I mean, if he survived on the isle all on his own for this long, maybe he is very strong at football

Thank you! I’ll try it out

Have you used Tempo? Is Tempus better in your opinion?

I might consider that… Although it only happened once, so we’ll see if something similar happens again :D

My washing machine ones created a giant extremelly heavy clump of sheets, started shaking like crazy and with the vibrations drove away from the wall which resulted in the dryer on top almost falling

Norway?

Let’s just get rid of the CEO part, and make the workers own and make decisions

One of them is just called Bigot?? Figures

Liar, that is clearly an eldritch monster

How many ways to measure this can there be???

14.6 liters, but let me get another glass

The Lemmy council approves

Ah, yeah, we don’t like Google here either.

Of course yeah, if I would be writing actual research I would be more concious of the terms used. I see you have a lot of experience and have been using LLMs a lot and searching for ways to use them conciously, and that’s kind of part of the reason I would like to study them (and Machine Learning in general) more deeply. You seem to have the practical experience, but I would also like to personally look into it with the academic view, and see how these arguments really stand and how to improve the actual uses, while pushing against the bogus uses and claims that many people and mostly companies keep telling us. There’s still many years until then, maybe I’ll choose a different path to push against companies and the bullshit we are dealing with today… But I think this field might be something I am genuinely interested, and if I may actually do some worthwhile change during it, it would be a nice bonus…

Woah! This kinda speaks to my soul :D Feel like this is a resource I was searching for for a while! Thank you

I wouldn’t say necessary that I want to specialise in this bubble, I mean master degrees specifically would be more broad than just “LLM” anyways, and I feel like with phd you have to choose some fairly specific field of research to study anyways… But maybe putting it better, I would like to go and research these Machine learning technologies in general, and while relevant focus on LLMs, but keep myself updated and educated on other topics too.

Deep understanding of LLMs requires you to deeply understand many Machine Learning techniques anyways, so even when the bubble bursts I feel like it would still be a valuable expertise to have.

But currently I am studying cybersecurity, so in the end I might decide to stay in this field, and as you say, write about this and it’s relevancies to the main field I would be in…

I am currently studying Cybersecurity as my bachelor, so my background is very technical… I think I would like to go the technical route, but also sprinkle in a bit of sociology, or maybe philosophy or something politics related… Maybe focusing on being sort of bridge in interdisciplinary research with deep knowledge of the technical aspects, while also focusing on more social aspects and collaborating on research with people that have deeper understanding of these issues. There is a master degree in Prague called prg.ai I believe, which kinda tries to teach about AI from many different povs, which could be interesting for me.

I think these days I just associate the term AI with LLMs or genAI in general, and I prefer “Machine learning” for the other models. I also believe, that for working with documents and data, we should look into other methods and ways instead of LLMs, since these models are usually extremelly “bloated” and just expensive and unsustainable to train and run. I might not have enough experience in the field “yet”, but I do believe there are other ways to go about it for the benefical tasks. And I won’t even talk about the data gathering methods that were used for these LLMs, which are not transparent at all, and mostly involve stolen work… That could be another topic worthy of research for sure.

Thank you! I’ll give it a read later :) I do like to see both sides of the coin, as it gives me the opportunity to think more critically about the technology. Of course, Lemmy is sort of this bubble that is just completely against LLMs, which has deeply impacted my views on it too, and also seeing how dependent and completely ignorant many peers in the software engineering/cybersecurity studies are on this technology has pushed me even further against this technology. This is the main reason I would like to further study it, since having deep technical understanding of it could give me the options to fight against it and shape it in a way that could genuinely benefit others, or at least give me a way to educate others about the real implications of LLMs. We’ll see what I’ll take away from reading this article :D

Slop doctor goes hard tho ngl