♪ You’re so pretty. ♪

♪ Oh, so pretty. ♪

♪ You are pretty and witty and GAAAAAAAAAAAAAAY. ♪

In a way, I’m glad people are slowing starting to come around and pay attention to this. For years, any time I would publicly complain about Amazon customer service online, it was very common for people to be completely dismissive or even blame me. I’d hear statements like “sure Amazon sucks, but they have great customer service” and I’d think to myself, just wait until it’s your time to find out that the customer service isn’t what you think it is.

Long story short, the item came with a broken part. Should have been quick and easy to rectify (send a replacement part, send a replacement unit, or refund the purchase). The seller was completely unhelpful. Amazon customer service would not intervene and insisted that I continue fruitlessly corresponding with the vendor, even though they had an “A-to-Z” money back guarantee if something goes wrong. It literally took months of back and forth between me, the vendor, and Amazon customer service before things were finally refunded in full.

So, basically I gave them another chance and they showed that things hadn’t improved a bit.

What’s more likely, someone at reddit fucked up an analysis, or these ads are 14x better than Google or 31x better than FB?

What’s most likely is that you misread or misinterpreted what was stated. It says the new format outperforms other types of ads by 28%, not that they get 28% CTR.

Anecdotally speaking, I’ve been suspecting this was happening already with code related AI as I’ve been noticing a pretty steep decline in code quality of the code suggestions various AI tools have been providing.

Some of these tools, like GitHub’s AI product, are trained on their own code repositories. As more and more developers use AI to help generate code and especially as more novice level developers rely on AI to help learn new technologies, more of that AI generated code is getting added to the repos (in theory) that are used to train the AI. Not that all AI code is garbage, but there’s enough that is garbage in my experience, that I suspect it’s going to be a garbage in, garbage out affair sans human correction/oversight. Currently, as far as I can tell, these tools aren’t really using much in the way of good metrics to rate whether the code they are training on is quality or not, nor whether it actually even works or not.

More and more often I’m getting ungrounded output (the new term for hallucinations) when it comes to code, rather than the actual helpful and relevant stuff that had me so excited when I first started using these products. And I worry that it’s going to get worse. I hope not, of course, but it is a little concerning when the AI tools are more consistently providing useless / broken suggestions.

Fun fact since you may not be aware, but not all owls are nocturnal. And even those that are considered nocturnal are often active at dusk (after sun set but before the sky has gone dark). So, it could still work.

In the USA at least, any time you buy alcohol, tobacco, or any number of other random things that the retailer decides to flag as requiring ID, then you’ll need assistance from a cashier. Random things include razor blades, compressed air, some herbal supplements, spray paint, butane torches, or any of dozens of other items. Any time you accidentally scan something twice, you’ll need a cashier’s assistance. Any time something rings up the wrong price or any time the UPC doesn’t scan, you’ll need a cashier’s assistance. Also, if you’re buying gift cards, you may need a cashier’s assistance.

Also, different stores have different machines and different machines work better than others. Many places have ridiculously sensitive machines that freeze up if so much as a fruit fly farts on it. Some places use “AI cameras” to detect theft, which basically the algorithm for that seems to be “If (customer scanned something OR customer didn’t scan something) then (theft, so freeze and call cashier for assistance)”.

So, the frequency is highly variable. For some stores, I can usually manage to get by with almost never needing assistance. For others, it’s practically every visit.

Personally, I don’t think the technology is a failure. It’s the implementation that’s the pain point.

I’m no fan of Walmart, but the local store has the lenient self checkout machines that don’t make you place and leave your items in the bagging area. And there’s a hand scanner for each machine. The hand scanner is pretty close to instant, so I can literally scan an entire cart full of items in under a minute (with caveats) and you don’t even have to take things out of the cart to scan them (with caveats). Sometimes there are hiccups and obviously some items are sold by weight, so that’ll slow things down.

But even with all that, the implementation is the pain point because they’ll only have 1 person running the machines, so if they have to run off to help a customer or multiple people need help at the same time, you just have to wait. Also, the particular store I go to shuts down half the machines ridiculously early in the evening. When the machines break, they stay broken for weeks or months. And they have some kind of ridiculous system where some of the machines are cash-only, some are card-only, but the majority will accept either – this adds to a lot of inefficiency because a lot of customers don’t know which machines are which and if you mess up and pick the wrong one then things get tied up while you wait for a cashier to come and transfer you over to a different one so you can pay.

The other big factor is that customers were trained on the old shitty style self checkouts where you had to scan each item one at a time, place it in the bagging area, leave it there until you pay, and if so much as a speck of dust landed in the bagging area or a piece of onion skin fell off, it would freeze up. So even with the new lenient hand scanners, people still do it the old and slow way.