If you really distill it, I've been doing API Glue for about a quarter century.

I connect to a 3rd party API with shitty specs and inconsistent output that doesn't follow even their spec, swear a bit and adjust my estimates[0]. Do some business stuff with it and shove it to another API.

But I've done that now in ... six maybe seven different languages and a few different frameworks on top of that. And because both sides of the API tend to be a bit shit, there's a lot of experience in defensive coding and verification - as well as writing really polite but pointed Corporate Emails that boil down to "it's your shit that's broken, not ours, you fix it".

At this point I really don't care what language I have to use, as long as it isn't Java (which I've heard has come far in the last decade, but old traumas and all that =).

[0] best one yet is the Swedish "standard" for electricity consumption reports, pretty much every field is optional because they couldn't decide and wanted to please every company in on the project. Now write a parser for that please.

I think the point is that a necessary part of being careful is reviewing the diff yourself end-to-end right before sending it out for review. That catches mistakes like these.

A coworker had this anecdote decades ago.

There's a difference between 10 years of experience and 1 year of experience 10 times.

YOE isn't always a measurement of quality, you can work the same dead-end coding job for 10 years and never get more than "1 year" of actual experience.

Are you saying Amazon isn't a positive? Or that Bezos didn't contribute to making Amazon what it is?

I think it's pretty clear Amazon is quite a positive given by how many people like using it so much for it's convenient 1-stop shop, quick shipping, and hassle-free return process.

Are you saying it would be better to have to shop at 1000 different little websites with probably crappy or at least inconsistent return processes?

> The fact that capital owners successfully avoid contributing to the financing of our states and social systems is

Are you sure capital owners do not contribute to our states and financial systems?

For instance, Jeff Bezos is worth $238 billion even though Amazon has a $2.6 trillion market cap. That's $2.4 trillion of value created for other shareholders plus trillions more for employees, customers, suppliers, governments, and other stakeholders.

Jensen Huang is worth $164 billion while NVIDIA’s market cap is $5 trillion. That’s $4.8 trillion of value for other people (ignoring value created for non-equity stakeholders).

etc.

I'm not saying that there should not ALSO be other ways to force contribution (e.g. via taxes), but to say they do not contribute at all is false.

LLMs all behave as if they are semi-competent (yet eager, ambitious, and career-minded) interns or administrative assistants, working for a powerful CEO-founder. All sycophancy, confidence and positive energy. "You're absolutely right!" "Here's the answer you are looking for!" "Let me do that for you immediately!" "Here is everything I know about what you just mentioned." Never admitting a mistake unless you directly point it out, and then all sorry-this and apologize-that and "here's the actual answer!" It's exactly the kind of personality you always see bubbling up into the orbit of a rich and powerful tech CEO.

No surprise that these products are all dreamt up by powerful tech CEOs who are used to all of their human interactions being with servile people-pleasers. I bet each and every one of them are subtly or overtly shaped by feedback from executives about how they should respond to conversation.

Over/under on when someone is able to de-aggregate an identity down to an individual user?

I’ve got it on less than 6 months.

Sorry but your SQL comparison is way off. SQL is deterministic, has a defined implementation that databases must follow and when you run a statement it presents a query plan.

This is the absolute opposite to using an LLM. Please stop using this comparison and perhaps look for others, like for example, a randomised search engine.