I thought it was only a problem for English communication, for which we have little care, but the same applies to code now. More and more code appears to be “probabilistic code”, homogenized to what is most common in the data LLMs were trained on.

My “advice” is also US-centric, where I have observed time and again what truly leads to one getting their fair share.

Freelancing is a way to achieve this.

But those things are tied together.

Even xAI, that now has a reasonably competitive model, is struggling to achieve PMF. Meta is in shambles because their models have underperformed for years now.

And yet, billionaires will remain billionaires. As if there are no consequences for these guys.

Meanwhile I feel another bubble burst coming that will hang everyone else high and dry.

It’s apparently much easier to scare the masses with visions of ASI, than to build a general intelligence that can pick up a new 2D video game faster than a human being.

As for degrees with no use, pretty sure these are the byproducts of education for profit, with heavy marketing passing as administrative expense.

Maybe you could divide the system in two halves: 1) Of national interest, 2) Discretionary.

As for earning potential, it has nothing to do with free education, as so many high-earners in the US were educated by such systems.