• 1 Post
  • 45 Comments
Joined 1 year ago
Cake day: September 27th, 2023
  • hersh@literature.cafetoTechnology@lemmy.world•Despite tech-savvy reputation, Gen Z falls behind in keyboard typing skillsEnglish
    9·
    2 months ago

    Absolutely this. Phones are the primary device for Gen Z. Phone use doesn’t develop tech skills because there’s barely anything you can do with the phones. This is particularly true with iOS, but still applies to Android.

    Even as an IT administrator, there’s hardly anything I can do when troubleshooting phone problems. Oh, push notifications aren’t going through? Well, there are no useful logs or anything for me to look at, so…cool. It makes me crazy how little visibility I have into anything on iPhones or iPads. And nobody manages “Android” in general; at best they manage like two specific models of one specific brand (usually Samsung or Google). It’s impossible to manage arbitrary Android phones because there’s so little standardization and so little control over the software in the general case.

  • hersh@literature.cafetoTechnology@beehaw.org•Kagi is announcing an AI Assistant.
    16·
    2 months ago

    I posted some of my experience with Kagi’s LLM features a few months ago here: https://literature.cafe/comment/6674957 . TL;DR: the summarizer and document discussion is fantastic, because it does not hallucinate. The search integration is as good as anyone else’s, but still nothing to write home about.

    The Kagi assistant isn’t new, by the way; I’ve been using it for almost a year now. It’s now out of beta and has an improved UI, but the core functionality seems mostly the same.

    As far as actual search goes, I don’t find it especially useful. It’s better than Bing Chat or whatever they call it now because it hallucinates less, but the core concept still needs work. It basically takes a few search results and feeds them into the LLM for a summary. That’s not useless, but it’s certainly not a game-changer. I typically want to check its references anyway, so it doesn’t really save me time in practice.

    Kagi’s search is primarily not LLM-based and I still find the results and features to be worth the price, after being increasingly frustrated with Google’s decay in recent years. I subscribed to the “Ultimate” Kagi plan specifically because I wanted access to all the premium language models, since subscribing to either ChatGPT or Claude would cost about the same as Kagi, while Kagi gives me access to both (plus Mistral and Gemini). So if you’re interested in playing around with the latest premium models, I still think Kagi’s Ultimate plan is a good deal.

    That said, I’ve been disappointed with the development of LLMs this year across the board, and I’m not convinced any of them are worth the money at this point. This isn’t so much a problem with Kagi as it is with all the LLM vendors. The models have gotten significantly worse for my use cases compared to last year, and I don’t quite understand why; I guess they are optimizing for benchmarks that simply don’t align with my needs. I had great success getting zsh or Python one-liners last year, for example, whereas now it always seems to give me wrong or incomplete answers.

    My biggest piece of advice when dealing with any LLM-based tools, including Kagi’s, is: don’t use it for anything you’re not able to validate and correct on your own. It’s just a time-saver, not a substitute for your own skills and knowledge.

  • hersh@literature.cafetoTechnology@lemmy.world•Google AI making up recalls that didn’t happenEnglish
    181·
    5 months ago

    DuckDuckGo is an easy first step. It’s free, publicly available, and familiar to anyone who is used to Google. Results are sourced largely from Bing, so there is second-hand rot, but IMHO there was a tipping point in 2023 where DDG’s results became generally more useful than Google’s or Bing’s. (That’s my personal experience; YMMV.) And they’re not putting half-assed AI implementations front and center (though they have some experimental features you can play with if you want).

    If you want something AI-driven, Perplexity.ai is pretty good. Bing Chat is worth looking at, but last I checked it was still too hallucinatory to use for general search, and the UI is awful.

    I’ve been using Kagi for a while now and I find its quick summaries (which are not displayed by default for web searches) much, much better than this. For example, here’s what Kagi’s “quick answer” feature gives me with this search term:

    Room for improvement, sure, but it’s not hallucinating anything, and it cites its sources. That’s the bare minimum anyone should tolerate, and yet most of the stuff out there falls wayyyyy short.

  • hersh@literature.cafeOPtoLinux@lemmy.ml•How can I get OpenCL to work on Debian Bookworm with an AMD 7900 XTX?
    2·
    6 months ago

    Ah, somehow I didn’t see 18 there and only looked at 17. Thanks!

    I tried pulling just the one package from the sid repo, but that created a cascade of dependencies, including all of llvm. I was able to get those files installed but not able to get clinfo to succeed. I also tried installing llvm-19 from the repo at https://apt.llvm.org/, with similar results. clinfo didn’t throw the fatal errors anymore, but it didn’t work, either. It still reported Number of devices 0 and OpenCL-based tools crashed anyway. Not with the same error, but with something generic about not finding a device or possibly having corrupt drivers.

    Should I bite the bullet and do a full ugprade to sid, or is there some way to this more precisely that won’t muck up Bookworm?

