Cartesia 于 10 月 30 日发布面向企业的端到端语音智能体平台 Managed Agents，在 Artificial Analysis Speech Agent Arena 和 ServiceNow EVA-Bench 均排名第一。
A cascaded voice agent just won a blind human-preference ranking against native speech-to-speech models.
Today, Cartesia launched Managed Agents, ranked #1 on Artificial Analysis’ Speech Agent Arena.
Most LLMs learn from chunks of text picked by a tokenizer. But here, H-Nets learn directly from raw bytes and figure out those boundaries themselves.
This leads to 3–5x better efficiency in controlled scaling experiments. At larger scale, matching an open-source model trained on 11 trillion tokens with roughly 10x less training data and compute.
#1 in blind human preference and #1 in enterprise accuracy
Cascaded stack that sounds as natural as speech-to-speech
Own speech models and agent harness tuned as one system
Introducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise. #1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system. Check it out → https://cartesia.ai/blog/managed-agents在 X 查看被引用的帖子
来源：Rohan Paul · x.com