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Cartesia

Company blog · cartesia.ai/blogai

Cartesia is the company blog at cartesia.ai, writing about ai. Since 2024, 15 different Hacker News readers have linked it 16 times, most often “The on‑Device Intelligence Update”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
16mentions?
15HN people?
2024–2026first – last linked?
Links on Hacker News per year · peak 10 in 2024

Too few sampled comments (5) to say how often HN recommends it.?

Why HN links it

HN commenters mention Cartesia mainly as a company and product: a low-latency TTS API built on its Sonic model, and constant-time models for audio. The comments do not discuss its writing.

Summarised by Claude from a sample of 5 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Cartesia builds real-time voice AI: production voice agents, lifelike text-to-speech, and accurate speech-to-text in 44 languages.

Most-linked posts?

  1. The on‑Device Intelligence Update
    3 people · 3 mentions · first linked 2024-08-27
  2. /
    3 people · 3 mentions · first linked 2024-10-15
  3. /sonic
    2 people · 2 mentions · first linked 2024-05-29
  4. Sonic: A Low-Latency Voice Model for Lifelike Speech
    2 people · 2 mentions · first linked 2024-05-29

What Hacker News says?

  1. Cartesia is doing constant time models for audio: https://cartesia.ai/

    Comment linking /

    on “Neural audio codecs: how to get audio into LLMs”
  2. Submitted Hierarchical Modeling (H-Nets) as a story · 93 points

    HN discussion
  3. This is still four times more expensive than Cartesia ( https://cartesia.ai/ ) and three times more expensive than OpenAI's TTS API. In general, TTS APIs seem to run with much higher margins than LLMs from what I know.

    Comment linking /

    on “Play 3.0 mini – A lightweight, reliable, cost-efficient Multilingual TTS model”
  4. Submitted Scaling Hierarchical Networks as a story · 92 points

    HN discussion
  5. I work at Cartesia, which operates a TTS API similar to Play [1]. I’d be willing to venture a guess and say that our TTS model, Sonic, is probably SoTA for on-device, but don't quote me on that claim. It's the same model that powers our API. Sonic can be run on a MacBook Pro. Our API sounds better, of course, since that's running the model on GPUs without any special tricks like quantization. But subjectively the on…

    Comment linking /sonic

    on “Play 3.0 mini – A lightweight, reliable, cost-efficient Multilingual TTS model”
  6. Submitted Sonic: A Low-Latency Voice Model for Lifelike Speech as a story · 16 points

    HN discussion
  7. The MAMBA [1] model gained some traction as a potential successor. It's basically an RNN without the non linearity applied across hidden states, which makes it logarithmic time (instead of linear time) inference with a parallelizable scan [2]. It promises much faster inference with much lower compute costs, and I think up to 7B params, performs on par with transformers. I've yet to see a 40B+ model trained. The rese…

    Comment linking /

    on “Ask HN: Is anybody building an alternative transformer?”
  8. Submitted Show HN: New Cartesia Text-to-Speech Model as a story · 10 points

    HN discussion
  9. Looks like they have samples on this page: https://cartesia.ai/sonic

    Comment linking /sonic

    on “Sonic: A Low-Latency Voice Model for Lifelike Speech”
  10. Submitted Cartesia tops text-to-speech leaderboard with Sonic 3.6 as a story · 1 points

    HN discussion
  11. Submitted Cartesia AI releases SOTA TTS and ASR models as a story · 1 points

    HN discussion
  12. Submitted 'Tis the Hackathon Season at Cartesia as a story · 1 points

    HN discussion
  13. Submitted The on‑Device Intelligence Update as a story · 1 points

    HN discussion
  14. Submitted On-Device Intelligence as a story · 1 points

    HN discussion
  15. Submitted The on‑Device Intelligence Update as a story · 1 points

    HN discussion
  16. Submitted Sonic: A Low-Latency Voice Model for Lifelike Speech as a story · 1 points

    HN discussion

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