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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pathways: Asynchronous Distributed Dataflow for ML · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2203.12533/</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/2203.12533/feed.xml" rel="self" type="application/rss+xml" /><item><title>Pathways: Asynchronous Distributed Dataflow for ML — mentioned by ericjang</title><link>https://news.ycombinator.com/item?id=35647254</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.12533:35647254</guid><pubDate>Thu, 20 Apr 2023 22:17:40 GMT</pubDate><description>&lt;p&gt;Jeff was very early on in the &amp;quot;just scale up the big brain&amp;quot; idea, perhaps as early as 2012 (Andrew Ng training networks on 1000s of CPUs). This vision is sort of summarized in https://blog.google/technology/ai/introducing-pathways-next-... and fleshed out more in https://arxiv.org/abs/2203.12533, but he had been internally promoting this idea since before 2016. When I joined Brain in 2016, I had thought the idea of training billion/trillion-parameter sparsely gated mixtures of experts was a huge waste of resources, and that the idea was incredibly naive. But it turns out he was right, and it…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.12533/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Pathways: Asynchronous Distributed Dataflow for ML — HN submission</title><link>https://news.ycombinator.com/item?id=30913766</link><guid isPermaLink="false">urn:hackerpapers:submission:2203.12533:30913766</guid><pubDate>Tue, 05 Apr 2022 00:26:22 GMT</pubDate><description>&lt;p&gt;Pathways: Asynchronous Distributed Dataflow for ML&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2203.12533/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Pathways: Asynchronous Distributed Dataflow for ML — HN submission</title><link>https://news.ycombinator.com/item?id=30855131</link><guid isPermaLink="false">urn:hackerpapers:submission:2203.12533:30855131</guid><pubDate>Wed, 30 Mar 2022 13:45:06 GMT</pubDate><description>&lt;p&gt;Google Pathways: Asynchronous Distributed Dataflow for ML&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2203.12533/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item></channel></rss>
