Have a lot of those metrics in place & keep the formula private. If leaking the formula into the public seems probable, then make formula polymorphic: certain weights differ based on RNG seeded by hashcode of game’s internal ID. This doesn’t fully protect from gaming the formula, but it makes automated influence unreliable and hits botters business. It’s a questionable approach, but I think it hits botters way more than it hits legitimate reviews, because in legitimate reviews there are zero expectations how certains reviews contribute to overall score. Such expectations can only exist, and thus can only be ruined for malicious actors. This definitely has some limits of how much it can contribute to overall score, because RNG shouldn’t be able to make a good game with legitimate reviews not reach good overall score. Unreliable means that botters were able to take 1000$ from client and bump their game, but then they take 1000$ from their next client and their shit suddenly doesn’t work anymore for unknown reasons and client is mad and botters decide to quit their business and move to something else.

Review weighting formula needs updates, if it’s not taking this into account already. There are many many ways to do this. For example, review and it’s score are multiplied by coefficients that are computed from hours spent in the game, percentage of achievements completed, time from the last review posted on the same account, number of people who clicked “this looks like a shopped review” button, etc.

Visa been doing similar things for a while.

Yeah, but we need something like Lustercard, Rizza and Pornpal here, since the problem isn’t on content company level.

I think a lot of abandonware is legal? Devices like this usually support few dozens old consoles, which you can’t even buy, and you can’t buy games for them. Stuff like commodore64, old nintendo, etc. And you upload stuff there via USB usually. So the problem I guess is to see where the line draws, because some of those ancient games are legal to pirate now while others are still illegal because their right holder is still in business even though they effectively are abandoned and impossible to buy.

“I asked ChatGPT” and my post got 180 replies 🔥

That capacity is something that no one could ever count on now when considering a platform for their porn game. Those particular games being shovelware is either a coincidence or maybe they intentionally decided to not show the full list in article with higher quality ones on display.

LM Studio looks cool, but I wonder, why their GUI app isn’t open-source? Also their site has careers section, where do they get money to operate like that? Couldn’t find anything about their monetization model.

Either poorly-federated instance, or you look in the wrong place? Here’s a good one: https://peertube.wtf/videos/browse?live=false

Also, lazier. I’m more likely to stick with information from the first 1-3 search results I decided to click, while AI will parse and summarize dozens in fraction of time I spend reading just one.

In this study they asked to replicate 1:1 headline publisher and date. So for example if AI rephrased headline as something synonymous it would be considered at least partially incorrect. Summarization doesn’t require accurate citation, so it needs a separate study.

I use it instead of search most of the time nowadays. Why? Because it does proceed to google it for me, parse search results, read the pages behind those links, summarize everything from there, present it to me in short condensed form and also provide the links where it got the info from. This feature been here for a while.

People came to Lemmy explicitily because Reddit bans you for disliking billionaires now.

It’s not that I like them or anything, but it’s very irrelevant to my motivations to use fediverse.

A bit offtopic, but why would anyone want to keep their instance in line with local laws? Aren’t internet sites operating under jurisdiction of where they are hosted? Or is it just some coincidence that those people decided to host their stuff at datacenters at their local proximity? When I’m choosing hosting the first thing I think about: “hmmm I shouldn’t host in country where I live because I don’t want to ever have any problem with local authorities, and if I host elsewhere authorities there won’t be able to reach me physically so the worst thing that could happen is the site gets shut down”.

I also asked ChatGPT itself, and it listed a number of approaches, and one that sounded good to me is to pin layers to GPUs, for example we have 500 GPUs: cards 1-100 have permanently loaded layers 1-30 of AI, cards 101-200 have permanently loaded layers 31-60 and so on, this way no need to frequently load huge matrices itself as they stay in GPUs permanently, just basically pipeline user prompt through appropriate sequence of GPUs.

So do they load all those matrices (totalling to 175b params in this case) to available GPUs for every token of every user?

That’s how llms work. When they say 175 billion parameters, it means at least that many calculations per token it generates

I don’t get it, how is it possible that so many people all over the world use this concurrently, doing all kinds of lengthy chats, problem solving, codegeneration, image generation and so on?

Should be “starting your own instance”, because otherwise you still have to conform to the rules of the instance you create your community/sub on.

It is what it feels like, but it’s not really 100% this way (yet). It is a bad self-reinforcing cognitive bias: we think “forums are dead, that’s why we stick to the sitename” instead of actually finding dozens of still alive forums and going there, in turn sitename gets more populated while forums feel more dead. But there are still plenty alive. Also, there are relatively new kinds of forums which sometimes work very well for their niche, like Discourse communities for example.