From what I heard they had two bottles for urine and a bag to deficate in. It would have been freezing and extremely humid inside after even a day as well.
A implosion would be way better than days cramped together suffocating and starving in a inescapable freezing stench filled coffin.
I'm feeling the same way, that would be a much better way to go.
This research by MIT highlights an impressive leap in the field of AI and machine learning, demonstrating that smaller language models can indeed compete with, and even surpass, their larger counterparts in natural language understanding tasks. The introduction of self-training techniques and the innovative use of textual entailment shows a novel approach towards addressing issues like inefficiency and privacy concerns, often associated with larger AI models. This not only makes AI technologies more scalable and cost-effective, but also improves their robustness and adaptability. However, the limitations in multi-class classification tasks indicate there's still room for improvement and exploration. Overall, this study potentially paves the way for a more sustainable and privacy-preserving future in AI technologies, reaffirming the belief that in the world of AI, quality indeed triumphs over sheer size.
And maybe because of this a sequel will finally be made someday. I can't wait to play this.
It really is
That was a good read, thank you.
Here is an AI tldr summary of the article:
In the 1990s, America Online (AOL) employed thousands of volunteer "community leaders" to monitor chat rooms and message boards.
In 1999, two former community leaders sued AOL for back wages, arguing they should have been classified as employees. AOL ultimately settled the lawsuit for $15 million in 2010.
The case highlighted the issue of how to define work in the digital age. The community leaders worked from home on their own computers but were still integral to AOL's services.
There are modern counterparts to AOL's community leaders, such as Reddit moderators. But companies like Reddit and Facebook have avoided the legal issues AOL faced by being more hands-off with their user-created content and communities.
Some critics argue companies like Facebook and BuzzFeed take advantage of users by getting them to provide free labor and content that the companies then monetize through advertising. Users get non-monetary rewards like reputation points or "cat power" rather than actual compensation.
The article questions whether this system is really equitable or sustainable. Companies may risk losing devoted users if they become too aggressive in monetizing user-created content and communities.
An updated version of the adage "if you're not the customer, you're the product" could be "if you're not the customer, you're the product. And quite possibly the employee." Since users provide value to companies like content and moderation, they could be seen as a type of employee, even if they are not officially paid.
The key themes of the article are:
The blurry line between users, volunteers, and employees in the digital age. AOL's community leaders and modern counterparts like Reddit moderators provide value to companies but are not officially employees.
The debate over whether companies are unfairly taking advantage of users by profiting from their free labor and content. Some see it as a fair exchange, while others argue it is "digital sharecropping."
The risk of companies alienating their users by becoming too aggressive in monetizing the value those users provide. AOL faced backlash, and companies today have to strike a balance.
The updated notion of "if you're not the customer, you're the product. And quite possibly the employee." This captures how companies profit from users not just as an audience to sell to advertisers but as a source of labor and content.
They could have made their app better in so many ways. They could have hired some of these other app developers to work on different theme selections for their own app.
Unfortunately I got hurt two years ago at work and I can't imagine how it would have gone if I were still in the states. It led to two years of physio recovery and some medical procedures (both free), and during those two years I got 90% of what my full time pay was - this part was through a government program that covers any job you work at.
I'm on the west coast of Canada and I moved from Pennsylvania - the weather here is a milder version of PA. The summers get hot but not quite to the top end of PA's heat, and the winters are much warmer than PA's winters (sometimes it doesn't even snow).
So it depends where you live in Canada, a lot of places aren't that different than a lot of states.
But if you go way up north, that's where you get to the places where most people think of Canada - cold and snowy.
And yes, engineers are in very high demand (at least in my area).
The fact that that the word 'influencer' can be in the same sentence with this guys name makes me sick.
Ahh okay thanks!
Okay let me think.. Okay, got it.
I'm imagining the very slim chance that the best case scenario general intelligence AI is born in a 5 to 15 year timeframe which ushers in a new world for humanity - uniting all nations, solving all of our issues and eliminates our need to spend most of our lives forced to work. Also allowing us to choose how long we wish to live for, among other unimaginable benefits to us all.
That's the best I've got.