ExposeAI
AI Detection in Real Time on Social Media
What it does
ExposeAI is a Chrome extension that flags potentially AI-generated images and video as you browse — on Google Images, social media, or any website. Unlike most AI detectors, there's no downloading the file and uploading it to a separate tool: it runs in real time, right on the page, while you scroll.
ExposeAI is a Chrome extension that helps you identify potentially AI-generated images and media while browsing websites and social media.
The Chrome extension analyzes supported images and visual media as you scroll through websites and social feeds, helping you make more informed decisions. Add the extension from the Chrome Web Store and keep browsing with no extra setup. Scroll, research, and view images while ExposeAI evaluates supported media in the page. ExposeAI displays an AI-likelihood result directly in the browser so you can view context and move on. ExposeAI checks supported images and media while you browse, without forcing you to download or upload files. Works directly inside Chrome for smoother, more convenient analysis in the browser experience. See clear, easy-to-read results that explain whether content is…from exposeai.tech
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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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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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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