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.

What’s wrong with Seedvault?

I jumped on a lifetime deal they had a few years back. I mostly use it via the web UI and Android app, so I cannot comment on desktop or CLI client functionality.

The Android app is “okay”, but not great. Background photo sync doesn’t work consistently; I need to manually launch the app periodically to jog it. I know Android is kind of aggressive about background services, but other apps do this better so I think this is on Filen. Perhaps they should run a permanent notification to stay alive 24/7, like Syncthing does?

As with pretty much every other cloud storage app, it does not let me sync arbitrary folders/files, only photos and videos. *sigh*

It uses Android’s file provider API, so you can open and save files in most apps directly from/to Filen. However, this only seems to work for one-time use, not for apps that need to regularly open/save the same file. For example, when using Keepass2Android, you can have it store your password database on a cloud storage service. This works pretty well with Google Drive, but with Filen it loses the connection frequently because the pseudopaths the API returns are not stable over time (which makes sense, I guess, and is one more reason I want arbitrary local file sync instead). Personally, I went back to storing my Keepass database locally and then periodically backing it up rather than keeping it on live cloud storage.

It’s one of the cheapest E2EE cloud storage services I’ve seen (definitely the cheapest for me with the lifetime promo I got), and the core functionality of uploading and downloading files (and folders) works. That’s good enough for me to give it the thumbs-up.

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.

Same.

That was probably the intention. X-Files was at its height of popularity around this time (assuming 1997 by the Mac model and OS 8).

Additionally, you can set Android to use an ad-blocking DNS server without apps. In Settings > Network & Internet > DNS, select “Private DNS” and set the hostname to a custom server, like base.dns.mullvad.net (Mullvad’s DNS server is free to the public, does not require a VPN subscription).

The per-app controls sound neat! I might give that a try. Google killed the ability to restrict apps’ network access years ago, specifically so ads would always work. I’ve never tried a local VPN as a workaround.

It used to say “container-native”. They recently changed the wording, but there was no technical change.

It’s a Linux distro that runs locally, like any other. It has no particular tie-in with any cloud services. If Flatpak, Docker/Podman, Distrobox, Homebrew, etc. are “cloud” just because they involve downloading packages hosted on the internet, then I don’t know why you wouldn’t call “traditional” package managers like apt, dnf, zypper, etc. “cloud” as well. 🤷 So yeah, I feel your confusion.

The big difference compared to something like Debian or vanilla Fedora is that Bazzite is an “immutable” distro. What this means is that the OS image is monolithic and you don’t make changes directly to the system. Instead, you install apps and utilities via containers, or as a last resort you can apply a layer on top of the OS using rpm-ostree.

The only thing cloud-related about any of this is that atomic OS images and containers are more common in the server space than the desktop space.

Whisper is open source. GPT-2 was, too.

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.

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.

Is this legit? This is the first time I’ve heard of human neurons used for such a purpose. Kind of surprised that’s legal. Instinctively, I feel like a “human brain organoid” is close enough to a human that you cannot wave away the potential for consciousness so easily. At what point does something like this deserve human rights?

I notice that the paper is published in Frontiers, the same journal that let the notorious AI-generated giant-rat-testicles image get published. They are not highly regarded in general.