And what the article complains about is by design, not a bug. It is a tradeoff made to avoid bloat. In any case, given the future possibilities, I'd bet on Go.

If anything, the language is just slower to evolve because every language change means the tooling needs to catch up. And now llms would have to catch up. ChatGPT is still using Go 1.23 for instance...

Having had the chance to try and implement libraries to interface with those systems a couple times, most people agree that implementations are far from perfect or streamlined. We call this incidental/accidental complexity.

We will see I guess... It could also be an opportunity to audit systems in automated ways.

If we deal with the intricacies of rbac, abac, acl mixed with scopes ,sso, saml, oidc, mfa, etc... I don't find these too conceptually, complex.

I mean, it should be avoidable complexity. Most of the complexity is technical debt, bad implementations etc. But by itself it is not THAT complex.

People not knowing what salt and pepper is... Vulnerabilities almost as if on purpose...

Perhaps it is actually not THAT hard but just like error handling, people don't want to do the unsexy parts and want to delegate those tasks to someone else perhaps. There must be a behavioral pattern there...

At least it is my experience building some systems.

Not sure it is always a good calculus to defer the hard thinking to later.

So time based costs for product manufacturing and procurement.

Everyone will barter again in a sense.

Better money circulation. Those who just want entertainment can also do nothing. But entertainment will be a more important field. Already the case with tiktok, everyone is becoming an interntainer(sic) these days.

You have things such as the police olympics so to speak in the UAE... :)

So coaching people, personal improvement, wellness, will be good fields to be in.

But even then it is quite impressive.

Concretely in my use case, off of a manual base of code, having claude has the planner and code writer and GPT as the reviewer works very well. GPT is somehow better at minutiae and thinking in depth. But claude is a bit smarter and somehow has better coding style.

Before 4.5, GPT was just miles ahead.

What is a negative number? What is multiplication? What is a complex "number"? Complex are not even orderable. Is complex addition an overloading of the addition operator. Same with multiplication?

What i squared is -1 ? What does -1 even mean? Is the sign, a kind of operator?

The geometric interpretation help. These are transformations. Instead of 1 + i, we could/should write (1,i)

The AI might be clearer: https://gemini.google.com/share/6e00fab74749

A lot of math is not very clear because it is not very well taught. The notations are unclear. For instance, another example is: what is the difference between a matrix and a tensor? But that is another debate for anyone who wants to think about it. The definition found in books is often kind of wrong making a distinction that shouldn't really exist more often than not.

Fun fact: I got to read the thesis of one my uncles who was a young professor back in the 90's. Right when they were discovering bosons. They were already modelling them as tensors back then. And probably multilinear transformations.

Now that I am grown I can understand a little more, I was about 10 years old back then. I had no idea he was studying and teaching the state of the art. xD