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AIVertify is building a verification layer that challenges AI output across models, evidence and disagreement—then turns the result into a decision-ready confidence report. Strong agreement, but evidence quality and minority disagreement make human review appropriate. AIVertify uses four independent AI judges to review each response from different angles, then separates four questions ordinary AI interfaces blur together: Do the judges agree? Is there evidence? Where do they conflict? Does a human need to decide? Ask a question, paste an AI response or submit content that needs verification. Independent model outputs are compared for semantic agreement and conflicting claims. Supporting…from aivertify.com
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Commerce · 26d ago · equitybee.com
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