

What’s wrong with Seedvault?
What’s wrong with Seedvault?
But here’s the really funky bit. If you ask Claude how it got the correct answer of 95, it will apparently tell you, “I added the ones (6+9=15), carried the 1, then added the 10s (3+5+1=9), resulting in 95.” But that actually only reflects common answers in its training data as to how the sum might be completed, as opposed to what it actually did.
This is not surprising. LLMs are not designed to have any introspection capabilities.
Introspection could probably be tacked onto existing architectures in a few different ways, but as far as I know nobody’s done it yet. It will be interesting to see how that might change LLM behavior.
I refer you to #7 on Bruce Tognazzini’s evergreen top ten list of design bugs.
Oh huh. I didn’t know there even was a video. Perhaps my ad/tracker blockers cut it.
Just found a hands-on CNET video: https://www.cnet.com/videos/at-ces-2025-tcl-debuts-new-tcl-60-phone-with-e-ink-display/
Never used TCL’s “Nxtpaper” so not totally sure how it compares.
TCL is releasing a new phone later this year with a toggle-able e-ink mode. So you can use it with in full color when you want, and switch to e-ink when you want. It’s in a more conventional aspect ratio so apps will look more “normal”. I can say from experience with my Boox e-reader that a lot of apps do not work well in 4:3.
https://www.theverge.com/2025/1/6/24335983/tcl-60-xe-nxtpaper-e-ink-specs-ces
Might be my next phone if the CPU and software is not awful (big if).
Weird. That used to say “container-native”, which at least makes sense – it heavily emphasizes container technologies like Flatpak, Docker/Podman, and Distrobox.
There’s no yum or dnf like on a standard Fedora system (though you can use rpm-ostree if you are desperate). As an “immutable” distro, it’s designed so that you do not install apps at the system level.
I’m running Bazzite on my desktop now. I hopped distros again because wrestling with GPU drivers was just too much trouble. After I upgraded my GPU, I couldn’t get it working optimally in Debian (see my previous thread about OpenCL). On Bazzite, it’s handled for me out of the box.
To me, the only difference between a “gaming” distro and a regular distro is that gaming distros come with smarter hardware drivers and configs out of the box. I see no downside.
It was a rough learning curve, though. There were so many major things that were new to me, such as:
My biggest advice to anyone making the switch is, do not fear Distrobox. I didn’t realize how easy it was to make both GUI apps and command-line tools available as first-class citizens within the host OS. For example, I installed Signal within my Debian box, then exported it with distrobox-export --app signal-desktop
and boom, it operates like any other app within Bazzite. I slept on Distrobox for years and now I feel like a fool. It’s awesome. You can use Boxbuddy as a GUI to help you get started.
I’m overall very happy with Bazzite now.
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 get that, and it’s good to be cautious. You certainly need to be careful with what you take from it. For my use cases, I don’t rely on “reasoning” or “knowledge” in the LLM, because they’re very bad at that. But they’re very good at processing grammar and syntax and they have excellent vocabularies.
Instead of thinking of it as a person, I think of it as the world’s greatest rubber duck.
If the guesser wins routinely, this suggests that the thinker can access about 220≈1 million possible items in the few seconds allotted.
I’m not sure this premise is sound. Are there not infinitely more than 2^20 permutations of the game?
This would be true if the questions were preset, but the game, in reality, requires the guesser to make choices as the game progresses. These choices can be quite complex, relying on a well developed theory of mind and shared cultural context. Not all the information is internal to the mechanics of the game.
The unspoken rules of the game also require the thinker to pick something that can plausibly be solved. Picking something outlandishly obscure would be frowned upon. The game is partly cooperative in that sense.
If you were to reduce the game to “guess the number I’m thinking of between 0 and infinity”, then it wouldn’t be very fun, it would not persist across time and cultures, and you wouldn’t be studying it. But you might get close to a 0% win rate (or…maybe not?).
