Thanks for sharing, i haven’t been able to find a good guide, will check it out. Or more accurately a guide that i can follow with ease.

I went into hyperbole there, my bad. I agree wholeheartedly with your reply.

Admittedly, I have a bias here, since using water for food production feels more justified. Same with some industries. But I concede and agree that meat is not the most efficient way nor the most ethical source of food.

I think data centers rub me the wrong way because, for me, they are the straw that broke the camel’s back. We see how lots of countries pull out of the fight against climate change (not that they were really fighting it, but at least they seemed to care a little) and now they waste more resources on things that are, from my point of view, not productive nor useful to most people. (Ethics aside, my view on Gen AI is that it is a tech that is not mature enough, and that the use of brute force to make it better is a waste of resources)

I will try to be more mindful about my comments.

I kid you not, yesterday while reading about the ai bubble and the datacenters boom i was thinking maybe this is THE filter.

Not a nuclear winter, not the angry alien or the big scary asteroid. Just a fucking chatbot wasting all the water and power. We truly live in a boring dystopia.

I should have seen this coming, even then, I am extremely sad.

This was of the few uses for machine learning that I think it was genuily useful. Mature enough to make an impact without destroying the enviroment.

It was also my main argument for people that are full hate AI. Now gone.

I hope others companies continue this research. It’s in this type of problems where machine learning truly shines.

GenAi is still not mature enough, throwing so much compute power at it, is mostly wasting resources.

Imagine what could be done if all the computer power and researchers wasted on chats went to this type of project.

The Crypto AG story shows that the location of a company doesn’t matter that much. The US simply made legal what they were already doing behind the scenes. Intelligence services have always been and still are above the law.

Unpopular takes incoming.

Signal.

Way too many red flags.

• Why ask for mandatory phone numbers? You could at least make it opt in.
• Why we can’t inspect the latest server code?
• Why not make it easy for people to run their own servers?

Do you truly believe that a company that wants to preserve your privacy would take this direction?

And i don’t care how secure the protocol is, how well the code is audited. They can still map your social graph.

Anyways, because of my threat model, i still use Signal. But if i were an activist i wouldnt touch it.

More unpopular takes:

Tor and Mullvad probably compromised too. If a service gets too mainstream, I dont believe for a second that they would let it run without care. They would take it down, or control it.

Now, these services are still usefull. For example mt threat model is to deny my shit to the big tech. So they are useful if you want to escape data collection for adversiment purposes.

I don’t think they would burn the reputation of these services for low hanging fruit like selling data for ads.

Now that you tell me, I think i have heard about that before. It does make a bit of sense, there may be some of both things to this madness. While speculation i value the observation and i will keep it mind, thank you for sharing it.

Fully agree, while people losing jobs to ai is sad, i have zero sympathies for meta employees. They knew pretty well how insidious that company is, and as you said, they are smart enough to find a good enough job in another company.

A bit off topic, but all this ai stuff replacing so many jobs is a bit baffling to me. At least for certain jobs. It’s not like in the industrial revolution where you could see tangible results in production and efficiency. Even if it come at a terrible human cost you could see the cold logic.
Here in change, they are firing good talent only to get a subpar costlier replacement. Sure there are some places where it works, but i don’t believe it’s yet to the scale where you would fire so many people.

I suppose the wet dreams of a future with no employees is too good to pass.

I did, but i don’t know if changing things there will cause conflicts.

Since i have no experience using luci i don’t know what behaviour is normal or expected, and to what extent the custom software glinet uses changes it. Do you think that tweeking the preconfigured networks would cause conflicts in the long run?

After sleeping over it, im leaning towards going full vanilla. It should be easier to find tutorials to solve and isolate problems.

Anyways thanks for your comment.