The whole point of having a large, comprehensive database is that it be robust, efficient, amd reliable.
When you introduce an immature, very hyped, untested at scale, other system or software to manage and curate said database, a system that is known to fail at edge cases, and you know your database features a lot of edge cases…
… the results are fairly predictable.
Large Corporate higher up types /consistently/ overlook the valid concerns that are later proven to be correct, which are raised by people in their companies that actually understand the technology their company uses.
This happens time and time again in large corporations where it has become very clear that ego and the potential reward of more profit, outweigh the expertise of the actual people in the company familiar with the technology the company uses, and causes massive, costly debacles.
This happens because, at this point, its clear that a large number of tech ceos and management do not actually know tech or the tech industry, and still operate with the reckless abandon from the ‘move fast and break things’ kind of mentality that /might/ work in a start up, but do not work at all with a larger, more established and mature business, and also more generally this happens in other industries because management doesnt really understand modern technology at anything beyond a surface level.
As a person who has actually worked on different databases and more generally different roles in different parts of the tech industry, and in software related roles in other industries, for around a decade, I have seen things like this happen basically multiple times at every job I have had, though not to this scale.
In summary: I am one of the people whonis responsible for things working smoothly and you not hearing about them, and I am telling you there are many other people like me and most of them will agree that these fuck ups you do hear about happen because people paid 10 to 100 times as much as us do not listen to us.
Sure. But my point is, we don’t know how many companies are using AI where everything’s working fine. We’re only seeing some of the failures, we’re not seeing the successes. So we can’t draw general conclusions from these specific examples.
Lol, perhaps even: lmao.
Huge tech corps fucking up in the most predictable yet also insane ways possible never ceases to bring a smile to my face.
We hear about the instances where they screw up, but we don’t hear about the ones where it’s working just fine in the background.
They’re supposed to work fine in the background
The point was about the many recent stories of companies rushing to use “AI” and the chaos it caused
The whole point of having a large, comprehensive database is that it be robust, efficient, amd reliable.
When you introduce an immature, very hyped, untested at scale, other system or software to manage and curate said database, a system that is known to fail at edge cases, and you know your database features a lot of edge cases…
… the results are fairly predictable.
Large Corporate higher up types /consistently/ overlook the valid concerns that are later proven to be correct, which are raised by people in their companies that actually understand the technology their company uses.
This happens time and time again in large corporations where it has become very clear that ego and the potential reward of more profit, outweigh the expertise of the actual people in the company familiar with the technology the company uses, and causes massive, costly debacles.
This happens because, at this point, its clear that a large number of tech ceos and management do not actually know tech or the tech industry, and still operate with the reckless abandon from the ‘move fast and break things’ kind of mentality that /might/ work in a start up, but do not work at all with a larger, more established and mature business, and also more generally this happens in other industries because management doesnt really understand modern technology at anything beyond a surface level.
As a person who has actually worked on different databases and more generally different roles in different parts of the tech industry, and in software related roles in other industries, for around a decade, I have seen things like this happen basically multiple times at every job I have had, though not to this scale.
In summary: I am one of the people whonis responsible for things working smoothly and you not hearing about them, and I am telling you there are many other people like me and most of them will agree that these fuck ups you do hear about happen because people paid 10 to 100 times as much as us do not listen to us.
Sure. But my point is, we don’t know how many companies are using AI where everything’s working fine. We’re only seeing some of the failures, we’re not seeing the successes. So we can’t draw general conclusions from these specific examples.