Not at all. This is no different than those times an employee cannot hear or understand a person and asks them to pull up to the window. Is that also an "awful customer experience"? Because I can tell you right now, humans are not right 100% of the time taking drive-thru orders.

Further, you're not even considering the responsiveness. AI begins taking the order immediately, where employees often have a several second delay before they can get to you, and that's assuming they don't flat-out tell you to wait and then finally take your order a minute later. It's been my experience that the AI ordering (at Bojangles which I talk about in another comment) is faster and easier than all but the very best employees (so in other words on average it's better).

I'm not sure if this is worse, or just different, than people being prompted into suicide by assholes online, or in person, etc. There was a point in time where it seemed to be a fairly regular occurrence that someone committed suicide because someone egged them on, or was just extremely insensitive to the reality of the person's situation, online.

This seems like a tempest in a teapot. All this system does in any anomalous condition is dump the customer over to the drive-through employee to take the order manually like before.

It shouldn't be difficult to define escape conditions for this. If quantity is over X (for ANY item), or if it's been more than 30 seconds and no item has been added to the order, etc.

A system like this doesn't have to work 100% of the time, just 95% of the time to take some load off employees to (supposedly) allow orders to be filled faster.

Bojangles (primarily a southern chain in VA, NC, SC and GA) have been using AI at the drive throughs and it works great. I don't know how immune it is to trolling, because I'm not an ass, but it works great for normal people.

There are absolutely areas of employment that we are going to have big shortages in several years down the road because of this.

My wife and I both work in Radiology, and most all hospitals are having some trouble finding radiologists to read images. The cause? About 8-10 years ago it was all over the news that AI was reading medical images and doing a better job than radiologists. That caused a non-trivial percentage of medical students to choose some other specialization, believing that AI would replace enough radiologists that they wouldn't find work.

Well, that didn't come to pass. Sure, AI is being used in some small way, mainly to flag things and bring specific areas of an image to a doctor's attention, but at this point it hasn't actually improved their workflow or the speed in which they can read images. So now we're paying the price with a shortage in radiologists.

Now apply that scenario to almost every professional career you can think of, and imagine the shortages we're going to have 8-10 years down the line when AI didn't live up to the hype in myriad careers and fields. My prediction is trade careers (construction, plumbing, electrical, etc) are going to reach an all-time high (which is actually needed, so that's a good thing) as people pick career paths that can't be touched by AI.

I don't see how that has anything to do with his point. Someone being sniffed is an invasion of their personal space, and it wasn't consensual, so there most certainly was a victim. You can't consider a person a victim for using a controlled substance of their own choice. Perhaps if it destroys their life or harms them in some way, maybe.

As far as public sex, the victims would potentially be witnesses who did not want to see that, but I don't think that is the case here either.

Yeah, this used to be called the dollar theater, like back in the 90s. You could watch older movies for 1/4th the price of a new release. There were entire theaters that just did these older release movies all the time.

Do you have any idea of the volume of material we're talking about here? Further, the amount of minerals they're talking about in this volume of tailings is miniscule, and there is no reasonable technology to extract that small of a ratio of minerals out of that volume of material at this time.

This is just a geologist pointing out that as some mine is processing the actual valuable thing they are in business to mine (and that they are mining in that specific area because that thing is concentrated there enough for extraction), there is some tiny amount of other stuff passing through. Whether or not that other stuff can be reasonably extracted is doubtful, and would be totally specific to that mineral as well.

An analogy is you've got some giant bulldozer out on a beach shaping and smoothing out the sand, and someone says "Hey, there's some coins in that sand, if you can figure out how to get them out while you're pushing that sand around".

Do they spend an additional two weeks then verifying that all that information is correct and not hallucinated, or is it enough that the information, real or fabricated, is simply presented in a well-written manner?

If a client then acts upon that tax advice and it costs them millions in fines or jail time, is the tax advice company liable? Must not be...

So your argument is the F-35 program is very expensive, so let's not bother cutting waste anywhere else in the government? If you aren't a politician or part of the bureaucracy you're missing your calling.

Any diversification of production for a company like Apple is a good thing, for a plethora of reasons. It's hard to think of a counter argument by anyone (that isn't Chinese) that the phones should be exclusively made in that country, for sale in the US and abroad.

Do you inspect the plants in China or something to be so certain their process is not reproduceable in other countries?

You do realize the phones being sold this year are still mainly made in China, and over time more will be made in India, thus you have that ass-backwards and should be wanting to purchase an iPhone ASAP.

I'm really surprised the market stayed so bullish on Nvidia for so long. GPUs are just a temporary stop-gap measure to run AI models, as it is the best generic, off-the-shelf hardware for that purpose when the boom began.

Purpose-built chips for running AI inference (like Groq) blow GPUs away, both in performance, and more importantly, power efficiency. Unless Nvidia is taking this surge in money and using it purely for R&D on entirely new non-GPU AI hardware, this bubble is going to pop for them in a massive way when GPU sales go back to being driven by graphic rendering.

Well what type of aircraft are they flying? Maybe have them fly something slower / simpler like a Cessna to start with?

Alright Bill, all done. How about you send me an email and when I forward it the $1 million will get transferred into my bank.