I highly recommend trying CapyReader for mobile, it is much snappier!
I highly recommend trying CapyReader for mobile, it is much snappier!
Yes it is!
Although I can’t migrate from CORE and have the service migrated seamlessly unless I use VMs.
And I don’t know docker containers, so it is something else I’d have to learn and understand. If I have to choose, I’d probably learn LXN/Incus instead.
I’ve been slowly, but steadily, migrating the services I run on my TrueNAS CORE (FreeBSD) from Jails to Debian VMs so I can migrate to TrueNAS 25 (no more SCALE it seems, and Linux) around April without many hurdles, hopefully.
Besides having to learn some systemd, it has been a smooth ride.
Now I’m down to the last 2 services, which I think are the most complicated setups I have and with no nice deb packages to ease installation: Paperless-ngx and Photoprism.
I’ll probably look into playing with Containers (LXC/Incus) to have the same lightweight and efficiency as Jails once the migration to Linux is done. But honestly, if everything is running nicely, I won’t be very motivated to do so, let’s see.
Blame Altman on that one, from the article:
Altman once called OpenAI’s partnership with Microsoft “the best bromance in tech,”
I wouldn’t doubt that LLMs got some special input to deal with the specific examples of this paper, or similar enough.
Probably good to add a /s somewhere here.
I suspect people are down voting without checking the piece.
I know I would, but I saw it shared on Mastodon in a cheeky way first.
Made me think this was the good news community.
I had it initially setup to run on Wi-Fi too, battery or charging.
Then I had my battery drain to 30-40% during afternoons, when I’m used to reaching evenings above 60%. Check app usage on settings: Syncthing.
Since I use it mostly for backing up photos, I found it better to enable it only when charging.
Just configure it to only run while plugged to the wall, so you’re not surprised by the rare bug of it randomly turning your phone into a pocket warmer.
That is great news!
Now I might be able to uninstall Google Drive from my phone.
People, shall we read the full article first?
Meanwhile, this is not the case with the Ryzen 9000 series desktop parts as the spec sheet of that says:
OS Support
Windows 11 - 64-Bit Edition , Windows 10 - 64-Bit Edition , RHEL x86 64-Bit , Ubuntu x86 64-Bit
So the new Ryzen AI chips that most people don’t care about won’t support Win 10, but Ryzen 9000 (the real deal desktop chips) will.
To be frank, the article title is misleading at best.
Same for the teenager part.
The Podcast (Dialogues instead of Monologues) is content for the older audience, though: https://youtube.com/playlist?list=PLet00UQnlQoUKqSB5-oFmrwpnnVc4C4A8
L. O. L.
Seriously though, reasonable discussion of its usefulness aside, how can’t people see that outrageous statements like that without any scientific or practical backing, clearly made to inspire devotion and/or fear, keeping the hype and the money and resources drain on, are the telltale of a tech hype?
We are discontinuing Workplace from Meta so we can focus on building AI and metaverse technologies that we believe will fundamentally reshape the way we work,
Lol, can’t make this shit up!
It this actually true? For real?!
Can’t wait to go back from my parental leave and not be the last one to hear about important announcements because they were posted on FB. F that.
Everything runs locally, OCR, ML, etc, which can be a bit taxing on lower end hardware, but there are ways to disable the more advanced and computationally expensive features, like NLTK for advanced Natural Language processing.
Your data is stored locally on your server and is never transmitted or shared in any way.
There seems to be a huge overlap in functionality. But a major difference is that Paperwork is a local application that runs on Windows and Linux, while Paperless has a web front end that makes it accessible anywhere (it also has some independently native apps for mobile).
Paperless-ngx that allows you to self host an easily browseable archive of your documents. Fully featured with OCR, ML-powered categorization and the works.
Glad to hear!
And the developer is quite responsive, open up a GitHub issue with the details and I’m confident it’ll get sorted out.
He’s also on Mastodon: https://mastodon.social/@_jocmp