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repliedto wop's post 37 minutes ago
🧪 SlopFinder is here!! We're building a dataset to study what humans actually consider AI slop. SlopFinder shows you a random piece of AI-generated text and gives you one simple control: **how slop is it?** No categories. No complicated forms. Just vote and move on. Every vote helps build the dataset. 🧩 How does it work? Samples are pulled from existing datasets, shown anonymously, and collected into our annotation pool. After enough votes, they're exported to Hugging Face for everyone to use. This is an early MVP, so the dataset is small and the system is still evolving. Vote here: https://bench-labs.web.app/slopfinder.html (refresh page if you want to skip) Dataset: https://huggingface.co/datasets/bench-labs/slop-classification @benchlabs
reacted to Banaxi-Tech's post with 🔥 about 1 hour ago
We're exited to announce BananaMind OS, our OS specically for running BananaMind models! Its able to run BananaMind 2 Nano at 4 bit on only 7-8MB of ram, the 2 bit on 6MB of ram and the 8 bit version on 14MB of RAM! It runs on a 486 or newer! Check out this video and image running BananaMind 2 Nano 4 Bit on 9 MB of RAM and a emulated 486 in QEMU at ~1TPS! We asked it: "What is the first letter of the alphabet?" The response is: "The first letter of the alphabet is: - A. " Comment and like this post for a GitHub link and comment for adding other models!
repliedto wop's post about 1 hour ago
🧪 SlopFinder is here!! We're building a dataset to study what humans actually consider AI slop. SlopFinder shows you a random piece of AI-generated text and gives you one simple control: **how slop is it?** No categories. No complicated forms. Just vote and move on. Every vote helps build the dataset. 🧩 How does it work? Samples are pulled from existing datasets, shown anonymously, and collected into our annotation pool. After enough votes, they're exported to Hugging Face for everyone to use. This is an early MVP, so the dataset is small and the system is still evolving. Vote here: https://bench-labs.web.app/slopfinder.html (refresh page if you want to skip) Dataset: https://huggingface.co/datasets/bench-labs/slop-classification @benchlabs
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