FWIW, at this point, that study would be horribly outdated.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.

People frequently make demakes with pico-8

https://github.com/pixelbath/pico8demakes

Earthbound is eternally on my list of games i play through every couple of years. Its such a great game. Some aspects of it are a tad clunky by modern sensibilities (inventory management, going through the menus for a lot of things, etc.), but overall it holds up really well. Also if you liked earthbound, mother 3 is also 100% worth playing. Mother 1 (or beginnings, or whatever you wanna call it), is hard to recommend to anyone but the most diehard fans, though.

I like earthbound the most of all of em, but thats purely for nostalgia reasons. From a critical perspective, i think mother 3 is the superior game.

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.

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)

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.