模型多源确认精选73°

GPT-6 Astra通过Computer Use直接操作Minecraft

还记得三年 GPT-4 玩 Minecraft 吗?那时候还要借助专门的脚本,还要自己做记忆库技能库。 现在 GPT-6 Astra 借助 Computer Use 就可以直接搞定了。 但现在看 ...

精选理由

GPT-6 Astra现在能直接玩Minecraft了,比三年前GPT-4时代简单太多,Voyager当时就实现了技能自进化。

三年前GPT-4玩Minecraft需要专门脚本和记忆库技能库。现在GPT-6 Astra借助Computer Use可直接完成游戏操作。Voyager作为最早实现技能自进化和记忆功能的系统,在Minecraft中获取3.3倍更多独特物品,旅行距离增加2.3倍,解锁关键科技树速度快15.3倍。

图片来源 · 宝玉
原文 · 宝玉

还记得三年 GPT-4 玩 Minecraft 吗?那时候还要借助专门的脚本,还要自己做记忆库技能库。 现在 GPT-6 Astra 借助 Computer Use 就可以直接搞定了。 但现在看 ...

还记得三年 GPT-4 玩 Minecraft 吗?那时候还要借助专门的脚本,还要自己做记忆库技能库。 现在 GPT-6 Astra 借助 Computer Use 就可以直接搞定了。 但现在看 Voyager 依然很了不起,那时候就已经实现了 Skill 的自进化和记忆功能,算是最早的 Harness 雏形之一了。 Your browser does not support the video tag. 🔗 View on Twitter Jim Fan @DrJimFan What if we set GPT-4 free in Minecraft? ⛏️ I’m excited to announce Voyager, the first lifelong learning agent that plays Minecraft purely in-context. Voyager continuously improves itself by writing, refining, committing, and retrieving *code* from a skill library. GPT-4 unlocks a new paradigm: “training” is code execution rather than gradient descent. “Trained model” is a codebase of skills that Voyager iteratively composes, rather than matrices of floats. We are pushing no-gradient architecture to its limit. Voyager rapidly becomes a seasoned explorer. In Minecraft, it obtains 3.3× more unique items, travels 2.3× longer distances, and unlocks key tech tree milestones up to 15.3× faster than prior methods. We open-source everything. Let generalist agents emerge in Minecraft! Welcome you all to try today: voyager.minedojo.org Paper: arxiv.org/abs/2305.16291 Code: github.com/MineDojo/Voyag… Deep dive with me: 🧵 Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 5 👀 2229 📊 1 ⚡