Enoril

If you try to run the game from the windows vm yes the perf are bad.

But try to play these game from linux using wine/lutris ou protom/steam and you could be surprised

My games were running better (really better) on archlinux than windows 11. And i have also a nvidia card (RTX 3090 FE)

Wrong “logic” here. A tumor is something that threatened life by just being here.

Are you an active threat to this person? If not, move out.

Probably technical. A too big variation (hertz, voltage in this case?) can trigger an automatic disconnection from other networks. The cut in France was quick to fix as soon they isolated the Spain network and rerouted/decreased/increased production from others part of Europe.

Because, even today, you can’t and will never have a 100% reliable answer.

You need to have at least 2 different validators to reduce the probability of errors. And you can’t just say, let’s run this check twice by AI as they will have the same flaw. You need to check it with a different point of view (being in term of technology or ressource/people).

This is the principle we apply in aeronautics since decades, and even with these layers of precautions and security, you still have accident.

ML is like the aircraft industry a century ago, safety rules will be written with the blood of the victims of this technology.

Make sure to check your bandwidth capacity. Streaming data to 5 people could reduce your capability to navigate on Internet if they are outside your local net as the upload speed is usually the weak point of many ISP. If you have good fiber, it won’t be a problem.

For a company, the choice are today: AWS or Microsoft. I would prefer an EU version (of being spied). It was pitched as the next big step, like this IA initiative today… Still waiting…

Because the chips in question for AI are made in Taiwan and nowhere else. The fabs you see on US or EU soils are few generation behind. It will takes decades to be back (if possible) at the same level than Taiwan. And it cost a lot of investment. Ask Intel, they started that many years ago and still constructing the Fab as we speak. And it’s not even the latest generation Fab.

Making headlines is not a proof of quality. It’s just the latest buzz word. You should be less influenced by trends but more by real results.

Btw, I’ve participated to this kind of summit, even as speaker. These events are more a marketing and lobbying tool for consultant firms than being a real breakthrough event on the technology.

They did the same for the sovereign cloud years ago. Lot of money (our taxes) given, fancy events, fancy speeches. Concrete results: still waiting.

And yes, this ML training already show it’s limitations (hence the thing of the past remark). Until recently, you could improve the quality of the answer by providing more training data. But now, they’ve reached the limit as no more data can be given.

It’s just a matter of time before the bubble explode.

Sorry but no.

It’s good when what you are trying to do has been done in the past by thousand of people (thanks to the free training data). But it’s really bad for new use case. After all it’s a glorified and expensive auto-complete tool trained on code they parsed. It’s not magic, it’s math.

But you don’t get intelligence, creativity from these tools. It’s math! Math is the least creative domain on earth. Since when being a programmer is just typing portion of code from boilerplate / examples from internet?

It’s the logical thinking, taking into account all the parameters and constraints, breaking problems into piece of code, checking it, testing it, deploying it, supporting it.

Ok, programming goal is to solve a problem. But usually not all the parameters of the problem can be reduced to its mathematical form.

IA are far from being able to do that and the ratio gain/cost is not proven at all. These companies are so committed to AI (in term of money invested) that THEY MUST make you use their AI products, whatever its quality. They even use a marketing term to hide their product bad answer: hallucinations. Hallucination is just a fancy word to not say: totally wrong.

Do you find normal to buy a solution that never produces 100% good results (more around 20% of failure)?

In my industry, this IA trend (pushed mainly from managers not knowing what really is programming and of course “AI”) generate a lot of bad quality code from our junior devs. And it’s not something i want to push in production.

In fact, a lot of PoC around ML never goes from the R&D phase to the real production. It’s too risky for the business (as human life could be impacted).

Glorified autocorrect… YES! It’s a really good analogy that i will use to temper the expectation of my boss. Also: AI hallucination is just a fancy way to say ’it’s a wrong answer’.

You have free access to this piece as it’s just below. You put a bucket below, unscrew, empty it, screw and you’re down with the clogging.

The goal of this plastic receptable is to avoid costly clogging down the line by intercepting it locally. And also recover object that fall like ring while watching your hands.