BG2 came out in 2000. It didn't exactly have a huge sales happening in 2023 either. It was largely considered as a shelved IP. Yet BG3 came out with massive success. My point is that you have no point. DA was (I would say "is" if veilguard wasn't such a horrible piece of shit) a strong IP with or without inquisitions long tail given from past sales alone. No one ever goes and says their best selling product ever is a weak IP. It's completely bollocks that you're framing it as a weakening IP. Clearly BioWare thought it was strong too since they've spent huge amount of budget into veilguard. You're presuming you know more than their huge investment and sales projection team about Inquisition sales.
Besides, how would you even know if Inquisition had a long tail or not? You have no figures, this game was released exclusively on ea platform at first and continued to be for a long time until it was finally released on steam. I know, because I remember begrudgingly buying it on ea origin. Steam's public data in this is hardly a meaningful pie. My 12m Inquisition data on sales was their Sept 2024 release info. Which I assume BioWare released to imply a long tail and and continued popularity to get more sales into veilguard. But let's not assume.
Btw, I didn't say you said it didn't have a lot of sales either.
I bought both cyberpunk and BG3 in gog instead of steam. I would guess cyberpunk sells more through gog than BG3 would since it's their own platform. Would be interesting if gog stats could be seen as well, but since it's DRM free, tracking stats on some people are outright impossible.
I don't use porkbun so I can't guide you in detail. But look for "glue records". Some will just call this nameservers, ns record, or some other confusing and ambiguous lingo (like GoDaddy....). Glue records are separate from rest of the auth DNS servers. Even though you are essentially doing an A record.
So if you have example.com on porkbun, and auth nameservers for this same domain is going to be elsewhere, you can set glue records. Like..
Veilguard is a massive flop. It sold a lot compared to other games, sure, but based on the amount of money they spent and time in development, that was a shit investment. They were expecting like 10m sales, doing 1.5 instead according to whistleblowers.
NA mostly uses ESRB while most of Europe uses PEGI as their rating board. They're different organizations so they can have different criterias for rating as well as different inspectors actually doing the rating.
Because they're already a major shareholder of Ubisoft. And they're the only one willing to fork over cash for this failing company since they have a lot to lose if they let it continue its course.
Never heard of yunohost, but... definitely not worth managing your own email server. That shit is essentially a full time job. And it's forever ongoing full time job, with 24/365 on call type job if emails are mission critical. Doesn't matter how much other hosts are charging, it's worth using third party email service.
It's not and such content should be banned from memes. But Lemmy has nearly no moderation on validity of content. Tbh, I like Reddit a lot better in many ways except for the asshole admins. It has problems, but still lot better controlled than here.
I've already addressed this same argument to the other commenter in length. But if what you say is true, which it is not, then python is not inefficient since it's already equivalent to C. Thus OP point of something being inefficient because it was made in python is wrong.
Nearly every languages' every core packages are written in C. And almost every higher packages have some amount of C. That doesn't mean we get to say every program is done in C. And if you keep drilling down, everything is just machine lang. And certainly still disproves the OPs point of inefficient python.
Saying it's all done in C hardly even true. Just look at xformers library on GitHub. Only 2.7% of the code is C. And the entire library is about optimizing.
Additionally, vast majority of the great leaps in ML efficiency changes hasn't come from better programmed packages, though they too certainly made big strides. How we calculate itself has changed. That's what makes the greatest optimizations in anything. It doesn't matter what language it is, doing a loop 1000000 times to add 1 is going to be worse performance than just doing 1 multiplied by 1000000. How we calculate, what we choose to give up (such as determinism in some implementations if SDP attention changes) and such makes big differences.
Optimizations also has to be done by someone. Whether that be data scientists or otherwise. The ability for higher level languages to enable them to do so like you say also makes a big difference. If all the programmers had to optimize in C only, we'd still be way behind where we are now in performance.
Just swapping languages doesn't yield better results like OP is implying.
What makes you think python is in optimized and bloated?
Did you know vast majority of AI development happening right now is on python? The thing that literally consumes billions of dollars of even-beefier-than-4090 GPUs like A100. Don't you think if they could do this more efficiently and better on C or assembly, they would do it? They would save billions.
Reality is that it makes no benefit to move away from python to lower level languages. There is no poor optimization you seek. In fact if they were to try this in lower level languages, they'll take even longer to optimize and yield worse results.
If you unlock it and wheel it to the curb, it's not protected anymore. Now assholes have access to it. They can dump dog shit even after the trash has been emptied on the trash day.
Surprised it's still online. Doubly surprised it's still getting updates.