It is conceptually the same thing. […] The learning the part is not even close.
Well… isn’t the “learning part” precisely the point? I don’t think anybody is excited about brains as “just” a computational device, rather the primary function of a brain is … learning.
At some point it becomes so “simplified” it’s arguably just not the same thing, even conceptually.
So headscale?
Firefox
You mean you self-host your profile?
I… have had an NVIDIA 2080ti since they are sold (so… about 6 years?) and use it daily, gaming, using it for selfhosting AI a bit with CUDA and… just works, from gaming to tinkering. I don’t get those comments. Sorry you had such a bad experience, it’s not mine.
(insert here the “The TikTok at home” meme format) So actually I did my own with PeerTube (self hosted server side) and Latrix (mobile client to live stream) and you can see the result at https://video.benetou.fr/w/p/hfPcHz1kCgnM6zKhfPrS4b (playlist of 6 short videos with progress over time).
I’d argue it… works. Is it necessary or useful? Well I didn’t keep up with the format but it potentially can be. My point being… we already have quite a few tools in place.
I bet, but that’s just my intuition, that being a linguist and an academic, again just by the very practice of having to study the tool that is language and writing about it, makes it a very different situation compared to “most people” who have never written essays since high school and I possess only a very basic understanding of grammar, etymology, etc. I bet the very topic and context makes his situation not normal.
That does not mean he does not have cognitive capacities that most people might not have, but, again the practice itself most likely changed him, not solely “selected” him for the practice.
there’s just specialists, people who get lucky, people who work hard.
I believe the point is to dispel myths about geniuses. I don’t know about Elsburg but wouldn’t you say Chomsky is both a specialist (linguist and politics) while being working very hard? He is 95y/o and STILL working affiliated to institutions like MIT or University of Arizona, publishing, answering interviews, writing reviews, etc.
How I interpret it is that he is putting such amount efforts in such a concentrated fashion, probably even strategically, that it is “normal” that he is so good relatively to the vast majority of people. He did not became so knowledgeable by “just” being.
Eh… “Robin Li says increased accuracy is one of the largest improvements we’ve seen in Artificial Intelligence. “I think over the past 18 months, that problem has pretty much been solved—meaning when you talk to a chatbot, a frontier model-based chatbot, you can basically trust the answer,” the CEO added.”
That’s plain wrong. Even STOA black box chatbots give wrong answer to the simplest of questions sometimes. That’s precisely what NOT being able to trust mean.
How can one believe anything this person is saying?
Printing using PLA in the basement, with a filter, not being in the room until the print is actually done. I feel pretty safe.
Yes, I even play VR Windows games on Linux., the latest one released just weeks ago being Subside.
I’m using a Valve Index but with ALVR even standalone HMDs, e.g. (sadly from Meta) the cheap Quests line. You can find a lot more details on https://lvra.gitlab.io
Indeed but I very rarely, if ever need it except for some games. Usually there are FLOSS equivalent of most software. They are sometimes worst but often just as good and, obviously, they can be modified. So Wine and Proton are amazing but hopefully needed less and less.
For years… well pretty much since I had a PC, I had a Windows partition. Why? Well because I (sadly) paid for the damn thing (damn OEM deals). Plus, I admit, sometimes they were things that only ran on Windows.
For few years now though, everything, literally, from the latest tech gadget to playing games to VR, works on Linux.
Few weeks ago I deleted the Windows partition. I didn’t have to. I didn’t boot on it for months. It didn’t affect me.
Still, I now feel … safer, more relaxed, coherent.
When I see shit like that, I feel even better!
Search for “water positive” commitment. You will quickly see it’s a “goal” thus it is consequently NOT the case. In some places where water is abundant it might not be a problem, where it’s scarce then it’s literally a choice made between crops to feed people and… compute cycles.
I hope I won’t undermine your entirely justified trust but Altman is also a crypto guy, cf Worldcoin. /$
Super, thanks again for taking the time to do so.
I can’t remember if I shared this earlier but I’m jolting down notes on the topic in https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence so I do also invest time on the topic. Yet my results have also been… subpar so I’m asking as precisely as I can how others actually benefit from it. I’m tired of seeing posts with grand claims that, unlike you, only talk about the happy path in usage. Still, I’m digging not due to skepticism as much as trying to see what can actually be leveraged, not to say salvaged. So yes, genuine feedback like yours is quite precious.,
I do seem to hear from you and others that to kickstart what would be a blank project and get going it can help. Also that for whatever is very recurrent AND popular, like common structures, it can help.
My situation though is in prototyping where documentation is sparse, if even existent, and working examples are very rare. So far it’s been a bust quite often.
Out of curiosity, which AI tools specifically do you use and do you pay for them?
PS: you mention documentation is both cases, so I imagine it’s useful when it’s very structured and when the user can intuit most of how something works, closer to a clearly named API with arguments than explaining the architecture of the project.
Thanks for that, was quite interesting and I agree that completion too early (even… in general) can be distracting.
I did mean about AI though, how you manage to integrate it in your workflow to “automate the boring parts” as I’m curious which parts are “boring” for you and which tools you actual use, and how, to solve the problem. How in particular you are able to estimate if it can be automated with AI, how long it might take, how often you are correct about that bet, how you store and possibly share past attempts to automate, etc.
Mind explaining a bit your workflow at the moment?
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.
Sorry then if I sound like a broken record but again, doesn’t that mean that the analogy itself is flawed? If the goal remain the same but there is close to no explanatory power, even if we do get pragmatically useful result (i.e. it “works” in some useful cases) it’s basically “just” inspiration, which is nice but is basically branding more than anything else.