inlinehelp.com · ▲8
"Explain This" was inspired by Github Copilot, where you can get an easy code explanation. So we bring this into a web app for customer support. I believe that chatbots are not it for customer support and that AI has better uses. "Explain This" allows the user to pick any part of web app and get it explained. The explanation is generated on the fly from the knowledge base; no need to have the content prepared; it will figure out the user's context and find the most fitting parts of the text we can then use to generate the content. When implemented it reduces the number of chatbot…

Instant AnswerJun 2026 · chromewebstore.google.com · ▲3AI study assistant that helps students learn faster
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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.
AI · 19d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 20d ago · company-app.joinastute.com


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…
AI · 29d ago · cactuscompute.com


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- IM
Life & fun · 2024 · sitinshade.com
