That’s easy to do. You just check that the username exists. If someone enters a wrong username/password pair, you can still check that the username exists, but how do you know that the user intended to log in with that username? You would also have to check every other username to see if the password matches, and that can’t be done with a simple search because you need to compute a different hash for each user you check. Then if the username exists and the password also happens to match someone else’s password, then what do you report? Should you even report it? Because doing so reveals that someone had that specific password, and if the list of usernames is publicly available (which they often are, or could become public through a leak of some sort), then you can brute force over a small set of usernames to match them up.

Looks like green bell pepper rings to me. That’s a common pizza topping.

127.0.0.1:8000

It’s insane that this happens. I’ve had memberships at six different gyms over my lifetime. For all but one, I’ve had to explicitly tell them that I want to renew, or else the membership gets automatically cancelled at the end of the contract term.

Yeah, the reason we don’t have those isn’t technological. We could have it today if we collectively decided that we wanted it.

People who start with preconceptions based on labels can still be swayed. It just becomes an uphill battle of figuring out what they think the label means and dispelling those before getting to the meat of the discussion when you can instead just start on the meat.

The debate will probably go somewhere if people took a moment to think about why murder is bad and why choice is important, then consider why that would or wouldn’t apply to this specific scenario.

The issue is in finding buyers who have enough money to spend on those luxury goods.

That’s me. I am alpha male.

You know what else takes far less energy than training a single model? One query. Yet, you argue that it’s the main contributor to the energy consumption. Why is that? It’s because there’s a very high volume of them, thus bringing up the total energy consumption. At the end of the day, it’s this total energy consumption that matters, not the cost of doing it once. Look at the total energy expenditure of training, not just the cost of doing it once.

So, it’s kind of weird t0 single AI energy use out here as some form of exceptional evil.

We’re talking about AI here because that’s the topic of this thread. I’ve never seen anyone say that it’s the only problem worth addressing. Plus, if you want to compare energy usage of ads (or anything else) compared to AI, you would first need to know how much energy AI is actually using.

Training is a continuous expenditure. We’re nearly ten years into this craze and we’re still continuously pumping out new models. Whether they’re trained from scratch or not is immaterial. Both processes still consume energy. If you want to justify the claim that training cost is negligible, you would have to show that this cost is actually going down over time and that it’s going down sufficiently quickly.

It doesn’t look like that energy consumption blog post account for the cost of training the model. Otherwise, it should be telling us how many queries/sessions are assumed to be run over the course of the lifetime of a model.

I like to keep to the same routine when possible. Birthdays and holidays interrupt that. No good. I can’t do much for holidays, but since my birthday is supposed to be my day, i can demand this from everyone around me.

They never claimed that it was the whole thing. Only that it was part of it.

How is this untrue? Generative pre-training is literally training the model to predict what might come next in a given text.

We have the term AGI because we sometimes want to communicate something more specific, and AI is too broad of a term.

So much tech support has moved to Discord. That’s worth keeping around.

With no additional context, if you said that “the balls in this glass are generally blue”, I would interpret that meaning every ball falls within the range of hues that can still be called blue by most people but may be questioned by a few. So 100% of the balls have to be “I can see why someone would call that blue”.

Financing is available for your $1 candy bars now.

Of those who regularly donate (or think of donating) to FOSS projects, how many of them would’ve even had sudo cross their mind as a potential recipient for those donations?