Ironically it used to be the case that best developers who actually were able to accomplish something were gradually promoted to management. HArdcore developers who really loved coding were resisting that but there was a pressure definitely. And it makes sense managers are better managers if they know more about the tasks they are managing.

Now every developer is getting promoted to management because they are expected to manage the AI-agents. But their status in the organization nor pay does not really increase does it when every coder is doing that.

One of the metaphorical questions I have been pondering lately, is this:

How interchangeable are shepherds?

Not a question that demands answers in this thread, obviously.

Sounds about right. Those people seem to want to create the impression that they are "AI Power Users". That gives them more power inside the organization. People come to them to ask for advice. Also if their output is not good they can claim that is because the AI budget didn't allow them to do more.

It's more power to power-users. And more dumbness for dumbos

It's gasoline. Whether you put it in the tank of a race car or pour it all over the floor while handling lit matches is up to the user

I think hard part is that outside it takes 1-3 months to see if it’s race car. Especially in begin both things look pretty same.

At least with fire, you know when you are getting burned.

it disproportionately empowers the dumb and evil it seems. those two classes of people are supercharged by AI.

Consider also Chiness EV prices. Unfortunately you can't buy them in the US it seems. https://www.reuters.com/business/autos-transportation/averag...

Note it is easy to confuse "free" with "paid by advertisements".

Motive probabaly doesn't matter in the end, outcome does. But understanding the motive is a good thing.

Maybe the financiers of a project just need it, they need it working, not to generate revenue for them?

What if we had a local server running on the same PC, which then relays the request to some shared server on the internet?

That's what a background worker is: a local server managed by the browser and only accessible to pages of the origin domain.

I'm thinking using a local http-server instead of web-workers . The local http server would do all the server-logic except also passing data that needs to be shared to a non-local server.

True, but that is a great fact to start from, and understand.

Then the next question becomes "HOW do they predict the next token?" There are many ways that can be done, why is this particular algorithm so GOOD?"

When people say "We don't understand how LLM works" isn't it really saying we don't understand how this specific algorithm used to predict the next token works? No, it is not, because "we" do understand how all those algorithms work there are many descriptions of them available.

So the question then really is "Why is the prediction this algorithm makes, so good, as compared to some other statistical algorithms?"

It's not about "Why does AI work so well?". It should be "Why does this particular XYZ algorithm work so well?"

Game of Life comes to mind: Most simple logic, emerging patterns are hard to believe.