a16z 合伙人 Martin Casado 谈 Jev：实验室在做会说话的存在，软件需要的是会做选择的模型

他指出 LLM 是文本进文本出，源自聊天场景，过去几年把这种生成文本的模型硬塞进传统程序一直很别扭。Jev 的思路是让模型从给定选项中做选择，速度更快、成本更低，且因为可以针对性训练而准确率更高，Casado 称这可能是自 ChatGPT 以来采用速度最快的 AI 模型。

三人还讨论了 2028 年 AI 选举话题、智能体对权限与安全体系的冲击，以及 GDPR 式 AI 监管的风险。

Martin Casado on why the labs missed Jev: they're building beings that speak, and software needed a model that chooses. "LLMs were text in, text out. They generate text, and they came from chat... We've spent the last few years trying to take this thing that spits out text and cram it into a traditional program... It's just been super janky." "Jev basically said, 'Generating text as output is very expensive, but it's also more complicated than you need... If you give us a set of options, we'll choose the best option. We can do that incredibly fast, incredibly cheaply, but also with much more accuracy because we can train just for this.'" "This has probably been the fastest adoption of an AI model since ChatGPT. It's been remarkable because we were all primed for this." "[The labs] are trying to create beings, and beings speak. If you're trying to create God, God speaks in natural languages. This is really about something that's for traditional software." @martin_casado

本条情报归属 AITOP「行业」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：Jev、Martin Casado、a16z、AI监管，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。

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