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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Poison of Alignment · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2308.13449/</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/2308.13449/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Poison of Alignment — mentioned by benreesman</title><link>https://news.ycombinator.com/item?id=42869986</link><guid isPermaLink="false">urn:hackerpapers:mention:2308.13449:42869986</guid><pubDate>Wed, 29 Jan 2025 19:33:36 GMT</pubDate><description>&lt;p&gt;Operator-aligned models are believed by many to be more performant. https://arxiv.org/pdf/2308.13449 Sometimes with hilarious consequences: https://youtu.be/efPrtcLdcdM&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2308.13449/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>The Poison of Alignment — mentioned by paulmd</title><link>https://news.ycombinator.com/item?id=40685074</link><guid isPermaLink="false">urn:hackerpapers:mention:2308.13449:40685074</guid><pubDate>Fri, 14 Jun 2024 21:00:03 GMT</pubDate><description>&lt;p&gt;Ollama is not as powerful as llama.cpp or raw pytorch, but it is almost zero effort to get started. brew install ollama; ollama serve; ollama pull llama3: 8b-v2.9-q5_K_M; ollama run llama3: 8b-v2.9-q5_K_M https://ollama.com/library/dolphin-llama3:8b-v2.9-q5_K_M (It may need to be Q4 or Q3 instead of Q5 depending on how the RAM shakes out. But the Q5_K_M quantization (k-quantization is the term) is generally the best balance of size vs performance vs intelligence if you can run it, followed by Q4_K_M. Running Q6, Q8, or fp16 is of course even better but you’re nowhere near fitting that on…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2308.13449/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>The Poison of Alignment — mentioned by galaxytachyon</title><link>https://news.ycombinator.com/item?id=37394533</link><guid isPermaLink="false">urn:hackerpapers:mention:2308.13449:37394533</guid><pubDate>Tue, 05 Sep 2023 16:52:51 GMT</pubDate><description>&lt;p&gt;Found it, it is a pretty recent paper. https://arxiv.org/pdf/2308.13449.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2308.13449/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>The Poison of Alignment — mentioned by galaxytachyon</title><link>https://news.ycombinator.com/item?id=37393564</link><guid isPermaLink="false">urn:hackerpapers:mention:2308.13449:37393564</guid><pubDate>Tue, 05 Sep 2023 15:58:53 GMT</pubDate><description>&lt;p&gt;I remember there is a study about the alignment cost. Basically the more restrictions and limit you put on a model, the worse its general performance becomes. Things like a ban on violence, race, or any other sensitive topics effectively throttle or change how the model &amp;quot;reason&amp;quot; or connect information within its network of parameters and result in degraded capacity. I wonder if this is the reason behind all of this. Edit: the study: https://arxiv.org/pdf/2308.13449.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2308.13449/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>The Poison of Alignment — HN submission</title><link>https://news.ycombinator.com/item?id=37341594</link><guid isPermaLink="false">urn:hackerpapers:submission:2308.13449:37341594</guid><pubDate>Thu, 31 Aug 2023 18:22:13 GMT</pubDate><description>&lt;p&gt;The Poison of Alignment&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2308.13449/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>The Poison of Alignment — HN submission</title><link>https://news.ycombinator.com/item?id=37317145</link><guid isPermaLink="false">urn:hackerpapers:submission:2308.13449:37317145</guid><pubDate>Wed, 30 Aug 2023 03:01:05 GMT</pubDate><description>&lt;p&gt;The Poison of (LLMs) Alignment&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;17 points; 3 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2308.13449/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>The Poison of Alignment — HN submission</title><link>https://news.ycombinator.com/item?id=37306685</link><guid isPermaLink="false">urn:hackerpapers:submission:2308.13449:37306685</guid><pubDate>Tue, 29 Aug 2023 12:25:10 GMT</pubDate><description>&lt;p&gt;The Poison of Alignment&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/2308.13449/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
