I'll pay for such a service each month and will be happy.
I donate the idea to the author of the Summarizer :)
161–170 of 172 posts
I'll pay for such a service each month and will be happy.
I donate the idea to the author of the Summarizer :)
I had it summarize a recipe for me. It did a good job, but definitely editorialized. The URL I sent included just the recipe for split pea soup, but the summary added that "Split pea soup is a hearty and comforting dish that is easy to make" (which is true, but wasn't in the original) and said that the soup "is sure to be a hit with the whole family" (again, true, but wasn't in the original). So I feel like "summary"…
There are two types of automatic document summarization methods, abstractive and extractive.
Abstractive analyze the original and then synthesize a summary, whereas extractive summaries are concatenated projections (sequences of text spans) from the original text.
The phenomenon you observed suggests this was produced by an abstractive summarizer. Pre-trained neural language models for abstractive summarizations that create pieces of new text that are untrue or make sense is a phenomenon often referred to as "hallucinating" models. In my research, I found extractive summaries are more suitable for professional applications; extractive models never hallucinate, and the worst mistakes are (1) leaving out an important part and (2) creating misunderstandings through left out context.
The leaders in the field of summarization research do not believe there can be something like a "universal summarizer", because the same document can be summarized for very different purposes, even by the same person on different occasions). For example, a lawyer may read a case summary one time to get up to speed about what her client got accused of in a lower court trial, and ten years later she may refer so said case again for a trial procedural detail that re-occurred in another case on a completely different subject matter.
Highlight the following and drag it to your bookmarks bar.
javascript:Object.assign(document.createElement("a"), {href: `https://labs.kagi.com/ai/sum?url=${encodeURIComponent(window.location)}`, target: "_blank"}).click();https://labs.kagi.com/ai/sum?url=https://www.delfi.lt/news/d...
This was the summary:
Jessica Yamada is a therapist working with a patient, Victoria, who is struggling with the possibility of uncontrollable, incurable plagues. Jessica is also trying to help a young woman, Lily, who is torn between fatalism and wanting to help her friends stick together. Finally, Jessica is talking to Eidolon, a powerful man who is losing his powers and is trying to fight a monster to the death. Jessica is trying to help her patients in a variety of ways, from providing coping mechanisms to offering moral support. She is also encouraging them to push beyond their limits and to structure their arguments in a more logical and coherent way. An interesting detail is that Ratz, a character in the bar in the novel Catch 22, has a prosthetic arm, which adds to the atmosphere of the bar. The story highlights the fragility of life and the power of the universe, and serves as a reminder of the importance of cherishing the time we have on Earth. The message of the story is that even in the face of great danger, it is possible to find courage and strength in friendship and loyalty. Thoreau encourages readers to explore their own inner depths and to strive for truth and simplicity. He argues that material wealth is not as important as the wealth of the mind, and that true happiness comes from within.
https://labs.kagi.com/ai/sum?url=https://news.ycombinator.co...
I asked it to summarize this HN comment page, and all it talks about are the Turner Diaries. Any idea why it's fixated on impalallama's comment? https://labs.kagi.com/ai/sum?url=https://archive.ph/3JDtf
It is because of the cache, as someone probably summarized the page very early on. Current summary straight from the API: "Universal Summarizer is a tool developed by Kagi that is able to quickly and accurately summarize articles, videos, and other texts. It is able to pick out unique and interesting details from the text, such as the fact that a character in a book has a prosthetic arm, or that a certain card is leg…
Here is a quick bookmarklet that uses this to open the summary for the current page in a new tab. Highlight the following and drag it to your bookmarks bar. javascript:Object.assign(document.createElement("a"), {href: `https://labs.kagi.com/ai/sum?url=${encodeURIComponent(window.location)}`, target: "_blank"}).click();