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Joined 1 year ago
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Cake day: September 27th, 2023

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  • That’s pretty much what I do, yeah. On my computer or phone, I split an epub into individual text files for each chapter using pandoc (or similar tools). Then after I read each chapter, I upload it into my summarizer, and perhaps ask some pointed questions.

    It’s important to use a tool that stays confined to the context of the provided file. My first test when trying such a tool is to ask it a general-knowledge question that’s not related to the file. The correct answer is something along the lines of “the text does not provide that information”, not an answer that it pulled out of thin air (whether it’s correct or not).




  • I’ve done this to give myself something akin to Cliff’s Notes, to review each chapter after I read it. I find it extremely useful, particularly for more difficult reads. Reading philosophy texts that were written a hundred years ago and haphazardly translated 75 years ago can be a challenge.

    That said, I have not tried to build this directly into my ereader and I haven’t used Boox’s specific service. But the concept has clear and tested value.

    I would be interested to see how it summarizes historical texts about these topics. I don’t need facts (much less opinions) baked into the LLM. Facts should come from the user-provided source material alone. Anything else would severely hamper its usefulness.



  • Sure. I’m referring to the ones that run big ad campaigns, like Nord and Mullvad. They tend to overstate how a VPN can protect you, sometimes in ways that barely make sense. There is no epidemic of criminals stealing personal credit card information over insecure wi-fi, for example. The ads play into ignorance and fear.

    That said, yeah, I’d rather be on a VPN when on a public wi-fi network. But I’m not really worried about someone sniffing my encrypted HTTPS traffic (which is pretty much everything nowadays; Firefox by default won’t even load unencrypted web sites).


  • Some VPNs allow multi-hopping, similar to Tor. I couldn’t give you an exhaustive list but most popular ones support this. Mullvad and Proton do, for example. There are also strategies to add noise into VPN traffic.

    This is not a silver bullet, of course. Tor has similar problems as you describe if an adversary has visibility into enough nodes. As always, this comes down to your threat model.

    On the one hand, I find the advertising of VPNs outright dishonest. On the other hand, I would trust any reputable VPN provider much more than I trust my ISP or cell carrier.


  • 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.


  • Because it’s not the same class of device. The PS Portal is very niche. It’s a $200 device that basically just runs the PS Remote Play app.

    I’ve used PS Remote Play on my phone and laptop, and it’s just not good in the cases I actually want to use it: when traveling away from home. Even with a good Internet connection it’s only “okay”. It’s utterly useless when in transit (trains, places, etc.), and 99% useless in any public place (e.g. cafe or library WiFi).

    These are all cases where the Switch, Deck, and similar devices excel. The PS Portal addresses a much smaller market.


  • 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:


  • Yeah, I wouldn’t be too confident in Facebook’s implementation, and I certainly don’t believe that their interests are aligned with their users’.

    That said, it seems like we’re reaching a turning point for big tech, where having access to private user data becomes more of a liability than an asset. Having access to the data means that they will be required by law to provide that data to governments in various circumstances. They might have other legal obligations in how they handle, store, and process that data. All of this comes with costs in terms of person-hours and infrastructure. Google specifically cited this is a reason they are moving Android location history on-device; they don’t want to deal with law enforcement constantly asking them to spy on people. It’s not because they give a shit about user privacy; it’s because they’re tired of providing law enforcement with free labor.

    I suspect it also helps them comply with some of the recent privacy protection laws in the EU, though I’m not 100% sure on that. Again, this is a liability issue for them, not a user-privacy issue.

    Also, how much valuable information were they getting from private messages in the first place? Considering how much people willingly put out in the open, and how much can be inferred simply by the metadata they still have access to (e.g. the social graph), it seems likely that the actual message data was largely redundant or superfluous. Facebook is certainly in position to measure this objectively.

    The social graph is powerful, and if you really care about privacy, you need to worry about it. If you’re a journalist, whistleblower, or political dissident, you absolutely do not want Facebook (and by extension governments) to know who you talk you or when. It doesn’t matter if they don’t know what you’re saying; the association alone is enough to blow your cover.

    The metadata problem is common to a lot of platforms. Even Signal cannot use E2EE for metadata; they need to know who you’re communicating with in order to deliver your messages to them. Signal doesn’t retain that metadata, but ultimately you need to take their word on that.



  • This is correct, albeit not universal.

    KDE has a predefined schedule for “release candidates”, which includes RC2 later this month. So “RC1” is clearly not going to be the final version. See: https://community.kde.org/Schedules/February_2024_MegaRelease

    This is at least somewhat common. In fact, it’s the same way the Linux kernel development cycle works. They have 7 release candidates, released on a weekly basis between the beta period and final release. See: https://www.kernel.org/category/releases.html

    In the world of proprietary corporate software, I more often see release candidates presented as potentially final; i.e. literal candidates for release. The idea of scheduling multiple RCs in advance doesn’t make sense in that context, since each one is intended to be the last (with fingers crossed).

    It’s kind of splitting hairs, honestly, and I suspect this distinction has more to do with the transparency of open-source projects than anything else. Apple, for example, may indeed have a schedule for multiple macOS RCs right from the start and simply choose not to share that information. They present every “release candidate” as being potentially the final version (and indeed, the final version will be the same build as the final RC), but in practice there’s always more than one. Also, Apple is hardly an ideal example to follow, since they’ve apparently never even heard of semantic version numbering. Major compatibility-breaking changes are often introduced in minor point releases. It’s infuriating. But I digress.



  • hersh@literature.cafetoLinux@lemmy.mlIs anyone using awk?
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    1 year ago

    All the time. Not always by choice!

    A lot of my work involves writing scripts for systems I do not control, using as light a touch as is realistically possible. I know for a fact Python is NOT installed on many of my targets, and it doesn’t make sense to push out a whole Python environment of my own for something as trivial as string manipulation.

    awk is super powerful, but IMHO not powerful enough to justify its complexity, relative to other languages. If you have the freedom to use Python, then I suggest using that for anything advanced. Python skills will serve you better in a wider variety of use cases.




  • Interesting. Are there any other accounts on your phone that provide contacts? Maybe social media or other chat platforms? On Android you can see accounts in Settings > Passwords & Accounts (or somewhere similar; it varies a little between brands). You can also check inside your Contacts app by expanding the sidebar (again, varies by brand).

    Just a thought. I don’t have any other contact providers on my phone so I can’t test it myself.

    Please keep us posted if you get any official response or learn anything new!



  • I used to run Tumbleweed with KDE on my Nvidia system. I found the rolling release structure of Tumbleweed to cause extra work for me, because kernel updates came frequently and occasionally broke the Nvidia drivers. As a workaround, I ended up pinning my kernel to an old version.

    Nvidia drivers have been at least a little troublesome on every distro I’ve used, particularly with the additional CUDA libraries.

    One nice thing about Suse is that it uses BTRFS by default, and you can use snapper to revert your whole system if something goes wrong. So if Nvidia shits the the bed after an update, it’s easy to roll back. Most distros default to ext4 and do not have snapshot support by default, which feels like living in the stone age to me after using Suse and BTRFS.

    Of course you CAN set up BTRFS and snapshots in any distro, but that’s a lot to ask for a beginner with Linux. I strongly recommend choosing a distro that does that for you, like Suse.