You could do this for code reviews. Have Claude include one subtle bug into each PR. If the reviewer does not spot it, then the PR is not mergable.

Yes. Or you want to have a potentially more than one flaw planted, so people don't get lazy after the first one.

I don't think the details of the company's benefits plan is considered your private information. But I am concerned about errors in this parsing leading to incorrect results (and that compounding everywhere throughout society when this sort of workflow becomes ubiquitous).

One lesson that could be applicable, is that your passion doesn't necessarily have to be your "job". You can perform music on the weekends, or be an active participant in your local indie dev gamer community while having a totally boring corporate job. I've seen a lot of people burned by trying to make their passion their actual career.

This is, in fact, what my kid is planning. They are artistically inclined - make beautiful art - but when looking at colleges focused on law.

Why? Because lawyers make bank, and they can fund their passion that way. Not the way I did it, but... who knows?

I think your ability to market will matter the most (which is also pretty much the same as ever).

I think their business model was sustainable, but depended on SEO. AI made it so people would either use the LLM generated tailwind syntax, or the "AI Overview" at the top of the Google search results and never land on the official tailwind documentation site. Less visits on the official docs meant less people would see the paid offerings, which means less people would buy.

It's possible they could have explored other marketing channels (youtube?), but it seems like the death of SEO for this sort of content lead to the main issues.

Probably “Alcoholics Anonymous”

Yes, alcoholic anonymous

You can imagine with more operations being available to be done more cheaply and quickly the LLM doesn't need to "one shot" a solution. It could try many solutions, test them, throw some away, wiggle some of the parameters like a genetic algorithm, see how that changes the result, and converge on an optimal solution (based on whatever the cost function is). Basically producing a good result could become like an optimization problem. That would be way too expensive and slow right now.

I think the scrapers have gotten pretty good and can imitate real traffic. And it isn’t just scraping for model training. A large amount would be LLM tool calls searching the web (and HN) for info about some prompt.

There is caching to consider. Switching models throws away the cached tokens.

This is basically what my life is like (going on 9 years now). I don't think it has necessarily led to burnout for me. Keep in mind that time spent with your children isn't all work. There is some fun and leisure in there as well (although it is a lot of work too).