I tacked it onto your comment because I was chiming in with my agreement on your disagreement, if that makes sense.
The thing about the robotaxi thing is that it only really works as metro level infrastructure. Once you start trying to do that at a level where your vehicles can traverse whole states, the costs balloon like crazy.
Sorry, you’re absolutely correct, I should have added “… or a pair of thigh highs.”
Shameful oversight on my part.
Sketch? Nah bro, that is exactly the kind of “This looked sick in the early 2000s and we haven’t bothered updating it since” level of design that I want to see from a hardware vendor. That’s a company that’s just sitting there quietly trucking along, making nerdy devices for nerdy people. That’s a website that was never intended to be viewed by anyone other than a 30+ year old sysadmin who owns at least one beard grooming product.
Yeah, I contemplated this idea, but you’d need a network of dealerships all within no more than about 450km of each other. Actually, a lot less than that if you want to deliver something like a cybertruck this way. And Tesla just doesn’t have that kind of infrastructure, especially in the Midwest and South. And that means there’s no good way to get a car from Fremont or Austin to anywhere on the East Coast either. At best you could maybe make this work in California.
But also consider the scale of what you’re talking about. Generally you’re looking at selling thousands of cars per day for a successful production model. Can their dealerships handle charging thousands of cars per day?
This is such obvious BS. Putting aside that Tesla are always making claims about self driving that they can’t deliver on, let’s just consider the basic logistics of doing this for any customer who lives more than about 300km from a Tesla factory (of which there are two IIRC, and one of those is in Austin and the other is in Fremont)…
How the fuck is the car going to recharge?
It’s not like it’s going to plug itself in, and there are no staff at Tesla supercharger stations as far as I’m aware. With the range on a typical Model S even getting to LA might be tough if it gets stuck in traffic. Fremont to LA is just under 600km if you’re lucky.
this new gadget makes it easy to take Windows system events, and feed them into Copilot, looking for potentially malicious activity. And while it’s not perfect, it did manage to detect about 40% of the malicious tests that Windows Defender missed. It seems like LLMs are going to stick around, and this might be one of the places they actually make sense.
Yes, the pattern recognition engine is good at pattern recognition.
In all seriousness, it really would be great if we’d focused development of transformer models on stuff like this instead of everyone getting caught up in the fact that they can kinda sorta pass the Turing test and deciding that the singularity had arrived and they could be the ones to sell tickets to it.
Nvidia Shield. The regular version is $150 US and from what I understand it gives flawless playback. I have the pro version which is more powerful, but that’s specifically for running games.
It’s Android TV OS, so app selection is great. You can load Smart Tube Next on there to get YouTube without ads, and there’s a very solid Jellyfin app. You can also use Kodi for local direct playback. Remote is perfectly functional, and you can use an app to rebind most of the keys.
Not even remotely. LLMs have failed to find any viable market fit.
The problem continues to be hallucinations and limited utility. This is compounded by the fact that LLMs are very expensive to run. The latter problem wouldn’t really be a problem if LLMs were truly capable of replacing a human employee, but they’re not. They’re just too unreliable for any serious enterprise grade application, and they’re too expensive for any low severity application.
For example, as a coding assistant, a lot of people quite like them. But as a replacement for a human coder, they’re a disaster. That means you still have to employ the expensive human, and you also have to pay an exorbitant monthly fee for what amounts to a very cool search engine.
There are tonnes of frivolous applications where they work really well. The AI girlfriend stuff, for example. A chatbot that sexts you is a very sellable product, regardless of how icky it might seem to some people. But no one is going to pay over $200 / month for it (as an example, ChatGPT still doesn’t make a profit at their $200/month tier).
LLMs are too unreliable to make anything better than toys, but too expensive to sell as toys.
We’re in selfhosted. If you have to bring up use cases that are in no way relevant to 99% of self hosters to justify your argument, you don’t have an argument.
A lot of things are “fine”, but the cost of adding Netbird to your VPS is effectively zero, whether counted in dollars, time, or convenience.
Given the massive security benefits of using a VPN, and the lack of any meaningful downside to doing so, you’d be an idiot not to.
And mine. Clearly one of us is better at it.
You seem like a fan of the “pull out” method.
This is the correct answer. Never expose your SSH port on the public web, always use a VPN. Tailscale, Netmaker or Netbird make it piss easy to connect to your VPS securely, and because they all use NAT traversal you don’t have to open any ports in your firewall.
Combine this with configuring UFW on the server (in addition to the firewall from the VPS provider - layered defence is king) and Fail2Ban. SSH keys are also a good idea. And of course disable root SSH just in case.
With a multi-layered defence like this you will be functionally impervious to brute force attacks. And while each layer of protection may have an undiscovered exploit, it will be unlikely that there are exploits to bypass every layer simultaneously (Note for the pendants; I said “unlikely”, not “impossible”. No defence is perfect).
It really doesn’t. You’re just describing the “fancy” part of “fancy autocomplete.” No one was ever really suggesting that they only predict the next word. If that was the case they would just be autocomplete, nothing fancy about it.
What’s being conveyed by “fancy autocomplete” is that these models ultimately operate by combining the most statistically likely elements of their dataset, with some application of random noise. More noise creates more “creative” (meaning more random, less probable) outputs. They do not actually “think” as we understand thought. This can clearly be seen in the examples given in the article, especially to do with math. The model is throwing together elements that are statistically proximate to the prompt. It’s not actually applying a structured, logical method the way humans can be taught to.
I’m not sure what would make you think the “customers” for an enormous DNA database were the people providing the DNA.
Those people were just paying to be the product.
So yes, I did, and yes, their docs suck (better documentation is on their roadmap).
There’s a really good guide here on Lemmy that I recommend instead. https://lemmy.ml/post/25006407
Following this I had it up and running in no time. Check the comments as well, I added some notes on getting attachments working. If you’re still having issues shoot me a message and I’ll try to help.
If you can, take a moment to upvote Drawing Support in their suggested features section; https://notesnook.com/roadmap/
I did find that with a very large OneNote account the importer struggled, specifically because OneNote was timing out and rejecting the requests after a while.
My solution was to backup (in onenote) and then delete the notebooks that had been moved already and then run the importer again.
Not even once. The syncing has been incredibly robust for me. It also has a really nice flow for handling conflicts.
Of course, it’s worth keeping in mind that it can new self-hosted, so experiences will vary.
I’m using the self hosted version. Take from that what you will.
I’ve been running Seafile for over ten years. They released version 12.0 just last month. I’m really not sure why people have this impression that it’s not maintained.
Seafile updates slowly because it’s very much intended as an enterprise product. It has minimal bells and whistles, but the core functionality is reliable and works well. It’s more of a BlackBerry than an iPhone.
In the side by side tests I’ve seen it syncs a lot faster than Nextcloud. I keep my entire documents, downloads and picture folders synced there across three different machines, nearly 300GB of data in total, and I can wipe my laptop and sync all my files back in under and hour. File transfers basically cap out at network speed, even with large numbers of small files. I’ve used the desktop client, the drive client and the mobile client and never had any complaints with any of them.
Sidenote, if you create an account on their site they’ll give you a pro license for up to three users, free forever.
The documentation is a bit of a beast, but worth reading thoroughly. Setup is a little fiddly compared to Nextcloud (that’s a major turn off for a lot of people, understandably so). If you have questions message me and I’ll try to help. If you go with the free pro license, be sure to enable offline garbage collection, it’ll help keep your storage use under control.
Anyway, I really like it, works well for me. Definitely worth trying out.