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Business, Economics, and Taxes: Eat Cereal for Dinner

A coworker hates every flavor of Jefferson's except for one: Jefferson's Ocean. Says it one of the best he's had.
That is the only one I dislike...its not bad just meh. The rest are quite good.

1797 is a very good one as well and reasonably priced.
 
The thing about AI is that it’s a tool. It’s not anything more than that.

It’s an EXCEPTIONALLY good search tool, for example. The tests where it solves recursive riddles (where answers to each question rely on answers to previous questions) that would take hours for a human to find and traditional google searches could never find. It can parse information and present it quite well, so long as the sources are verified.

It’s quite good at generating code itself and evaluating code written by humans for bugs. Almost all large projects are utilizing at least one layer of AI validation for checking. If not more.

They’re also finding amazing uses for it in the medical fields. It has shown tons of promise in detection of cancers before traditional tests can pick it up.

But like any tool, it’s only as good as its user. So put it in the hands of a chud like Big Balls and you probably are going to get the equivalent of GPS driving someone off a cliff.
I've been thinking about this for a while, and I don't think I actually agree with that. It's only as good as the coding, and noting the output of the searches they are telling us are so good, I don't see them as being exceptional.

The one thing I will say is compared to the current search engines, they are good. But I also think that google and others have bailed on their original work and progress that made them so good as being search engines. Had companies like google kept developing the search engines that got them where they were, I honestly think that it would be better than the AI generated search output.

I see where you are getting at when you compare it to human intervention. But how many human hours did it take to teach the AI system to learn how to search for objects? For example, I know of the project to classify galaxies in the universe- but thousands and thousands of people spent time looking at them to classify them so that the AI tool would work. Same goes for other inputs. Granted, the folding of huge molecules had made very little progress when now at tool is finding new useful chemicals. But how much of that is actually AI vs. a custom developed tool to specifically do folded molecules?

Basically, I question the generic application of "AI" when it could be just better coding and search engines that have been developed. Most of which were happening at the same time as "AI" was being developed. Heck, I know Ford was doing a lot of work on image recognition in the teens in the progress for self driving cars. So I don't know where the great leap happened- in the progress of specific search and recognition or AI.
 
AI is IT and IT has gone down the get rich off of social media and crime route. What IT has done to kids in this country will take decades maybe centuries to correct. AI is only going to make it worse.
 
Some employees say the new leadership is becoming more and more focused on shareholders, so I think they’re unfortunately starting to go down that line, but at this point it’s still one of the most desirable retail jobs.
Yeah and they didn't bend a knee to Trump either. Plus their in house brand is Kirkland. (Seattle) and it is a pretty good brand :)

Shopping at Costco is chaotic, but the workers seem very happy to be there and I have seen a lot of the same people there in the decade I have had a membership.
 
I do not code professionally but it sounds to me as if it would be both better and cheaper to just hire real developers in the first place.
Specifically to my company, the guy who heads my branch of the tech tree shows that development projects are hitting their deliverable date goals at a higher rate than before use of AI. Thus far, they’re counting it as a net gain. I think the dev teams can very quickly recognize the GIGO trash, and that’s why we see the efficiency gains.
 
Specifically to my company, the guy who heads my branch of the tech tree shows that development projects are hitting their deliverable date goals at a higher rate than before use of AI. Thus far, they’re counting it as a net gain. I think the dev teams can very quickly recognize the GIGO trash, and that’s why we see the efficiency gains.

My entirely uneducated intuition is, as AI gets better, it will leave the "uncanny valley" of code that is obviously trash and start producing more and more quality-adjacent code that is actually just as wrong, but more damaging as it is subtle and less likely to be caught before PROD.

The dream is someday all code will be wrong but undetectable. And the error detection and build and deploy code as well, of course.

But that's my natural dark sensibility, too.
 

In July, there were 62,075 job cuts announced, according to a report by outplacement firm Challenger, Gray & Christmas. That's a 29 percent jump from June and 140 percent higher than the 25,885 announced in July 2024.

The July figure is well above the post-pandemic average for the month (23,584 between 2021 and 2024) and slightly higher than the past decade's July average of 60,398. It pushes the 2025 total to 806,383 layoffs—a 75 percent increase compared with the same period last year and already 6 percent higher than all of 2024. It's the highest January-to-July figure since 2020, when pandemic shutdowns drove layoffs above 1.8 million.

The surge in layoffs in 2025 is due to a mix of government downsizing, corporate restructuring and the growing effects of artificial intelligence. Public agencies, tech firms and retailers are leading the cuts.
Emphasis mine.
 
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