FWIW, at this point, that study would be horribly outdated. It was done in 2022, which means it probably took place in early 2022 or 2021. The models used for coding have come a long way since then, the study would essentially have to be redone on current models to see if that’s still the case.

The people’s perceptions have probably not changed, but if the code is actually insecure would need to be reassessed

I guess that would just be a GPU?

Actually would either be a TPU (tensor processing unit) or NPU (neural processing unit). They’re purpose built chips for AI/ML stuff.

As an interviewer, I think that certs are only useful if you take the test with a different company than you studied with. So I don’t think I’d care if you have a coursera cert, because I’d assume it just meant you finished the course that you paid for.

It’s worth noting that some coursera courses are created and maintained by actually accredited institutions, and some courses qualify as college credit with ACE accreditation. Also, many tech certifications host their courses on coursera too, like microsoft has official azure cert courses on there.

That doesn’t necessarily mean anything for any given random cert, though, because that means that the entire site is a pretty big grab bag in terms of the usefulness of their certs.

Yeah, that was a thing too. I don’t remember the details of it though

Reddit tried a crypto thing. “Community points”. I believe they killed that program before even rolling it out too far.

https://web.archive.org/web/20230201233950/https://www.reddit.com/community-points/

I agree with the other poster; you should look into proxmox. I migrated from ESXi to proxmox 7-8 years ago or so, and honestly its been WAY better than ESXi. The migration process was pretty easy too, i was able to bring over the images from ESXi and load them directly into proxmox.

Running arr services on a proxmox cluster to download to a device on the same network. I don’t think there would be any problems but wanted to see what changes need to be done.

I’m essentially doing this with my set up. I have a box running proxmox and a separate networked nas device. There aren’t really any changes, per se, other than pointing the *arr installs at the correct mounts. One thing to make note of, i would make sure that your download, processing, and final locations are all within the same mount point, so that you can take advantage of atomic moves.

You’re talking about XMPP, and it was google with google chat that people refer to with it.

That said, there’s a lot of details that story people throw around about google killing it that lacks some details. Specifically that the premier service that used and developed the standard, jabber, was acquired by cisco like 8 years before google supposedly killed it, which i would argue affected it far harder than google chat did.

It’s also lacking a lot of modern features that were becoming staple around the time that it was killed; i.e. QoS, assured delivery, read receipts, and a few other things. I still don’t think the protocol supports them.

Also, the protocol still exists and is used. It’s used by microsoft in skype for business, it’s also the IM protocol for lots of gaming platforms like origin, playstation, the switch (for its push notifications for their online service), League of legends, fortnite, and others. It’s still a reasonably popular standard when it comes to chat programs, though none of them that i’m aware of use the actual federation piece of it to talk to each other.

While the tactic alluded to does exist (“embrace, extend, extinguish”), i’ve never been necessarily convinced that google “kiled” xmpp, as its been around a long time and continues to be for various reasons. Even with google chat, it was never a ‘front end’ thing many users even thought about, because it’s back end frameworks tech, and it continues to be so in lots of different places today. I’m reasonably sure that the people who get upset about it and proclaim google killed it are basically just upset that it didn’t become the defacto chat standard today, which i would argue almost nothing is the defacto standard anyways, unless you count discord which kinda came out of nowhere like a whirlwind and took over the chat space and has nothing to do with any XMPP drama.

Ultimately, its up to you (whoever is reading this) to look into the facts of the matter and decide for yourself if that’s what really happened, but keep in mind, the people who usually repeat the anecdote about how google killed it have an agenda to push. I’m personally skeptical, because there’s reasons for google to have dropped it (see mentioned limitations above), and even back then, it wasn’t that outrageously popular. In fact, i would argue its more widely used today than it was back then, but i have no hard numbers on that.

As of java 21, you can actually just use:

void main()

isnt that basically what government contracts are? subscriptions?

I have mediacom as well, but in a larger city of the midwest. They have datacaps here too, and i was paying about $100 for exactly this same plan up until a couple years ago. They started upgrading our speeds/caps because a new fiber company (metronet) is building in the area. Now i’m on 1 gbps down and a 4 TB cap. I still plan to switch to metronet when they finally light up my area, as its cheaper for the same speeds (plus no data caps)

All those moderators in r/openAI were appointed as mods 4 days ago; They locked and removed it because reddit already picked new mods for the community.

Even more frustrating when you realize, and feel free to correct me if I’m wrong, these new “AI” programs and LLMs aren’t really novel in terms of theoretical approach: the real revolution is the amount of computing power and data to throw at them.

This is 100% true. LLMs, neural networks, markov chains, gradient descent, etc. etc. on down the line is nothing particularly new. They’ve collectively been studied academically for 30+ years. It’s only recently that we’ve been able to throw huge amounts of data, computing capacity, and time to tweak said models to achieve results unthinkable 10-ish years ago.

There have been efficiencies, breakthroughs, tweaks, and changes over this time too, but that’s just to be expected. But largely its just sheer raw size/scale that’s just been achievable recently.

I’m not sure what you’re trying to say here; LLMs are absolutely under the umbrella of AI, they are 100% a form of AI. They are not AGI/STRONG AI, but they are absolutely a form of AI. There’s no “reframing” necessary.

No matter how you frame it, though, there’s always going to be a battle between the entities that want to use a large amount of data for profit (corporations) and the people who produce said content.