AI Marker
Mark, disclose and prove AI content compliance.
What it does
AI Marker helps teams publishing AI-generated or AI-manipulated content comply with EU AI Act Article 50. Assess your duty with a structured obligation engine, label AI images, video, audio and text in all 24 official EU languages with embedded machine-readable disclosure records, and retain tamper-evident, RFC 3161-timestamped evidence.
Free tool to label AI-generated images and disclose AI-written text under EU AI Act Article 50. Disclosure labels in all 24 official EU languages, rendered in your browser — files never leave your device.
A practical Article 50 workflow for teams publishing AI-generated and AI-manipulated content: determine the duty, apply the right disclosure, and retain a defensible record. Built for the people accountable when AI content goes public. Replace ad-hoc wording, scattered approvals, and uncertain hand-offs with a workflow your team can repeat and explain. Map role, modality, audience, and exemptions to the relevant Article 50 duty. Apply legible labels and localized wording suited to the media and publishing context. Keep the decision, disclosure, and technical record together for internal or regulatory review. Answer a short set of questions about your role, media, and publishing context.…from markaimedia.com
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AI Disclosure RegisterAug 2026 · ai-disclosureregister.com · ▲2EU AI Act Article 50 compliance & audit logs in 60s
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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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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


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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.
AI · 16d ago · simedw.com