A cascaded voice agent just won a blind human-preference ranking against native…
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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 enterpr
Posted by Rohan Paul (160.6k followers) 14 h ago · 15 likes · 2.8k views · view the original post on X. Kept by the Dev Radar as Other. Tools mentioned: Cartesia.
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