You’re right, it’s not “just” Proton. I also tried recently GoG for Pod and… it just worked! From buying the (sigh) Windows game to playing on Linux in literally minutes. Amazing.

For WMR I don’t know unfortunately. Monado does work though and I would check https://lvra.gitlab.io as it’s a great starting point, maybe starting with the Monado SteamVR plugin.

to steam deck.

to SteamOS

So… FWIW I post often about I have a painless NVIDIA experience, including playing Windows only games, including VR games.

I thought “Damn… how did I get so lucky?” and yesterday while tinkering with partitions (as one does…) I decided I’d try a “speed run” to go from no system to a VR Windows only game running on Linux.

I started from Debian 12 600Mb ISO and ~1h later I was playing.

I’m not saying everybody should have a perfect experience playing games on Linux with an NVIDIA but … mine was again pretty straightforward.

I’d argue it’s easier with Ubuntu and accepting non-free repository, probably having the same result, ~1hr from 0 to play, without even using the command line once.

I don’t think I understand your point, are you saying there is no benefit in running locally and that Websites or APIs are more convenient?

FWIW I did try a lot (LLMs, code, generative AI for images, 3D models) in a lot of ways (CLI, Web based, chat bot) both locally and using APIs.

I don’t use any on a daily basis. I find it exciting that we can theoretically do a lot “more” automatically but… so far the results have not been worth the efforts. Sadly some of the best use cases are exactly what you highlighted, i.e low effort engagement for spam. Overall I find that either working with a professional (script writer, 3D modeler, dev, designer, etc) is a lot more rewarding but also more efficient which itself makes it cheaper.

For use cases where customization helps while quality does matter much due to scale, i.e spam, then LLMs and related tools are amazing.

PS: I’d love to hear the opinion of a spammer actually, maybe they also think it’s not that efficient either.

I like Ollama, and recommend it to tinker, but I admit this “LLM Explorer” is quite neat thanks to sections like “LLMs Fit 16GB VRAM”

Ollama just works but it doesn’t help to pick which model best fits your needs.

Yes I’m talking about DeArrow. Well yes but to be more precise they initially “block” the addon from working for few hours then they let you use it without paying. Slightly different, again I’m not criticizing just highlighting this is not how most add-ons do work.

Interesting that this extension is pay only, first time I see this. Again makes sense to go against a business model of “free” of cost but too expensive for sanity.

I find YouTube itself to be so adversarial that I don’t even use it anymore.

Still, I’m installing both this and SponsorBlock to symbolically show support to this of projects that IMHO show that I want the Web MY way. I don’t want to browse in whatever way maximizes attention and distraction to increase profit margin of surveillance capitalism.

See also suggestion on hardware and commercialization https://lemmy.world/comment/12248508

no business in the capitalist world where selling ads is a billion dollar industry is going to make this available

How about an open-hardware open-source project on e.g CrowdSupply (something like https://www.crowdsupply.com/jie-zou/rggber but dedicated) where everything is setup to do so efficiently, e.g an HDMI/HDMI box where you put the signal in, get the signal out, and on its own does nothing but cool looking visual filters, e.g from color to black&white, yet when the user reconfigure it, with community made filter, it removes ads?

annotate them by adding the time stamps then the location on the image

Depending on your legislation it might be legally mandatory to disclose, so if one can have an automated way to know this, it would simplify greatly the problem.

I agree but I don’t watch TV so I don’t bother. Yet… I still hate product placement so I might be interested in such a solution. Anyway here is how I would do it :

• evaluate what exists, e.g SponsorBlock, and see what’s the closest that fit my need, try it, ask in forum or repository issues if modifications are possible
• gather videos of the typically problematic content, say few hours to start
• annotate them by adding the time stamps then the location on the image
• replace problematic content with gradually complex solutions, e.g black, average color of the area, denoising (quite compute intensive)
• honestly evaluate the result
• consider the biggest problem, e.g here on first pass fixed content so a detector based on machine learning for the type of content could help
• iterate, sharing my result back with the closest interested community

Honestly it’s a worthwhile endeavor but be mindful it’s an arm race. There are a LOT of smart people paid to add ads everywhere… but there are even more people, like you and I, eager to remove them. IMHO the key trick is, like SponsorBlock, to federate the efforts.

Can’t help but wonder what has been the impact of the support, e.g through subsidies, for automaker industry both nationally and internationally.

We keep on hearing that it’s a huge industry, that it “creates” lots of jobs, that people buy cars from their own country as a form or pride, etc. I bet some of it is true but I also bet the negative impact is not communicated as clearly. Any research on the topic? I imagine it might highlight precisely how the EV transition (which in itself is also problematic due to car usage, battery recycling, etc) has been radically slow down, maybe also public transport usage, CO2 emission, etc. Anyway I’d love to read a paper on the topic.

I have personally learned so much from LLMs

No offense but that’s what the article is also highlighting, naming that students, even the good, believe they did learn. Once it’s time to pass a test designed to evaluate if they actually did, it’s not that positive.

Yes yet there is indeed a deeper point. If the AI is to be used as a teaching tool it still has to give genuinely useful advice. No good sounding advice that might actually still be wrong. LLMs can feed wrong final answers but they can also make poor suggestions on the process itself too. So there are both problematic, how the tool is used but also its intrinsic limitations.

So… they are a non-profit (as they initially were) or a public research lab then. That would perfectly fine to say the path that they chose and so happen to make them unbelievably rich, is not viable.

They don’t have a business if they can’t legally make profit, it’s not that hard. I’m sure people who are pursing superhuman intelligence can figure out that much, if not they can ask their “AI” some help to understand.

What a joke.

I have 5 Pine64 devices and they absolutely are more tinkerers. That being said I do use 2 on a daily basis (PineTab2 and PineWatch, even though now moved to Watchy) so they can be reliable. The PineNote though is bulky compared to the reMarkable (I have 1 and 2). I also (sadly for now) didn’t bother with Linux (yet) on the PineNote and only used the stock Android that it came with. It works quite well though and one can still tinker with it.

So… yes if it’s “just” to use I’d suggest reMarkable and if it’s to tinker and not travel much, PineNote.

reMarkable or PineNote then?

there isn’t a single serious project written exclusively or mostly by an LLM? There isn’t a single library or remotely original application

IMHO “original” here is the key. Finding yet another clone of a Web framework ported from one language to another in order to push online a basic CMS slightly faster, I can imagine this. In fact I even bet that LLM, because they manipulate words in languages and that code can be safely (even thought not cheaply) tested within containers, could be an interesting solution for that.

… but that is NOT really creating value for anyone, unless that person is technically very savvy and thus able to leverage why a framework in a language over another creates new opportunities (say safety, performances, etc). So… for somebody who is not that savvy, “just” relying on the numerous existing already existing open-source providing exactly the value they expect, there is no incentive to re-invent.

For anything that is genuinely original, i.e something that is not a port to another architecture, a translation to another language, a slight optimization, but rather something that need just a bit of reasoning and evaluating against the value created, I’m very skeptical, even less so while pouring less resources EVEN with a radical drop in costs.