Qoder 的产品总监要在阿姆斯特丹讲企业怎么把 AI 编程智能体真正用起来,做落地的可以去听。
Scale AI
Training data and model evaluation
What they do
Founded in San Francisco in 2016, Scale AI provides data labelling, training data and model evaluation to AI labs and government customers. Meta took a large stake in 2025 and founder Alexandr Wang joined Meta.
Latest coverage
Stories in the feed that mention this companyPost-training a smaller open NVIDIA model to match frontier accuracy at 1/40 the inference cost is a concrete signal that domain-specific fine-tuning can undercut flagship APIs for production agent workloads. Teams running high-volume ticket or support agents should benchmark Nemotron 3.5 Super VL against their current frontier model on cost and latency. The Skydance collaboration shows enterprises bringing their own production data to post-training partners.
一次 44 分钟电话让 Zuckerberg 拍板重金请来 Scale AI 创始人 Alexandr Wang,讲了这桩挖角背后的故事。
Scale AI 跟卡塔尔政府部门搞了多年合作,AI 直接进了立法起草和课堂教学这些具体政务场景,可以看看他们实际怎么落地的。
CoreWeave 参与的 llm.d 出 1.0 了,做大规模推理部署的可以看看这个开源项目。
Scale AI 的 CEO 说中美 AI 竞争的关键不在芯片而是数据,这个视角跟平时看的芯片分析很不一样,聊聊他的依据。
讲的是 Meta 花大价钱挖来的 Alexandr Wang,辍学生出身,现在被认为是 Zuckerberg 的潜在接班人,故事挺有意思。
有人把 9 家大模型和机器人数据公司的收入、毛利、融资全摆出来对比,还给了三个判断这类生意值不值得投的关键问题,做这行的值得看看。
Specialisation, not scale, is the pitch: NVIDIA supplies open post-training tooling while Scale AI contributes the data and evaluation layer, so the joint value is a pipeline for tailoring Nemotron 3.5 Super VL to vertical workloads. Enterprises weighing specialised fine-tunes against frontier general models, and teams already in the NVIDIA ecosystem, are the natural audience. Availability details and pricing were not in the announcement.
Mistral 和 CERN 要联手把几十亿次模拟对撞数据喂进一个大模型,看 AI 能不能帮物理学家分析实验,方向挺新鲜的。
Scale 的 Alexandr Wang 转发了 Claire Vo 实测 Muse Wonder 和 Wonder Full 的评价,想了解两款版本差别可以看看。