You need to understand that these models are provided by the corporate entities, they are expensive to maintain, iterate and run. There is still no strong correlation between the use of AI and the business outcomes so there should be a real ceiling to how much enterprises would pay for tokens. The gov is a usual choice to establish contracts and get some stability, similar to building nuclear reactors or military equipment. And posturing about limiting model access is just saying it is expensive to subsidise its use for cat image generation or call summaries.

I am pretty sure we have not found the killer app (like an IDE even) for us to extract all the possible value from the models yet. I would even go as far as to say that the synthesis between a human and AI could leverage average models to achieve a lot more compared to the model/agent working on its own.

edit: Just to add to this, I am going through Mythos scans and it is not perfect, very much similar to what pentesters would do with the added bloat of noise in reports about nonissues.

IMO it is a bit arrogant to assume it is more important to engineer a better version of a thing rather than make money quicker and cut corners. In essence it is better to have a problem which is about how to scale a new product because it got traction rather than solve a problem how to sell more copies of already scalable thing.

But on the other side what I miss is some explanation if forensic analysis helps here? Presumably the messages stay on a phone and you can recover them. If that is the case then it should be enough to fight the crime, i.e if you get a warrant to access the device then you can access messages, which I believe many would agree is fine.

An example of a new feature in the company goes the following way:

- some request is raised by person1

- PR is generated with an "agent" by person2

- PR is reviewed using an "agent" by person3

- feature is merged and shipped

- person1 is happy and records a video with a feature to be shown to the clients

- in a next call with the leadership this feature is declared as a success

It all looks good until you look at the implementation, not only that there is very little time to intervene. I find myself recently trying to quickly review PRs before they get quickly merged, just to be on a safe side as people do not even look at the code.

it is an interesting stat, but it might be good to understand the diff among US folks getting passports vs residence permits vs studying

As mentioned digital ids are a thing and this is where everything is moving. The author mentions that it would be great to use it but does not believe it is possible and then says age checks will lead to it and it is bad. There are reasons why digital ids will be forced and one of the big ones is because bigtech companies do not want to invest into looking after the content, e.g. misinformation, bullying, etc. Not to mention the inability of companies to control the age of users, and everyone knows this is not in the interest of advertisers.

Criticism is good but it also has to offer some options. Saying everything is bad bad does not help. All in all I have kids and it is very difficult to filter all of their internet traffic and I am not your average parent. Kids are reading crap and get brainwashed everyday, and the idea that you should just let them is ridiculous. Cyber bullying is a thing and I wonder what would you do when your kids get to be on the receiving side.

IMO this is trying to blame politicians who represent their electorate who wants this without acknowledging that the issue is in huge ad funded companies whose interest is to gather all that private data without any supervision or filtering. BTW Data is constantly being leaked from large companies as well, not only gov entities.

In relation to guesstimates the author jumps to possible conclusions without sufficient proof.

What would the author suggest to fix the main issues though?

But their own failure is the fact that there is a limited way to configure it with other models, think 3d modelling and integrating 3d apps on a VM to work with. I believe an OSS solution is needed here, which is not too hard to do either.

What truth is it that you cannot say in Europe? You can say pretty much anything and be critical and nothing will happen to you. And if something happens there are instruments like European court system which you can use to fight your case (there is no need to be rich for that).

> Engineers spend more time writing specifications and models, designing systems at a higher level of abstraction, defining precisely what systems must do, what invariants they must maintain, what failures they must tolerate.

We do that already and the abstractions are very high. The other part is about knowing what the system is supposed to do way in advance, which is not how a lot of engineering is done because it is an exploratory problem. Very few of us write crypto or spend much time in a critical piece of code. And most importantly no user ever said if the software they buy is using proofs. Just like security these concerns are at the bottom of a barrel.

By and large MS problem is that our world gets fragmented and you need to have products that adapt, eg great firewall in China, strict data residency in Europe. It is difficult to achieve that without segmenting your products as well.