I’d guess that most of the “few seconds” the thinker spends is actually to reduce the number of candidates to something reasonable within the context of the game. If that’s true, it says nothing whatsoever about the upper bound of possibilities they are capable of considering.
Idea for further research: establish a “30 questions” game and compare win rates over time. Hypothesis: the win rate in 30 questions would fall to similar levels as with “20 questions” as players gained experience with the new mechanics and optimized their internal selection process.
our brain will never extract more than 10 bits/s
Aren’t there real recorded cases of eidetic memory? E.g. The Mind of a Mnemonist. I have not re-read that book with a mind toward information theory, so perhaps I am overestimating/misremembering the true information content of his memories.
It’s as open as most Android brands. I don’t use any of Boox’s services or apps. I installed F-Droid and use open-source apps from there. I use Librera as my ebook reader, with Syncthing to sync my book library between my desktop, ereader, and phone. It’s possible to set up the Play Store but I don’t bother, personally.
It’s not a 100% smooth experience but I’m very happy with the F-Droid compatibility. I absolutely refuse to get locked into a walled garden.
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.
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.
The lengths people will go to just to avoid learning how to properly cook vegetables…
A non-smartphone, that is, a cell phone like the ones that today’s parents had when we were young and with which we made calls and sent text messages, was enough for us, and it did not cause addiction.
That’s not the way I remember it. Texting addiction was a thing. That’s how Twitter became popular; it was basically a way to broadcast SMS to friends at first.
I guess it’s a matter of degrees.
Ad-based services are the real problem here, I think. You don’t hear people complaining about Wikipedia addiction.
Sadly, there’s no official LineageOS for the OnePlus 10 or 11 series. I remember back with the 7 series it was officially supported on launch, and OnePlus sent units to open source developers. I don’t think OnePlus cares that much about the development community anymore.
These are not “normal” tablets, but Boox’s line of ePaper-based readers are the only Android tablets that distinguish themselves sufficiently in my already-large family of devices. I’ve used “normal” tablets with full-color LCD/OLED displays, on both the Android and iPadOS side, but I rarely find a good use for them. I’ve found them to sit in an awkward space with neither the convenience of my phone, nor the utility of my laptop.
The ePaper-based tablets are ideal for reading, but I do not relegate them merely to the “e-reader” category because they allow you to install Google Play and run basically any Android app. This makes them more flexible and powerful than most e-readers.
It comes with a built-in browser optimized for monochrome, and you can also install third-party alternatives like EinkBro.
That said, it’s only for advanced users, and it’s not a perfectly smooth experience. Just getting Google Play running on it requires jumping through some hoops, and you will find that most Android apps simply don’t work well on a monochrome display (though Boox does offer color models, I have not used them myself).
I was hoping, for example, to use my Boox tablet to play Go, but despite the fact that Go is very much a “black and white” game, most of the apps use shading and colors that look like absolute ass on a black and white display. Some of them do not properly support the 4:3 aspect ratio either. So I don’t want to set unreasonable expectations here. These are niche devices.
Despite these drawbacks, I really appreciate having an ePaper device. It complements my device family (phone, laptop, etc.) in a way other tablets do not.
Agreed. The time to push for third parties is every day except presidential election day. That’s just the reality of the system right now.
Change doesn’t begin at the top. It begins at the bottom. Many state and local elections across the US already use ranked choice voting, which is the bare minimum we would need to have more than 2 viable candidates in the presidential election. We need to push for ranked choice voting (or something better; it’s not the be-all-end-all of voting systems!) in federal elections as well.
We have a generation of voters now who are literally too young to remember the 2000 election. If you’re one of them, I urge you to look it up. I heard the same song back then. Look back and tell me if they were right or wrong, if you really believe that Gore would have been the same as Bush.
Don’t let perfect be the enemy of good.
Thanks for the info. I have not really tested Seedvault myself so this is all good to know.
Ironically, one of the main reasons I switched to GrapheneOS was because Google’s backups were so frustrating and I was hoping Seedvault would be more comprehensive.