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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.09802/</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/2305.09802/feed.xml" rel="self" type="application/rss+xml" /><item><title>Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models — mentioned by evmaki</title><link>https://news.ycombinator.com/item?id=38991525</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.09802:38991525</guid><pubDate>Sun, 14 Jan 2024 15:54:18 GMT</pubDate><description>&lt;p&gt;Awesome write-up - especially the fact that you&amp;#x27;ve gotten it working with good performance locally. It certainly requires a little bit more hardware than your typical home assistant, but I think this will change over time :) I&amp;#x27;ve been working on this problem in an academic setting for the past year or so [1]. We built a very similar system in a lab at UT Austin and did a user study (demo here https://youtu.be/ZX_sc_EloKU). We brought a bunch of different people in and had them interact with the LLM home assistant without any constraints on their command structure. We wanted to see how these…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.09802/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.HC</category></item><item><title>Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models — mentioned by evmaki</title><link>https://news.ycombinator.com/item?id=36014135</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.09802:36014135</guid><pubDate>Sat, 20 May 2023 18:03:18 GMT</pubDate><description>&lt;p&gt;Super exciting to see the work happening in this area! I can especially appreciate the use of ChatGPT to orchestrate the necessary API calls, rather than relying on some kind of middleware to do it. I have been working in this area (LLMs for ubiquitous computing, more generally) for my PhD dissertation and have discovered some interesting quality issues when you dig deeper [0]. If you only have lights in your house, for instance, the GPT models will always use them in response to just about any command you give, then post-rationalize the answer. If I say &amp;quot;it&amp;#x27;s too chilly in here&amp;quot; in a house…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.09802/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.HC</category></item></channel></rss>