  • hersh@literature.cafetoTechnology@lemmy.world•Why I Lost Faith in KagiEnglish
    63·
    7 months ago

    I’ve been using Kagi for a while, so I’ll post a few quick thoughts I had after reading the article, linked blog, and mastodon thread.

    The one thing in the blog post I strongly disagree with is her statement that the summarizer is “the same old AI bullshit”. I think they just assumed that without actually testing it. The summarizer is fantastic, and is a great example of the right way to use LLMs. Its output comes entirely from the URL or file you specify. It does not hallucinate. You can ask it follow-up questions about the document, and again, its replies are limited in scope to what’s actually in that document. If you ask it something out of scope it’ll tell you that it can’t find that information in the document. This is great because it’s using the LLM for what LLMs are actually good for — complex language parsing — and not for what they’re bad for, like reasoning or information storage/retrieval. It’s actually quite difficult to misuse the summarizer. It’s straightforward and effective. This is Kagi’s killer feature, IMO.

    I can’t speak as highly of its search-integrated AI features like FastGPT. They mostly take information from the contents of the first few search results, but they also seem to “fill in the blanks” more than I’d like. Sometimes it gives me information that is simply not in the sources that it cites. It’s not as bad as using ChatGPT (which hallucinates all day every day, and if it ever tries to cite source is hallucinates those, too) but it needs improvement.

    That said, Kagi doesn’t shove the AI down your throat like you might think reading the blog post. These are separate features that need to be explicitly activated. Plain searches don’t return results from the LLMs. If you want that, you need to explicitly go to the assistant or trigger the “quick answer” feature on the search results page. EDIT: I just realized that this is not totally true as of a few weeks ago, when they added a feature to automatically trigger the “quick answer” blurb for search queries ending in a question mark. Perhaps that’s why Lori felt like it was over-emphasized.

    Anyway, back to the summarizer, here is an example of it in action. I gave it the URL of the Mastodon post. I think this is an excellent result. I also asked it an unrelated followup question so you can see that it limits itself to the information in the URL. It will not make shit up!

    The summarizer lets me download conversations in markdown form, so I’ll just paste it right in here so you can see.

    Exploring https://hackers.town/@lori/112255132348604770

    Assistant:
    Key points:

    • The author wrote a blog post criticizing the search engine Kagi, which then prompted the CEO of Kagi, Vlad, to email the author directly to argue against the criticism. [1]
    • The author woke up to an email from Vlad, the CEO of Kagi, who was upset about the blog post the author had written. [1]
    • The author decided to publicly share the email exchange with Vlad, as they felt it was important for people to see his unhinged behavior. [1]
    • The author refused to engage in a private debate with Vlad, as they did not want to be taken “to Crime Scene Number Two” without any accountability. [1]
    • The author believes Vlad is unable to accept criticism or disagreement, and that it “eats him alive” when someone doesn’t agree with him or his company. [1]
    • The author states that no other search engine CEO has emailed them directly to “mansplain their company” in this manner. [1]
    • The author sees Vlad’s behavior as “petty and sad” and believes he has no understanding of boundaries. [1]
    • Other users in the thread share similar experiences of Vlad’s inability to accept criticism and his tendency to simply restate his own opinions rather than address counterpoints. [1]
    • The author and others characterize Vlad’s behavior as that of a narcissist who cannot tolerate disagreement. [1]
    • The author and others are amazed by Vlad’s decision to set up a separate company in another country just to print and give away t-shirts, rather than focus on improving Kagi’s core search functionality.

    [1] lori (@lori@hackers.town)

    Query:
    What’s the capital of North Dakota?

    Assistant:
    The knowledge provided does not contain any information about the capital of North Dakota. The context is focused on an email exchange between the author and the CEO of Kagi search engine regarding criticism of the company.

  • hersh@literature.cafetoGames@sh.itjust.works•[NikTek] These Two Games are 9 Years ApartEnglish
    221·
    9 months ago

    Not sure if you’re referring to the graphics or to the shitty bench design. If the latter…it’s a real thing. :(

    They’re called “leaning benches” or “lean bars”. This bench design is sort of “futuristic” in the sense that adoption has only recently started taking off around the world. They are a user-hostile design made specifically to prevent people (specifically homeless people) from lying down, sleeping, or otherwise, y’know, using it as a goddamn bench. Because removing the ability for anyone to sit down is apparently, in the eyes of authorities, a small price to pay to make homeless people’s lives that much harder.

    The Wikipedia article for “Leaning bench” redirects to hostile architecture, where you can read more about this and similar efforts, if you are in the mood to be enraged at the sheer malice of bureaucrats.

    I’ve seen them in several cities across America. NYC starting rolling them out within the past decade and you’ll see them in any recently renovated station. See https://www.nydailynews.com/2017/09/11/subway-riders-slam-brooklyn-stations-new-leaning-bars-as-incredibly-unwelcoming/ (scroll through the image slideshow to see the new).

    Not sure if the image embed will work here but I’ll try: