Meta 和 OpenAI 想把智能体卖到发展中国家，结果发现网络不稳定和本地语言适配才是真正的坎，报道讲得很实际。
Rest of World 报道，Meta 和 OpenAI 都计划把 AI 智能体推广到全球发展中国家市场。报道指出，这些地区的网络基础设施脆弱，会直接影响智能体的稳定运行。同时，当地语言多样性带来的语言支持缺口也是两大公司需要解决的问题。
Meta and OpenAI want to take AI agents global, but fragile networks and language barriers pose steep hurdles across developing nations https://t.co/26G0yDmqHW https://t.co/PkKtWkDRwn
Meta 拿 150 亿美元债券融资搞 AI 基础设施，其中 32.5 亿美元票息 6.25%，算力军备竞赛又烧出新高。
Meta 的人现场讲自家模型怎么给 Business Agent 和广告创意做后训练，还提到 Muse Spark 和 Muse Glimmer 在 Fireworks 上跑，做后训练的可以看看。
Meta 找 Fourier 代工，三个月就攒出第一台人形机器人，还要把 Muse 智能体装进去，走的又是硬件外包路线。
Feature engineering pipelines, not model architectures, are often the real bottleneck in large-scale ads systems, and F3 Lightning targets exactly that gap. ML platform engineers building ranking or recommendation infrastructure can study how Meta compiles tens of thousands of features into one graph and what the next iteration changes. Meta published the full engineering write-up on 3 Nov 2026.
