Respectfully, did you read the article? They’re talking about NFC increasing the range from ~5mm to 30mm. It’s not about competing with Bluetooth use cases, it’s about an improvement in the user experience with contactless payments and door access, etc.
I believe that is correct.
Not quite the case.
When a user on instance B subscribes to a community on instance A, instance A begins to send in real-time the posts and comments of that community to B, which keeps a local copy of that community.
If instance B has 10 active users subscribed to that community on A, they’re all loading it from instance B. The end result is instance A only had to share each piece of content once with instance B, and instance B further shares it with the ten local subscribers, reducing the load on instance A.
The only exception is when instance B only has a single subscriber to instance A’s community, in which case replicating the entirely of the community is more work then that user just browsing it directly on instance A.
Tl;dr it’s most efficient for a large Lenny instance if most of its active users are on other instances.
I had this issue initially when my own instance, specifically with Lenny.ml.
In my case the issue was related to my subscription status. On the remote community does it show you as subscribed or subscription pending?
I showed subscription pending for a few hours, then I finally unsubscribed and subscribed again, and that time the subscription seemed to work correctly and commends started flowing to my instance.
If a large corp wants to do what you’re suggesting, they don’t need to launch a big announced project.
They can spin up a federated instance with just one user and no references to who owns it, then have patsy accounts on other instances subscribe to their instance and get all the data they want sent to their semi secret instance.
It would be very difficult to identify this in a large, healthy federation with tons of users and lots of small personal instances.
In the US, with slander and libel, there are two standards.
If someone is a public figure, they need to show actual damages in order to be successful, this is the scenario you’re describing.
If you are not a public figure, then you can sue for slander or libel without needing to show actual damages, just harm to your reputation or similar.
So the answer on that turns on whether Christian Selig is a public figure or not - I do not know the answer to that question.
Super cool approach. I wouldn’t have guessed it would be that effective if someone had explained it to me without the data.
I’m curious how easy it is to “defeat”. If you take an AI generated text that is successfully identified with high confidence and superficially edit it to include something an LLM wouldn’t usually generate (like a few spelling errors), is that enough to push the text out of high confidence?
I ask because I work in higher ed, and have been sitting on the sidelines watching the chaos. My understanding is that there’s probably no way to automate LLM detection to a high enough certainty for it to be used in an academic setting as cheat detection, the false positives are way too high.
Thank you for the answer.
Any suggestions on further reading?
Not sure then, sorry :/
Yeah. Did you down and up the docker and see if the issue is resolved?
Does your docker network setup have the lemmy server on an internal network with no external access? The default docker config is setup that way and caused what you’re describing for me. Fastest fix is comment out the “internal: true” from the docker compose file, but you may want to consider the security implications of that.
Mostly I am depending on reverse proxy yes.
Otherwise there’s not critical data on the box that could cause a problem for me if the server was owned and everything exfiltrated. Worst case if I had to completely wipe the box it would be annoying but not worse then that.
Interesting article, thank you for sharing.
I almost stopped reading at the octopus analogy because I think it’s pretty obviously flawed and I assumed the rest of the article might be, but it wasn’t.
A question I have. The subject of the article states as fact that the human mind is much more complex and functions differently then an LLM. My understanding is that we still do not have a great consensus on how our own brains operate - how we actually think. Is that out of date? I’m not suggesting we are all fundamentally “meat LLM’s”, to extremely simplify, but also I wasn’t aware we’ve disproven that either.
If anyone has some good reading on the above to point to I’d love to get links!
Raspberry Pi 4 running home assistant
Intel NUC running frigate and a minecraft server
Custom built PC (i3-10100, 16gb ram, GTX1070 for transcoding. 24tb array with two parity disk, 2x 3tb ssd’s in array for docker, os, etc) with quite a lot of storage running Unraid, which is my media server, backup server, and now my lemmy server.
Network is a mikrotik Hex S router and a netgear gigabit switch, with 1gb fiber internet. 2 Ubiquity AP’s for wifi in the house.
Good idea. I went and doublechecked my settings, and both for my profile and for the instance settings both undetermined and english are highlighted, so unfortunately that wasn’t it. Thank you though.
@[email protected] replied to me, but I cannot see it from my instance - which answers his question - I cannot see comments occurring after I subscribed, except my own.
I put the URL of your comment in the search field of my instance but it comes back with no results, if that’s a further clue? It seems my instance cannot load comments at all, except ones created by it.
I can’t reply directly to his comment unfortunately. I just applied for an account on another instance so I can reply directly to comments here. Thank you!
As well, EV’s lose very little of their energy to heat or other losses between the battery and wheels unlike ICE vehicles. The result is drag plays a more significant percentage of where the energy is “going”, so the impact of higher speeds on range is greater then it is for ICE vehicles.