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Hacker News · 2026/8/2 04:05:56
Karpathy’s Pelican

Karpathy’s Pelican

AI 中文解读
AI圈又整活了!前OpenAI科学家Karpathy分享了一个惊人实验:让最新的Opus 5模型读《指环王》第一段,花10美元、跑两小时,竟然生成了5500行代码,把故事做成一个粗糙但能动的3D场景。以前我们测试AI就是让它画个“骑自行车的鹈鹕”,现在它已经能自动搭建一个微型迷你世界了。 这事最妙的地方在于,过去没人会花时间写这种高度定制的小程序,可AI有的是耐心,成本几乎为零,所以从“没人愿意做”变成了“随便玩玩”。Karpathy甚至设想,未来你随口一说,AI就能生成一个临时“GTA版指环王”,让你进去当旁观者或某个角色。 不过他也指出AI的一个大短板:它没法像人一样直接“看”视频或亲自玩游戏来检查自己作品的效果,只能笨拙地截图确认,所以成品还是有不少瑕疵。这说明AI的多模态感知和“动手实践”能力,依然是接下来要攻克的硬骨头。
Andrej Karpathy@karpathyWe're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all. I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it's an example where we go from "no one would ever do this" to "sure, why not, it's ~free". There might be a lot more. But I'm excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand. Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking.00:003:00 · 2026年8月2日303.2万Views125318102.4万9962
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