By the year 2120, humanity will fly to populate near space and realize that powerful AI is needed
Now people will not be allowed to create powerful artificial intelligence, and computers and technology are too weak to create it. Society is deliberately being stupefied by smartphones and television. There is no fundamental research in the field of physics. Scientists are busy proving that the Earth is round.

When artificial intelligence surpasses human intelligence, implants will be created immediately to even the gap. There will be a cyborgization of society.
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A struggle for influence in the artificial intelligence market is unfolding among tech giants.
There are many goals, from creating a monopoly and capturing market share to destroying competitors. They understand that if their system dominates, they will have money, influence, employees who do not need to be trained, and the opportunity to destroy or slow down competitors. Even sabotage: it takes time to study the system, and when a person realizes that he was studying an outdated framework in vain, time is wasted. If they don't act, they will find themselves in this position.

You can train neural networks without a framework, as well as speed up learning.
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No, it will not replace it, but competition for jobs will increase. And there will be a shortage of programmers in the future.
Executives at various IT companies are now publicly declaring that AI will soon replace programmers. Although the CEO of an IT company often understands little about the work of a programmer, for shareholders, the opinion of such people looks authoritative, and they believe him. Laying off programmers without losing profits is nothing more than the wet fantasies of managers and shareholders of companies. If a company cuts its programmers by a factor of five, its competitors will immediately try to overtake it, even if it costs them a couple of years of work without a profit.

What about Google laying off programmers? It lays off expensive American programmers and immediately hires cheap Indian ones. American programmer - 4,000, Indian programmer - 1,500.
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Increase the number of datasets in different languages
Right now, the problem with the growth of AI is the lack of quality data.

In the near future, there is a demand for quality data analysts.
Data quality is the main obstacle to GenAI
Legacy data architectures are holding back the adoption of generative AI
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