aaronbaugher
Joined 1 year ago
Joined 1 year ago
The idea that the virus ever could have been stopped if we'd just all cooperated harder was a retcon invented later by people who wanted to criticize other people for not caring as much as they did. The actual experts always said the best we could do was spread it out.
The cycle continues because we can't learn a lesson that sticks for more than a generation, and the next generation thinks it'll be better this time because they care more than their parents did.
The question itself is very simple, and the answers should be "yes" and "no." All the rest is message.
On the other hand, designing the software or engineering a solution to the problem seems like something they could do, as far as they know, because it's not something concrete that they can look at and see is beyond their abilities.
There's a desire by part of the population, including some people who are influential in the culture and politics, to ban meat or make it prohibitively expensive, in order to reduce the load livestock puts on land and other resources. So if you believed that push was going to reach a tipping point in the next few years, where a lot of people who like meat were about to find that real burgers and steaks were out of their budget, you might think it's a great time to get into the fake meat business and be ready to serve that market.
That didn't happen, but I can see why someone might have thought it was going to, or might think it still will.
I'm starting to get asked, "Could AI help you do such-and-such faster?" At first I tried to explain why the answer is no, because such-and-such doesn't lend itself to what AI is good at. But I'm starting to realize I'm going to have to tell them I am using it and maybe give them an example once in a while, because they're hearing too much about its wonderfulness to believe there's something it can't help with. They're going to think I'm just being stubborn even though I tell them I'm not opposed to using AI where it makes sense. If that means the job actually takes a little longer to add in the part where I use AI to speed it up, they'll be happier.
It probably did save me some time, so I'd call it a mild success; but it didn't save a lot of time, and I only succeeded in the end because I know Salesforce pretty well and was just inexperienced at this one area, so I was able to see where it was probably going off the rails. Someone new to Salesforce would have been hopelessly lost by its advice.
It's understandable that an LLM wouldn't be very good at Salesforce, because there's a lot of bad information in the support forums out there, and the ways of doing things in it have changed multiple times over the years. But that's true of a lot of systems, so it's not an excuse, just a symptom of using LLMs that's probably not going to change.
I suspect it just didn't make sense to have an employee outside smoking or sitting in the break room scrolling on a phone while the customers went through and maybe paid for their goods, when that employee could simply run the checkout counter.