Or home phones with speed-dial.

You let some one/thing do tasks for you and you eventually forget how to do them yourself.

AIs were trained on information generated by people. Where's our (collective) dividend? What's our benefit? And being made redundant, after training our AI replacement, doesn't count. Granted, some people created more information than others, but everyone played some part. For example. the guy cutting a researcher's lawn allowed the the latter to spend more tome and concentration on his work.

That's going to work out for the former only so long, before the rest of the people tire of cake.

One has to be very specific when making deals with goblins.

Just, no.

Or, Gooble Box and tell people they're recharged by stomping on them. :-)

I moderately to heavily use AI for my work because it is capable of speeding up routine time-consuming tasks. I do that so I can use my time more effectively on other productive tasks. However, I did rough calculation and it costs about 4$/hour in tokens for that. That is subsidized costs where LLMs are offered at a loss to capture market share. True costs are easily double that. This is not trivial cost if everyone in a company starts doing that.

I know people that still expose their lives to Google, but I am not one of them. Especially now, at the start of the age of AI where all information is used to profile you and used against you, from salary negotiation to loan applications, it is absolutely crazy to want any product at any price, including free, from Google.

30 million gallons just evaporated or percolated? Yet it didn't do that from the source before being drained. I imagine there would at least be a few large puddles on site. I'm still dubious.

The water went into the site, but where did it go then? If it wasn't bound up in concrete - someone else noted that concrete is usually trucked in - and even if it was used in an open-source cooling system, where was it discharged? Didn't someone else notice 30 millions of waste water or outflow somewhere?

For example, Struggling shoe retailer Allbirds makes bizarre pivot to AI, adds $127 million in value.

"They say taupe is very soothing" - Rusty Ryan

So that's something... :-)

Or any number of, now obsolete, general-purpose, vector-processor systems, like the Cray 2 or even parallel systems like the Myrias Parallel System - both of which I was an SA on *way* back. Parallel operations can speed certain type of workflow.

Vector supercomputers
Vector processor

Something about a AI system is misleading? /s To the company's benefit? /s
What are you talking about Willis? (SCRUBS) :-)

So... creating Strange New Worlds. :-)

I'm guessing people like her are used to the crowd having to adapt to them. It's the same logic driving the Trump/GOP mid-cycle re-redistricting efforts.

Her response seems to indicate that not only did she fail to predict the room, she failed to respond to it well after it got read to her.