

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’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).
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.