想了解开源编程模型怎么练的？这期聊了Laguna和每天几万次实验，讲得很具体。
Arena Conversations首期节目上线，主持人Peter Gostev与Poolside研究员Connor Adams和Aalhad Patankar对话。两人介绍Laguna模型家族的开源进展，并解释为何公开完整训练轨迹而非仅发布基准分数。他们提到Poolside的“实验”涵盖数据混合、训练框架设计和奖励调优，每天运行数万次。视频已在YouTube发布。
The first episode of Arena conversations is here! Find the link below.
The first episode of Arena conversations is here! Find the link below. Arena.ai @arena Meet… Arena Conversations. @petergostev sits down with @poolsideai researchers,Connor Adams and Aalhad Patankar, to discuss how they’re building frontier open coding models. Episode drops today at 10am PT on our YouTube. They dig into Poolside's Laguna model family, why the team publishes full trajectories (not just benchmark scores) for anyone to audit, and how "experiments" at Poolside range from data mixes to harness design to reward-tuning decisions run tens of thousands of times a day. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 6 👀 3231 📊 1 ⚡