Some will say that the solution to network effects on the Web is decentralization but decentralization doesn't scale. Because of spam, bots and the fact that not everyone will follow the protocol there is always a need for moderators which is just another word for government and Google's main business model.

Even Capitalism is largely decentralized but it can't function without government. I believe true decentralization (anarchism) is only possible on a small scale where everyone knows each other, very small communities. It's not possible on the global level like in Capitalism or even the Web.

These problems arise when dealing with a monopoly, that undermines the free market and that's a far worse systemic problem and the root cause of these issues. AI has nothing to do with it.

But they will still rely on assembly, C, Rust, Linux, HTML, TCP/IP... Doesn't matter how up to date they are, they rely on existing code they have been trained on, they can't just create new languages without the training data.

Another reason is that LLMs train on the existing code we already know, don't expect new programming languages or frameworks this means that the software engineering skills that exist today will be relevant for a long time.

In essence if you take capitalism to it's max you will eventually meet Marx.

Then that would be the main issue and far worse then the algorithms, that's a monopoly or cartel and not a free market. Because in a competitive market prices will be competitive with very little arbitrage.

"AI slop is rapidly destroying the WWW, most of the content is becoming more and more low-quality and difficult to tell if its true or hallucinated. Pre-AI web content is now more like the golden-standard in terms of correctness, browsing the Internet Archive is much better. This will only cause content to go behind pay-walls, allot of open-source projects will be closed source not only because of the increased work maintainers have to do to not only review but also audit patches for potential AI hallucinations but also because their work is being used to train LLMs and re-licensed to proprietary."