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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Moshi: a speech-text foundation model for real-time dialogue · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2410.00037/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2410.00037/feed.xml" rel="self" type="application/rss+xml" /><item><title>Moshi: a speech-text foundation model for real-time dialogue — mentioned by quotemstr</title><link>https://news.ycombinator.com/item?id=48835154</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.00037:48835154</guid><pubDate>Wed, 08 Jul 2026 18:04:06 GMT</pubDate><description>&lt;p&gt;&amp;gt; GPT-Live-1 is the first version of a new generation of models, and we believe the full-duplex architecture + delegation enables entirely new ways of human-AI interaction. Awesome. Are you guys able to share anything about the model architecture? I&amp;#x27;ve been interested lately in split-transformer RVQ-based conversational agents, e.g. via stuff like https://arxiv.org/abs/2412.10208 (ResGen) and https://arxiv.org/abs/2603.18090 (MOSS-ITT) and of course Moshi (https://arxiv.org/pdf/2410.00037). Intuitively, decoupling semantic and audio-timeslice-space generations with coupled but distinct…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.00037/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item><item><title>Moshi: a speech-text foundation model for real-time dialogue — mentioned by rockwotj</title><link>https://news.ycombinator.com/item?id=47227431</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.00037:47227431</guid><pubDate>Tue, 03 Mar 2026 03:01:49 GMT</pubDate><description>&lt;p&gt;Fundamentally, the &amp;quot;guessing when its your turn thing&amp;quot; needs to be baked into the model. I think the full duplex mode that Moshi pioneered is probably where the puck is going to end up: https://arxiv.org/abs/2410.00037&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.00037/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item><item><title>Moshi: a speech-text foundation model for real-time dialogue — mentioned by navanchauhan</title><link>https://news.ycombinator.com/item?id=47221889</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.00037:47221889</guid><pubDate>Mon, 02 Mar 2026 18:22:50 GMT</pubDate><description>&lt;p&gt;Not affiliated with Sesame, but this is what the realtime models are trying to solve. If you look at NVIDIA’s PersonaPlex release [0], it uses a duplex architecture. It’s based on Moshi [1], which aims to address this problem by allowing the model to listen and generate audio at the same time. [0] https://github.com/NVIDIA/personaplex [1] https://arxiv.org/abs/2410.00037&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.00037/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item><item><title>Moshi: a speech-text foundation model for real-time dialogue — mentioned by vvolhejn</title><link>https://news.ycombinator.com/item?id=45657447</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.00037:45657447</guid><pubDate>Tue, 21 Oct 2025 16:02:47 GMT</pubDate><description>&lt;p&gt;Author here. Speech-to-text is more or less solved, it&amp;#x27;s easy to automatically get captions including precise timestamps. For training Moshi, Kyutai&amp;#x27;s audio LLM, my colleagues used whisper-timestamped to transcribe 7 million hours of audio. See Section 4.2 in the Moshi paper: https://arxiv.org/pdf/2410.00037&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.00037/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item><item><title>Moshi: a speech-text foundation model for real-time dialogue — mentioned by tmzt</title><link>https://news.ycombinator.com/item?id=42612258</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.00037:42612258</guid><pubDate>Mon, 06 Jan 2025 16:53:06 GMT</pubDate><description>&lt;p&gt;I would say Gemini Live is getting there. It&amp;#x27;s lacking integration with NotebookLM and Keep. It would be amazing if I started a project conceptually and wanted to move to code it could fire up VS Code and let me get to work. Gemini&amp;#x27;s home automation works nicely and it can understand comments like it&amp;#x27;s too dark in here or it&amp;#x27;s cold inside and act appropriately. This is using the Android app as an assistant, not live mode. OpenAI&amp;#x27;s implementation is apparently similar but I haven&amp;#x27;t tried the voice mode as a free user. I haven&amp;#x27;t tried Apple Intelligence yet on my M1 and don&amp;#x27;t have an iPhone, so…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.00037/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item><item><title>Moshi: a speech-text foundation model for real-time dialogue — mentioned by benob</title><link>https://news.ycombinator.com/item?id=42572548</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.00037:42572548</guid><pubDate>Thu, 02 Jan 2025 07:39:52 GMT</pubDate><description>&lt;p&gt;A relatively detailed description of such systems: https://arxiv.org/abs/2410.00037&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.00037/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>eess.AS</category></item></channel></rss>
