I would have liked for Linus to maintain his angry-man-finger-thrusting self against evil corporates like Nvidia. I suppose I’m asking for too much, but his mild-mannerisms towards developers is a welcome change. Towards such corporates though, not so much. I would have liked some more motivated cursing against Intel and Nvidia and IBM. Oh well.
Other than that (which is a minor gripe from me at the most), touching message from Linus. Indeed, the maintainers are graying, and the current generation isn’t that interested in kernel programming. I’m sure there will be talent around (as long as the big companies need Linux to run their servers, I’m sure someone will turn up), but someone to rise to the helm with a fiery approach to openness is very important to my heart. I don’t think we will ever see another Linus in our lifetime, and I will personally grieve the day Linus and his core set of maintainers pass away.
I am not a programmer, and the best I can do is provide some funding to people who can/would engage directly with the kernel. But if the situation becomes so dire, I too will get my hands dirty, if nothing but to help the cause. Long live FOSS!
Linus was himself a major contributor to making people steer well clear of wanting to work on the Linux kernel. I didn’t need that kind of abuse in my life.
So while he is identifying a problem, it’s a bit like a recovering arsonist homeowner bemoaning the scorch marks on his house.
As I said, his change in behaviour towards fellow developers is a welcome change. There’s no doubt about that.
I just wish he would continue to rage against companies up to no good, especially for FOSS. I never want him to get mild with Nvidia, and I want him to praise AMD a bit (they deserve it, and his opinion holds value).
Hell will freeze over before he accepts a pull request on GitHub or uses Issues for discussions. I believe his behaviour serves only to scare away contributors and embolden elitists.
There’s Lightworks, too, although it’s geared toward the editing process. I like it, though, and have been able to make it work for general video editing. The color correction tools are better than Kdenlive and not as good as DaVinci Resolve, but unlike Resolve, it will decode/encode H.264 and AAC. It’s powerful without being quite as overwhelming as Resolve can be for newbies. There’s no advanced setup involved unlike Resolve. The playback is responsive even with 4K footage. Kdenlive is great too, if you don’t need more advanced features or are working with a lot of 4K footage.
Looking ahead, Hohndel said, we must talk about "artificial intelligence large language models (LLM). I typically say artificial intelligence is autocorrect on steroids. Because all a large language model does is it predicts what’s the most likely next word that you’re going to use, and then it extrapolates from there, so not really very intelligent, but obviously, the impact that it has on our lives and the reality we live in is significant.
It’s not simple to come up with coherent statements on such a wide variety of tasks.
It’s not just stringing random words together like predictive text. It understands context in a way that is very complex.
It is more knowledgeable than the average person by a huge amount.
For example I asked it to write songs about squidmas, an imaginary holiday I made up to irritate my children. It was able to rewrite Christmas songs but with a squid theme. That’s way more complex than predictive text.
At least my definition of intelligence is thinking. Otherwise a simple pattern matching algorithm like a regexp is also intelligent, or a sorting algorithm that puts things in the right order.
But I agree it’s very efficient and has more data than any single person ever could. It’s a computer, they are great at storing and processing information.
I’ve heard the argument that we don’t really have a good definition of thinking or intelligence and if it can complete a task or do things…what does it matter if it’s “thinking” or not if the outcome is the same.
Bro the AI neural networks have been shown to be building internal world models to be able to do what they do. How is that not thinking?
I am so sick of this anthrocentrism, as if we are special because we are humans. The computers are now doing the same mathematical processes our brains are doing. The LLMs can be compared to a small subsection of our brains. String enough neural network based AIs together with different tasks and youll get sentience.
Sentience isnt required for “thinking” to happen, thinking is one of the building blocks for sentience.
While I mostly agree, I’d like to point out that GOFAI (good old fashioned AI) exists, and at its core it is basically just pathfinding like a* or something similar. And we still call that AI, because it “intelligently” finds a path quickly.
So my main point is that I agree that it isn’t magic or sapient or anything, but in a sense it is definitely intelligent.
I think the defenders of human intellect are heralding our language and thinking to be a much higher standard than for MOST people they are.
A chess champion might be executing critical thinking beyond normal comprehension but I’d say a lot of my interactions with others, my daily experience is just pattern matching the next thing to say or ask.
