Replit老板用Qwen-8b模型下棋，三个实验同时跑，还说没学过ML也能搞，值得看看怎么玩的。
Replit CEO Amjad Masad展示其computer use模型与自建国际象棋引擎的对弈过程。他在Replit上微调了一个Qwen-8b模型来下棋，并行运行三个实验分支并取得进展。Masad指出模型在ML任务上的能力提升显著，即使没有机器学习经验的人，只要有好的直觉也能做出有趣的ML工作。
Fun to see Replit's computer use model play against my new chess engine
Fun to see Replit's computer use model play against my new chess engine Your browser does not support the video tag. 🔗 View on Twitter Amjad Masad @amasad Vibe Research Fine-tuning a Qwen-8b model to play chess on Replit. Running 3 parallel branches with different experiments and making real progress. It's amazing how far models have come in their ability to do ML (they used to be really bad at it). So now someone with good intuition to guide the process could do interesting ML work, even if they have never done it before. 🔗 View Quoted Tweet 💬 14 🔄 10 ❤️ 181 👀 30263 📊 27 ⚡