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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Emu3: Next-Token Prediction is All You Need · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.18869/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Fri, 06 Nov 2026 05:38:49 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2409.18869/feed.xml" rel="self" type="application/rss+xml" /><item><title>Emu3: Next-Token Prediction is All You Need — mentioned by spi</title><link>https://news.ycombinator.com/item?id=50379659</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.18869:50379659</guid><pubDate>Thu, 05 Nov 2026 14:40:58 GMT</pubDate><description>&lt;p&gt;Well I doubt that :-) the image tokens can just be added as further tokens, so one wouldn&amp;#x27;t even need a dedicated output head. E.g. Emu architecture [1] does text, image, and videos all together. So definitely not new. That&amp;#x27;s not even a separate head, everything stays together. Regarding whether that&amp;#x27;s standard to pre-train multi-modal LLM, apparently that is not the case (at least, according to ChatGPT&amp;#x27;s answer, but that&amp;#x27;s reasonable - or anyway it was only a wild guess on my side). Apparently it&amp;#x27;s more common to have a text-only and an image-only pretraining phases, followed by an alignment…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.18869/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
