Live data from Hacker News

Kagi News

blog.kagi.com

121–130 of 454 posts

Re: Kagi News

#121
There is almost no good reason to keep up with current events in a "news feed" style. I'd maybe like a feed that has a 1 month window summarizing any news cycle that survived 3 days. If it came and went in one cycle, then just don't bother about it. Most of the news is just propaganda anyway. I suppose it's wise to have a sense of the "current thing" so you don't put your foot in it with colleagues who are inhabiting a tighter timeline than you are, but other than that there doesn't seem to be many use cases for keeping tabs in a news feed. Maybe if you're in the business of disrupting/reinforcing people's OODA loops you might need to know some of this stuff, but otherwise it's just a self-own to keep up with the news.

Re: Kagi News

#122
post #105
post #72

Earlier quoted context omitted.

I have yeah, to me it looks like what I described in my comment above, it's LLM generated text, is it not? > And pretty much every single sentence cites the original article(s). Yeah but again, correct me if I'm wrong, but I don't think asking an LLM to provide a source / citation yields any guarantee that the text it generates alongside it is accurate. I also see a lot of text without any citations at all, here are…

They are LLM generated summaries, sure. I guess I'm trying to understand your comment. Is there a distinction you're making between LLM summaries or LLM generated text, or are you stating that they aren't being transparent about the summaries being generated by LLMs (as opposed to what? human editors?). Because at some point when I launched the app, it did say summaries might be inaccurate. Looks like you found an ex…

> I guess I'm trying to understand your comment. Is there a distinction you're making between LLM summaries or LLM generated text, or are you stating that they aren't being transparent about the summaries being generated by LLMs (as opposed to what? human editors?).

The main point of my original comment was that I wanted to understand what this is, how it works and whether I can trust the information on there, because it wasn't completely clear to me.

I'm not super up to date with AI stuff, but my working knowledge is that I should never trust the output of an LLM and always verify it myself, so therefore I was wondering if this is just LLM output or if there is some human review process, or a mechanism related to the citation functions that makes it output of a different, more trusted category.

I did catch the message on the loading screen as well now, I do still think it could be a little more clear on the individual articles about it being LLM generated text, apart from that I think I understand somewhat better what it is now.

Re: Kagi News

#123
post #23

Just to be clear I'm understanding correctly: This is pulling the content of the RSS feeds of several news sites into the context window of an LLM and then asking it to summarize news items into articles and fill in the blanks? I'm asking because that is what it looks like, but AI / LLMs are not specifically mentioned in this blog post, they just say news are 'generated' under the 'News in your language' heading, whi…

> when you ask an LLM to point to 'sources' for the information it outputs, as far as I know there is no guarantee that those are correct

A lot of times when I ask for a source, I get broken links. I'm not sure if the links existed at one point, or if the LLM is just hallucinating where it thinks a link should exist. CDN libraries, for example. Or sources to specific laws.

Re: Kagi News

#124
post #23

Just to be clear I'm understanding correctly: This is pulling the content of the RSS feeds of several news sites into the context window of an LLM and then asking it to summarize news items into articles and fill in the blanks? I'm asking because that is what it looks like, but AI / LLMs are not specifically mentioned in this blog post, they just say news are 'generated' under the 'News in your language' heading, whi…

Yes, that's what it is. Kagi as a brand is LLM-optimist, so you may be fundamentally at odds with them here... If it lessens the issue for you, the sources of each item are cited properly in every example I tried, so maybe you could treat it as a fancy link aggregator

I'm about as AI-pessimist as it gets, but Kagi's use of LLMs is the most tasteful and practical I've seen. It's always completely opt-in (e.g. "append a ? to your search query if you want an AI summary", as opposed to Google's "append a swear word to your search query if you don't want one"), it's not pushy, and it's focused on summarizing and aggregating content rather than trying to make it up.

Re: Kagi News

#125
post #26

Ground offers a paid service that summarizes a broad range of sources and intentionally helps you escape your filter bubble, https://ground.news/ .

I'm just waiting for whatever shady practice or controversy behind this infinite YouTube sponsorship is to finally come out like all the others have.

Re: Kagi News

#127
post #66

Any payments to journalists and news sites?

As much as i hate modern news sites and our ad riddled culture, its pretty hard to ignore that this tool couldn't exist without the articles that those same news sites are creating. 100 years ago, imagine a service that just took all newspapers and summarized them like this somehow, and everyone knew they had no actual writers but just an advanced printer that could merge articles or some goofy w/e.

can't imagine it would go over well in the court system.

Re: Kagi News

#128
It actually seems nice. I realize Reddit is not a news source but it used to be a great way to see current events and get level-headed takes on those events. This approach could be a better non-biased* alternative.

* for now

Re: Kagi News

#129
Between this app (kagi) and the Harmony hacknernews client, I'm super happy if this is my only content consumption on the internet/smartphone. The kagi app just needs a black/oled theme please, and can we bump the aricles from 12 to 20 or 30? 12 is just a tiny bit shy.
Post reply on HN