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?

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.

https://www.asktog.com/Bughouse/10MostWantedDesignBugs.html

I’m not sure what the exact model is, but it’s probably from the Performa or Power Mac 5000 or 6000 series. It’s low-res so it’s hard to read, but the text next to the floppy drive says “PowerPC”, referring to the CPU family used in Macs in that era.

The screen looks like Mac OS 8. It’s so low-rest that it’s kind of hard to tell, but the menu bar at the top of the screen is clearly from Mac OS. Could be 7.5, but I’m guessing 8 since that’s what’s shown in the web browser.

I think the left screen is showing Windows. Again, super low-res, but those look like Windows 95/98’s blue window title bars and gray task bar at the bottom.

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).

It’s insane that this is even legal.

I’ve never actually tried it, but I think you could use BTRFS subvolumes to multiboot without partitioning the physical space.

And then maybe even use deduplication across subvolumes?

Related feature on my wish list: I’d love a way to basically fork a feed based on regex pattern matching. This would be useful for some premium feeds that lump multiple podcasts together. For example, one of my Patreon feeds includes three shows: the ad-free main feed, the first-tier weekly premium feed, and the second-tier monthly premium feed.

I don’t want to filter them out because I DO want to listen to all of them, but for organizational purposes I don’t want them lumped together. I’d prefer to display these as two or three separate podcasts in my display.

Another example is the Maximum Fun premium BoCo feed. They include the bonus content for ALL their shows (which is…a lot) in a single feed. I only listen to about half a dozen, and even that is a bit of a mess in one feed!

BTRFS can work across multiple disks much like ZFS. It supports RAID 0/1/10 but I can’t tell you about performance relative to ZFS.

Just be sure you do NOT use BTRFS’s RAID5/6. It’s notoriously buggy and even the official docs warn that it is only for testing/development purposes. See https://btrfs.readthedocs.io/en/latest/btrfs-man5.html#raid56-status-and-recommended-practices

Edit: Another interesting thing to note between the two file systems is deduplication. ZFS supports automatic deduplication (although it requires a lot of memory). BTRFS supports deduplication but does not have built-in automatic dedup. You can use external tools to perform either file-level or block-level deduplication on BTRFS volumes: https://btrfs.readthedocs.io/en/latest/Deduplication.html

Good advice!

This is also available with BTRFS. Personally I am leveraging this feature via Snapper, simply because it was the default on OpenSuse and was good enough that I never bothered looking into alternatives. I’ve heard good things about Timeshift, too.

This has saved my butt a couple times. I’ll never go back to a filesystem that doesn’t support snapshots.

I really liked ZFS when I used it many years ago, but eventually I decided to move to BTRFS since it has built-in kernel support. I miss RAIDZ, though. :(

If you got a problem, reinstall and do the same stuff again, you’ll almost certainly get the same problem again

Sure, but nobody’s likely to do that. If I wiped my system now, I doubt I could get it back to exactly the same state if I tried. There are way too many moving parts. There are changes I’ve forgotten I ever applied, or only applied accidentally. And there are things I’d do differently if I had the chance to start over (like installing something via a different one of the half-dozen-or-so methods of installing packages on my distro).

For example, I have Docker installed because I once thought a problem I had might have been Podman-specific. Turned out it was not. But I never did the surgery necessary to fully excise Docker. I probably won’t bother unless and until there is a practical reason to.

Great points, thanks.

Can you clarify what you mean by “local decryption”? I thought Proton and Tuta work pretty much the same way, but perhaps there’s a distinction I’m missing.

One thing I like about Tuta is that it has the option to cache your messages in localstorage in your browser so you can do full-text search. FWIW, I think Proton added a similar feature recently, though I have not tried it. I imagine neither would work very well with large mailboxes; probably better to configure a real email client.

Do they offer cloud storage now? From what I can see on their web site, it’s 500GB…just for email. I mean sure, that’s cool, but it would take me several lifetimes to accumulate 500GB of email so it’s not much of a selling point to me.

It’s a good email service, anyway. I’ve been using the free tier for a few years. Similar to Proton, and in theory Tuta is more private because they encrypt the headers as well as the message body.

Also worth mentioning: you might still need to add the “most recent visit” column under the View menu. And if you dare to actually load any of those pages, they’ll move all the way to the top, and will not remain in their original location. It’s really annoying.

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.

btrfs’s RAID features are not production-ready, and at this point I doubt they ever will be. See:

https://en.wikipedia.org/wiki/Btrfs#Implemented_but_not_recommended_for_production_use

https://wiki.archlinux.org/title/Btrfs

https://www.phoronix.com/news/Btrfs-Warning-RAID5-RAID6

ZFS is definitely more robust.

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.

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.