With the volume of outputs in today's academia, this is simply not possible. There are conferences with tens of thousands of submitted papers, grants have hundreds of pages, etc.
The AI companies also have a lot of space to grow their income (more ads, price hikes, ...). It seems realistic for them to turn profitable. But the market expected much more from these companies.
The standard of living in Rome was not surpassed for more than a millennium. Large parts of the empire were at peace for centuries, allowing economy and trade to thrive. Many provinces that were peaceful and prosperous were ravaged by wars, ethnic conflicts, and plagues for many centuries after the fall.
I understand that motive. On the other hand, LLM smell makes the text untrustworthy. I have detected it as well, and I immediately started to wonder about whether I am reading a reasonable expert analysis or just an AI hallucination. I still don't know.
I recommend prompting the LLM to mostly fix glaring grammatical and stylistic mistakes, not to rewrite the entire thing into a LinkedIn post style text.
There are many ethnic Russians in Eastern Ukraine that really welcomed the Russian army. The problem is that the rest of the country is not that happy about this.
Of course mediocre and bad leaders make their mark on history. But Carlyle's Great Men theory is more about paradigm shifts that Great Men can will into existence, not just random noise they bring along. The problem with GM theory is that there is only a handful of examples to support it. Napoleon is one such example, and it was undoubtedly the inspiration why the theory was proposed in the first place. People were trying to come to terms with the fact that one leader can have such a dramatic impact on the entire world.
I find it interesting how slow the spread really was after the initial burst. I am used to think about Christianity as a global religion. But before 16th century it was a pretty regional thing and its position seemed pretty precarious in handful of moments.
The problem is that AI is mostly yielded by the Silicon Valley caste that is as popular as bankers in 2008. People are sick of tech companies that are acting as parasitic as possible.
How exactly would you deploy 10,000 drones? If you start thinking about the logistics of it (you need to store them somewhere, somebody needs to bring them from the storage and prepare them for launch, somebody needs to navigate them, ...), you will quickly realize that you budget is not as big as you would like.
Dataset quality is a huge issue in ML in general. You can often list a few dozen random samples from any given dataset and you will find out something weird going on instantly.
It's like asking what if AWS starts doing it, they have all the infrastructure in place. LLMs are just one cog. There is a lot on the application side they are not doing at all.