Looking forward to the surprise news that ICE will have expanded powers to use Gestapo tactics on everyone.

Presumably when it gets to zero and keeps going, it wraps around to 100%, right? Keep going tech-bros, we're almost there!

Even better is to just avoid Roblox, surely?

How best to protect your kids in a room full of paedos? Avoid the room altogether. Unless the cost/benefit makes sense - which it doesn't.

Roblox is fixing the problem of others creeping on kids by themselves creeping on kids?

It's adorable how they pretend that the 'well being' gap between the people who matter and the ones who don't is some sort of surprise that calls for urgent action; rather than a deliberate outcome carefully achieved.

It's the pandemic-period numbers that are the anomaly, from a period when at times downright existential issues forced people's hands(at least for white collar workers; if you are 'essential' good luck and back to dealing with the public in person); and a lot of work has been put into rectifying that period.

What's next; a comparative analysis of the labor markets of the 1950s and the 1980s that studiously pretends that it's not exactly as Milton Friedman and Neutron Jack intended?

Their part in it was stupidity, yes. Literally too stupid to formulate a criminal intent.

It isn't even that they gobbled it down at the time so much as they still believe it, despite extensive, conclusive evidence (including dozens of peer reviewed studies) that it was so much BS.

Educational standards have been declining for a long time. It hasn't just recently gotten bad because of Corona. Both math and English instruction have declined to the point that people like you are making excuses for remedial instruction in college.

The sabotage is intentional even if those doing it don't think they are engaging in sabotage. This is painfully obvious if you interact with the K12 education system.

Parents these days have to more to repair the damage done by professionals.

The history of the claim that vaccines cause autism is extremely well documented - as a deliberate fraud.

Unfortunately there are really only two practical ways to get into farming these days.

Some of us are. I did my BS in computer science. Spent 15 years in IT working mostly with Linux servers.

I now run a large farm. My background is actually a really good fit for farming. In fact I think farming would be a good fit for quite a few Linux enthusiasts and makers.

It can in some cases, depending on various factors like the codebase it's working with, the nature of the feature and how well you describe it.

You will often need to refine the prompts, or prompt it further to address bugs or things it decided to implement in a strange way. It also tends to work better with code bases that are smaller or more modular, and with code that was developed using an ai assistant rather than existing code bases.

You're right about it being like junior developers, it's good for getting mundane things done but does often need a lot of guidance.

A current generation LLM is not perfect and cannot replace a skilled employee, at best it can assist a skilled employee to do their work more efficiently.
If you understand this and have appropriate use cases, then it can absolutely be useful.

If you're trying to use it for something it's not suited for then it's going to be useless or even detrimental.

We still have running tractors from the 1940s and 50s. John Deere two-cylinder "putt putt" tractors.

If there was a golden age of tractors, it's hard to pin it down. Yes the 4020 was and is a great tractor, but it's not a tractor you'd want to run all day every day. It's loud and the cab was never comfortable. The Deere 50-series tractors from the 1980s were pretty good, and the cabs were comfortable and quiet. In the 90s there were some good ones too but ideas on what looked good were really weird in that decade. Our current tractors are all 15-20 years old with about the right amount of electronics for my taste. However the engines from this era have a mixed reputation for longevity on some models.

So it's a mixed bag. Computer-controlled engines sure start nice, even in the winter. But a fully mechanical engine can be rebuilt several times.

You can replace most of your developers once you have a mature product, just shift it into maintenance mode.

Because you had a specific goal in mind, knew what you were doing, knew about the different heatmap implementations available and gave precise instructions. You could probably have written this by hand yourself and it just would have taken a bit longer to do.

Problems come up when you have people who don't know what they're doing giving vague instructions to the LLM, and then blindly trusting the output. For instance if you said "draw a heatmap of $DATA" who knows what it would have come back with? it may well have tried to use the deprecated google api because there are likely a lot of examples online and in the LLM's training data.

LLMs are great when they're used to augment people who are already skilled in the art, and can generally help them save time doing a lot of the repetitive stuff. They're not some magic wand allowing someone with zero experience to achieve great results.