between climate variables. How do you estimate the amount that the estimate of sea level rise will vary with the estimate of the rise in temperature?

It's a typical area where estimate like this can be wrong, and mischaracterize the true uncertainty with a random variable. It's one of the reasons the true risk associate with mortgage backed securities were underestimated prior to 2008.

It's no surprising the climate effects are also underestimated.

But what's the standard error on that?

I'll help you, the lower bound is somewhere arbitrarily close to zero, and the upper bound is probably around 10%.

And that's why computer scientists don't know everything.

kids spend doing basically nothing. And it's not a bad thing.

Seek therapy!

Ok my guy, have fun.

>Fix yourself

Your post deliberately misrepresents how people use LLMs. Or you just don't know. Hard to infer which it is.

> "ChatGPT, solve this problem."

It seems that a lot of people, seemingly smart people, still think this is how anyone uses LLMs.

>expert mathematicians working the prompt.

This isn't a gotcha. This is the standard operating procedure for knowledge workers.

They're using this data to train their models so that future AI content is more difficult to detect.

Make every post like Billy Mays.

It would be an improvement.

And many figure out that an intimate relationship with fewer songs is actually better.

Also fuck Spotify, what a gross corporation that commoditizes art and artists while making them fight for scraps.

and you still don't see the value of unions, I don't know what to say.

Companies are simply churning through their work force to suppress wages. Over hire, over fire. It's a toxic culture of pure stress for everyone below the VP level.

And I use that word very loosely.

So self-absorbed, so self-important...

We all know how this ends. It's just a question of when.

It's about being party of a wanky club.

My guy. I don't know where you live, so I'm going to treat this as a good faith question from someone who lives near an abundant natural water resource.

Much of the country pumps water from a well connected to an aquifer. If you start to pump the aquifer faster than the baseline level of recharge, the level of water begins to drop. If you continue to pump the water out of the aquifer, it doesn't matter what happens to the water after you're done using it. You clean it, discharge it into the local creeks, whatever - it doesn't matter. The reason it doesn't matter is because it takes years of substantial rainfall to replenish these types of water resources. It doesn't just go up, you've used the water, and if you drain it below the level of the well that people have been using nearby, the water is effectively gone.

You're not understanding that drinkable water from underground aquifers is a finite resource over a given amount of time.

They pump aquifers and deplete them faster than they recharge, causing everyone with a well in the area to go dry.

It's not about "destroying water" it's about building your data center in an area that has limited resources and exploiting them for your own personal gain.

Google can't put water back in the aquifer. They pump it dry, and leave everyone who lives there to deal with the problem.