https://hackerpaper.kaipfister.de/p/2108.07258/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=41084003urn:hackerpapers:submission:2108.07258:41084003Sat, 27 Jul 2024 02:13:14 GMT<p>The Opportunities and Risks of Foundation Models (2021)</p><p></p><p>1 point; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=35217632urn:hackerpapers:submission:2108.07258:35217632Sun, 19 Mar 2023 10:23:50 GMT<p>On the Opportunities and Risks of Foundation Models</p><p></p><p>1 point; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=34461202urn:hackerpapers:mention:2108.07258:34461202Fri, 20 Jan 2023 22:49:06 GMT<p>New AI tasks are being unlocked by (large-scale) foundation models (Liang, 2022). Fine-tuning in low-resource (few-shot) scenarios is now possible for many new applications. However, these new AI applications relied upon a huge pretrained model to get there. Because the old approach of training from scratch on 100 labeled examples didn&#x27;t work well. Thus, we want to distill the knowledge so that the model can be deployed in low-resource scenarios. [edit: I see your below comment about the concern about transformer cost. Agreed. This is one of the many concerns around foundation models that…</p><p><a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=28279252urn:hackerpapers:submission:2108.07258:28279252Mon, 23 Aug 2021 17:32:36 GMT<p>On the Opportunities and Risks of Foundation Models</p><p></p><p>20 points; 6 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=28237460urn:hackerpapers:submission:2108.07258:28237460Thu, 19 Aug 2021 18:30:25 GMT<p>On the Opportunities and Risks of Foundation Models</p><p></p><p>2 points; 1 discussion reply on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=28229529urn:hackerpapers:submission:2108.07258:28229529Thu, 19 Aug 2021 02:04:31 GMT<p>On the Opportunities and Risks of Foundation Models</p><p></p><p>2 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=28223649urn:hackerpapers:submission:2108.07258:28223649Wed, 18 Aug 2021 16:35:45 GMT<p>On the Opportunities and Risks of Foundation Models</p><p></p><p>3 points; 1 discussion reply on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=28213070urn:hackerpapers:submission:2108.07258:28213070Tue, 17 Aug 2021 18:16:25 GMT<p>On the Opportunities and Risks of Foundation Models</p><p></p><p>4 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2108.07258/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG