Yeah it was very easy actually. Though fair warning to people who are sensitive to flashing lights: after logging in with DigiD (Netherlands) my screen went full strobe mode. Looked like multiple pages loading in quick succession with different background colours before finally landing on the success screen.
I’m okay with any delays as long as it doesn’t release in a totally fucked state. I have huge respect for the Devs, dealing with the Ukraine invasion and also building a game
From the train dataset that was frozen many years ago. It’s like you know something instead of looking it up. It doesn’t provide sources, it just makes shit up based on what was in the (old) dataset. That’s totally different than looking up the information based on what you know and then using the new information to create an informed answer backed up by sources
No. ChatGPT pulls information out of its ass and how I read it SearchGPT actually links to sources (while also summarizing it and pulling information out of it’s ass, presumably). ChatGPT “knows” things and SearchGPT should actually look stuff up and present it to you.
Oh I never knew, but it seems true. On his Wikipedia page both researches are mentioned. It’s so impressive how these researchers are behind so many different but interesting papers.
Machine learning and compression have always been closely tied together. It’s trying to learn the “rules” that describe the data rather than memorizing all the data.
I remember implementing a paper older than me in our “Information Theory” course at university that treated the creation of a decision tree as compression. Their algorithm considered sending the decisions tree and all the exceptions to the decision tree and the tree itself. If a node in the tree increased the overall message size, it would simply be pruned. This way they ensured that you wouldn’t make conclusions while having very little data and would only add the big patterns in the data.
Fundamentally it is just compression, it’s just a way better method of compression than all the models that we had before.
EDIT: The paper I’m talking about is “Inferring decision trees using the minimum description length principle” - L. Ross Quinlan & Ronald L. Rivest
Awesome! Numpy has been such a useful tool during my data science study. Happy to see that they’re not afraid to make some bigger changes.
I might misunderstand what you mean with “implementing” an LLM, but unless you have a good understanding of deep learning and math I wouldn’t recommend to implement one from scratch. There’s a lot of complex math involved in these kind of topics. If you mean implementing an application around an existing LLM, for example writing a chat website that interfaces with ChatGPT or a local LLM, then it’s doable (depending on you current skills).
I bought a ThinkPad new in 2014 for my study for like 1200 euro’s. She’s still happily purring today. Around 2019 I made the mistake of emptying a cup of tea into the ThinkPad accidentally and then holding it upside down to get the water out. I think I should’ve just let it leak out of the bottom since the laptop has holes for that, but I panicked. This broke the keyboard, but not the rest of the laptop. I got an official new keyboard for like 100 euro’s which came with a tool and the simple instructions, and since then everything has been working flawlessly.
So I recommend ThinkPads, although I can’t really say anything about compatibility of new models
Sounds cool. The types like Haskell’s data types or Rust’s enums compared with proper pattern matching are pretty much a requirement for a good language imo. And the process/message passing is interesting.
Because sometimes people get violent with guns/fireworks and it’s quite useful to have some protection?
My first experience with the Sims was jumping behind a random computer at some kind of event that was running the Sims 1. Most of the family had just died because the previous person behind the PC had let the house burn down. Needless to say, I was a bit confused. I’ve played the Sims quite a bit after that, and I honestly like messing around with it.
I don’t think I’ve ever played a game without cheating a lot of money. I don’t like that the Sims that I made have to go off to work or school, so usually I just build a big fence around the property to keep them all there. From there on it used to devolve into chaos when I was younger. Building huge mazes to access basic necessities, launching fireworks indoors, etc. Nowadays im a bit more behaved though.
Imo the Sims 4 is the best nowadays. The older ones are showing their age. That being said, the Sims 4 is definitely in need of some competition. It’s inexcusably buggy sometimes, and I personally think there’s a lot more that can be done with a game like this. Hopefully the upcoming competitors can spark some fire into this genre.
I got randomly recommend “Kena: Bridge of Spirits” recently by Steam and decided to go for it. I just finished the story and it was definitely a good recommendation. Hard enough to make me work for it, which I always like. It is kinda short though, finished it in like 12 hours. It’s a bit janky at times with the camera and jumping, but overall a great experience.
I wouldn’t be so sure if I were you. Everyone, and I mean everyone, uses WhatsApp here. Friends, family, work, doctors, landlords, etc. Not using WhatsApp will make you miss get togethers with friends, make it way harder to communicate with colleagues, take away a lot of convenience when talking to your doctor or landlord or something.
I have Signal groups with friends, but you’re never going to be able to fully lose WhatsApp here unless you’re prepared to be “that person” everywhere and miss a lot of convenience.
Microsoft does a lot of bad things, but I got to give it to them here. Their push for accessibility in gaming is definitely a good thing. They’ve been pushing multiple modular controllers in order to allow people with disabilities to play games in a comfortable way. Having the support of a major player in the gaming market like Microsoft will definitely help with support for these products.
You call it “quick to judge and superficial”, but imo that’s the wrong attitude. Every tool we use as humans should be designed to be as intuitive as possible. It makes it easiest for people to learn how to use a new tool. That doesn’t mean that a tool cannot be complex or customizable, but the default experience should make it easy for new users to quickly achieve something. Once they grow accustomed to the tool they can tailor it their own way.
No tool has to do this, but if it wants to be widely used then this is kinda necessary.
There’s a reason why there are whole fields of study into human media interaction, and why software companies hire UI designers. Everything that doesn’t have to be explained in words and text because it is intuitive saves mental overhead for the user and makes the application more accessible.
I recently tried to get Wayland working. Followed a simple guide to enable some NVIDIA boot parameter. Somehow it fucked my complete grub and I couldn’t boot until I messed around a fair bit with live usbs. Cost me a whole evening.
So I guess what Wayland is missing is normal support from the GPU manufacturers.
Yeah I don’t really feel the difference either. Intriguing. Whether I’m wet from the shower or from sweat, it feels about the same to me. It’s only after it’s drying that there’s an obvious difference to me