And that's not really politicians fault, they say what electorate expects, and electorate likes to be cheated.

Google came and worked wonderfully for a year or two, until people learned to game page rank algorithm. Soon first google pages were just SEO spam and now half of the google is just spam, big corp websites, etc.

All of that precious stuff from small hobby websites about cool things to blogs that used to be wonderful read like https://www.joelonsoftware.com.

AI were not hurt that much by spam, I guess there were at least some curation done, the question is if this curation will work and for how long. It seems we are throwing the towel here as in case of search.

Despite China having really great PR this is still a country which has exactly zero free speech, controls 100% of media and internet, keeps people in concentration camps.

So this particular move does not surprise me, in fact, I am surprised that European governments does not get how much sensitive information is leaked through AI and they give all of that freely to third parties from China and also from USA...

That what it cannot do is to invent new drugs, cannot figure out cheap energy sources, find something better than Standard Model in physics, and anything that would contribute to overall human progress.

The result is that it can replace a lot of jobs, it will efficiently killed any research done and the level of master/PhDs, because majority of those can be done now with the help of AI (we already see this, the burst in new scientific articles - nothing groundbreaking, but publishable).

As a results we will have soon a gap, as only very determined people would go into science, analytical jobs, etc.

In one way, this is OK, we had too much science research that was done only for the sake of producing more "papers", we also had a lot of people in the companies doing "bullshit jobs".

But on the other hand, we might face soon situation in which there will be almost no people in Academia, so who will teach people, in addition, science worked often by doing wrong, unreasonable, crazy things, testing vague ideas and come up with something new and great. This required a lot of people doing science without any good results coming out, a lot of seemingly wasted effort just to hit several great ideas (a bit like Venture Capitals work).

This might also lead to decreasing number of white collar jobs. We can have a new "rust belt", the one for blue collar fall happened because of jobs offshoring, now we are "offshoring" white collar jobs to a few companies who offer AI models.

This all will affect badly society without any huge, visible benefits for it as a whole.

I understand that investors are buying this, after all they believed in all of other crap that led to the 2008 crisis, but please...

The "little" problem here is that all of this does not matter at all, as EU is emitting insignificant amount of CO2, comparing to Asia or USA.

Is this really an alternative? I would never replace battle proved TeX with consistent syntax, build for processing text, with great fonts, thousands of plugins for some Markdown mess, which is, in addition, paid.

Only because it is written in Rust, not in C.

Another thing: those were times when web applications were practically 99% reads, and not so great ACID was a non-issue.

Postgres is OK, but it has really a lot of quirks that are not that obvious.

If you want to go with something less mainstream, why not trying Firebird DB, a very solid solution.

- military applications - financial applications - medical - applied science

In all those cases it is achievable for those who have needed training data, and Chinese are not going to get them easily. US AI Labs are showing: give us the data, we will do wonders, promising "singularity"-level future achievements.

BTW. Musk started electric cars revolution (which is supposed to help the planet?), he made space flights way cheaper and accessible, his Starlink/Starshield saved Ukraine from being defeated right away by Russia, but, because of his political views, he is considered an evil man.

People who were in the marketing data analysis (like sentiment analysis) - 5 minutes and they have a code that uses Hugging Face model suited for sentiment analysis, zero-shot classification, etc. No need to pay for expensive online services or expensive NLP software. It's here for free or $20 a month.

Still, it does not mean you will be able to code database engine with LLM, application server, rewrite Django in Rust, etc. So software engineers still will be needed to do ambitious, complicated stuff.

So, I kind of see it backwards, real skills, like knowing algorithms, understanding performance (including hardware stuff like processor caches, etc.) will become needed, as other, simpler jobs that needed only a "coding monkey" will be gone.

We no longer need to dig ditches manually, we have machines for that, but the purpose of the ditches is still planned by man.