To be fair, “hallucinations” is just an LLM model doing exactly what it is designed to to do. All it does is use a black-box statistical model to estimate the most likely following word or set of words. The only difference between “correct” outputs and “hallucinations” is humans’ interpretation of it, in terms of what the model does there is nothing separating the two.
I just switched to an AM5 board and at least on mine there’s a setting that enables HD resolutions, but the input works noticeably worse than on my mobo from 10 years ago.
I also get that perception, at least what they’re showing outwards, but it’s starting to feel like the EU is actually starting to plan for a future that has at least a much smaller dependence on the US.
I think for the pragmatic diplomats, it makes sense to show you’re willing to go back to the old way of doing things because it might make the transition less painful, you get to keep at least some of the benefits and goodwill while you prepare to move away from them.
However, I also think there are unfortunately a lot of spineless (and greedy) people in power who would go back to, for example, a president Newsom in a heartbeat despite the risks it poses.
Or maybe people have different tastes, preferences, and sensitivities. If you don’t enjoy it yourself that’s fine but it doesn’t mean someone has to be desensitized in order to not think it’s horrible.
To be fair, the vast majority of these are societal standards and not rights, they are still absolutely important and we need to do more for equality both for women and for men, but strictly speaking they are not by definition rights.
But I am in agreement with you that I think a lot of why the younger generation are being pulled in the wrong direction is because men, of which I am one, have not done enough to create an environment that addresses issues that primarily affects men in a way that is not based on misogyny.
Don’t get me wrong, the alt-right have absolutely tried to exacerbate these issues (either knowingly or unknowingly) and use them for their own gains, but we as a society have also not prioritized emotionally healthy solutions and that has led us to where we are.
There isn’t, she’s grifting and trying to get pity for something that she has done and gladly would do again to other people. She’s making sure to leave office right after she has become eligible for retirement benefits, it was never about something other than getting money and attention.
I don’t get the take about “CaPitALism”. If your employer did what you say then they did so in spite of the system of capitalism, not thanks to it. A good employer will set their sights long-term, aiming to keep their employees happy in order to build a stable future, but that’s not what the system rewards, the system rewards short-term profits.
Also, the last story kind of reminds me of “pull yourself up by your bootstraps”-rhetoric (the term also drives me insane because it’s literally against the laws of physics). Are there people who work hard, take steps to advance their careers and achieve success because of their efforts? Absolutely! Are there also other people who try just as hard and don’t achieve the same successes, either due to other struggles or just due to random chance? Most definitely.
Be the change you want to see in the world. Beautiful.
That’s just ridiculous, they wouldn’t price it the same.
They’d price it at 99% of the cost of a human’s salary so that they can convince their customers that they’re saving money by firing their workers, then pocket the difference!
You’re not missing out, in my opinion it was not a good movie in any sense.
Add to that, that to the best of my knowledge, most child rapists are not pedophiles and most pedophiles are not child rapists.
The two being convoluted helps child rapists by letting them hide behind their sexual orientation (“he can’t be a child predator, he has a wife and kids!”) and hurts pedophiles by stigmatizing their condition so that they have a harder time getting help to control or remove their sexual urges.
If we really want to reduce the amount suffering for both adults and, most importantly, children then we have to be able to start having actual conversations about this.
It doesn’t have to be true, it just has to convince his base and that’s a low bar.
Well, that could make the popup unusable depending on screen size. I think the wording is pretty clear, the issue is just that there’s no followup and not clear enough incentives to avoid skirting the rules at the moment.
Not “make it easy”, it’s “make it as easy”, meaning it can’t be easier to accept than to revoke, much clearer bar.
That’s already part of the GDPR, companies just aren’t complying with it.
From the official GDPR site:
To comply with the regulations governing cookies under the GDPR and the ePrivacy Directive you must:
- Receive users’ consent before you use any cookies except strictly necessary cookies.
- Provide accurate and specific information about the data each cookie tracks and its purpose in plain language before consent is received.
- Document and store consent received from users.
- Allow users to access your service even if they refuse to allow the use of certain cookies
- Make it as easy for users to withdraw their consent as it was for them to give their consent in the first place.
…isn’t that technically rape?
Combined with their last two sentences
although it has to do with so many factors that are helping them intentionally.(example they made up majority labs in universities, preferred over men in probably hire situations as part of thier “demographic” goals.
Their comment reads a bit like “how do you do fellow kids non-misogynists”
First person to win two Nobel prizes and the only person to win the Nobel prize in two different scientific fields.
Again, this is a feature of the fundamental structure of how LLMs work. What is determined to be the most statistically likely output is influenced not only by the training data itself but by the weights assigned during training.
LLMs can’t make anything up because they do not know anything. Unexpected outputs likely become more common as the training data used is increasingly more the result of previous LLM outputs, intentionally poisoned data, and an increasing number of limitations are placed upon the models during training.