I think this type of anthropocentrism extends to chess too actually. I’m not an expert on the subject, but I’ve heard that chess AIs are finding success doing unintuitive things like pushing a and h file pawns in openings. If, 10 years ago, some chess grandmaster was doing the same thing and finding success, I imagine they would have been seen as creative, maybe even groundbreaking.
I think the average person under-rates the sophistication of AI. Maybe as a response to the AI hype. Maybe it’s because we’re scared of AI, and it’s comforting to believe that it’s operations are trivial. I see irrationality and anger cropping up in discussions of AI that I think stem from a fundamental fear of its transformative power.
Yes it’s going to transform everything. It’s about the same as the transformation from typewriter to computer for society. But I still don’t think any machine that predicts the next word is intelligent. However, this is only the beginning. We are not going to be able to keep up with AI soon, and it will work around the clock to get better and better.
We will have those high tech societies from the movies where robots are everywhere and people are quite sad.
You say that however we might have stumbled on the groundwork for a GI. Because language is core to our evolutionary advancement. We needed language to build the mental constructs that then enabled logical work.
Imagine if an LLM was able to coordinate the usage of these “logical” AI’s like Deep mind etc.
ChatGPT already enabled Internet search and it’s better than if I asked someone to Google something for me.
It’s that these models have leveraged so much data they’ve been able to map out relationships between words (or images) in way as to be able to generate what seem like new versions of those things.
I grant you that an LLM has more base level knowledge than any one human, but again this is thanks to terrifyingly large dataset and a design that means it can access this data reasonably reliably.
But it is still a prediction model. It just has more context, better design and (most importantly) data to make predictions at a level never before seen.
If you’ve ever had a chance to play with a model at level where you can control some of its basic parameters it offers a glimpse into just how much of a prediction machine it can be.
My favourite game for a while was to give midjourney a wildly vague prompt but crank the chaos up to 100 (literally the chaos flag at the highest level) to see what kind of wild connections exist but are being filtered out during “normal” use.
The same with the GPT-3.5 API in the “early days” - you could return multiple versions of the response and see the sausage being made to a very small degree.
It doesn’t take away from the sense of magic using these tools. It just helps frame what’s going on under the hood.
Canonical have had it in Ubuntu for years, but it’s taken them a while to get it to a point where it could be upstreamed. That’s what this news is: that Canonical’s patch is finally all clear to be merged.
Keep a minimum of 30GB free, for Windows update processes on the windows system partition. I don’t how much the windows installation counts in space, but add that to the 30gb free space. I would recommend to have a extra partition for the games on NTFS and move your steam, epic, ubisoft, whatever library to that partition.
I have tried to use the same gaming partition between Linux and Windows, but failed every time. In the worst case this can alter your Windows privileges. At least I had this issue.
Currently I’m using Windows only for 2 games: Space Engineers and Empyrion. The rest works with better performance on Linux. Satisfactory, Ark survival, Elder Scrolls Online have more FPS on Linux with the same settings. I have to use a nvidia 1050 Ti in my laptop. With a AMD GPU the situation is a lot better on Linux.
I’m not a hardcore gamer, mostly im coding here and there. But sometimes gaming is a must have.
I was going to put games on an external hard drive, at least for Windows side. Maybe I should also partition the external HD and have an ext4 formatted partition for when I decide to game on the Linux side?
Started dual booting Pop a few weeks ago, kept Windows for gaming for the same concern, but if you’ve got the major of your games in stream, Proton really is amazing. Had 0 issues with any game so far.
Check out Protondb and see if your current games are supported or not.
Once I’m 100% comfortable with Linux again I’ll probably bin of windows forever.
I already had a Windows install so letting Windows manage the bootloader seemed easier as I know it can cause issues if it thinks it’s not the OS as others have said.
All my games are off steam currently lol. I'm hearing the collective message of how feasible Linux is for gaming, tho
Keeping windows is also an "in case" measure because I'm ignorant with both OS, at this point: in case some use case comes up where having Windows is easiest to get something done. My goal is to keep to Linux as much as possible. Purely because I want to become familiar with it
Thanks. I tried both, and Shotcut was the one where I actually understood how to import, edit and export a video without consulting the manual, so I’m going with that.
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