AFAIK in the USA cars give directly commands to traffic lights to turn the light green with infra red remote control.

The new system in Finland (HALI) on the other hand works like this:
1. The car receives GPS coordinates from the satellite
2. The car communicates the coordinates, moving angle and information for example about turn signals and hand brake via mobile network to the server
3. The server interprets this information to estimate where traffic lights need to switched and sends commands to traffic lights.

I think that one of the benefits of this system is that it can change lights before the car can see the traffic light.

Source (In Finnish):
https://www.theseus.fi/bitstre...

They can use stretch the robot for loading and unloading:
https://bostondynamics.com/pro...

AGI would be something that can do pretty much everything humans as a group can do. So it could move a robot body as well as humans, it could come up theories in physics like Einstein, it can solve math problems, invent new painting styles like Picasso or write a good and entertaining book. Most likely there is some limit, like doing 500 different things we can measure, just so we can test and verify it, but I think that most people would be happy with the results and if not, we could just add more tests.

Even it could do everything as a single "individual", which is unnatural for humans, it wouldn't be super intelligence, as everything it does would still be something a human could do.

If you enjoy nitpick, there is also Energy Dome from Italy, CO2 storage that can produce electricity.
https://energydome.com/co2-bat...

But it doesn't really matter that much do you store energy as electricity or heat in conditions similar to Finland, because heating consumes so much energy and energy demand is much higher during winter. So less (foreign) batteries are needed when heat storage is used.

It is not like EU couldn't make batteries. For example Finland has several sand and water batteries. Instead of storing electricity, those batteries store heat. It works extremely well, because there are often windy days during the winter when extra wind power is produced. That electricity is used to heat sand or water which is then distributed later as a heat to the homes.

There are studies that show that AI makes better music:
https://phys.org/news/2025-07-...

"in 20% of cases, AlphaEvolve improved the previously best known solutions, making progress on the corresponding open problems.":
https://deepmind.google/blog/a...

That is why they made Frontiermath: https://epoch.ai/frontiermath

A math test for AI, which contains research level problems that have no solutions on the Internet. Currently AI can solve 14 / 48 of them.

Have a look for example what has happened with Frontiermath: https://epoch.ai/frontiermath

GPT-4.1 scored 0%, while GPT-5.2 (Pro) scored 29,2%. That looks like an improvement to me. Especially because those are research-level math problems and you can't find solutions to them from the Internet. And research-level problem means that if you are a good mathematician, you still can't solve those problems unless it is in your specific field.

It is not grunt work that teaches you how to work. I personally started programming simply by doing my own projects. It was no grunt work, I just did what I could and if I didn't know how to do something, I tried to learn how to do it. When I joined the work force, I pretty much continued to do my own projects again. I made a lot of mistakes and I learned from those.

I think we can easily let go of the grunt work, if we just offer the kids a place where they can do those big projects in an environment where they can make mistakes and where they can ask for advice. If they can't play with the real thing, let them play in simulation.

I just checked from two different operators how you autenticate eSIM. They don't send you an SMS, instead you login to their webpage using e.g. your bank account to identify yourself. Then you scan QR code and that is about it. (You will need a WIFI connection.)

So AFAIK there is nothing in the eSIM that mandates the usage of SMS. That is probably just operator specific way to operate.

No. Lump of labor is saying that the amount of work is fixed and I am not claiming that. What I am saying is that there is an upper limit of how much goods a single person will need in specific area. For example most people are quite happy with owning just one washing machine per family, which usually lasts about 8 years. So if we assume population of 8 billion, family size of 4, we need about 250 million consumer level washing machines produced per year. There is no point making much more of them, because no-one would want to buy them. And every time you increase worker efficiency with automation, you need less workers when making washing machines.

Counter argument is that there is unlimited amount of different machines you can make and sell, like TVs or 3D glasses, so workers from washing machine company can just build TVs. But you will still have limited amount of time, how much you can spend with those devices. Sure, you can buy a TV and just let it be unused, but I think people will have limit of how much unnecessary stuff they are willing to buy.

> First off, we don't know if AI and robotics are going to cause even field specific unemployment.

We can be pretty sure that it will happen, because:
1. For most goods, there is a limit of how much of it is needed.
2. Automation will increase efficiency, so less workers will produce more.
3. Required amount of workers for certain good = [required amount of goods] / [amount of goods that single worker can produce with automation]
4. Even if we can invent new products, like hologram games, those products almost always compete with existing products. E.g. hologram games would just take customers from video games and cause unemployment there.
5. In some fields there will be temporarily need for more workers. E.g. health care should be one of these fields as demand increases because the amount of old people increases. But that is only temporary. In the long run, automation will cause unemployment.

I agree with you that retraining won't help much.

What you describe is a software architecture problem. No decent software architect would allow code like that. Most likely the project doesn't even have one, or they have one named as a software architect, but in reality that person is just a normal developer. I have seen that happening multiple times. It is extremely important to pick a good architect for the project. That alone makes determines whether the project costs 100 million or 10 million.

I have been in agile projects that don't have such problems, so I don't think that agile is a problem, nor did you identify anything in your post that would suggest so. But agile can not save a project that is run by incompetent people. You have to have a competent person in charge or you will fail, no matter what methods you use. I have been in water fall projects that manage developers via tickets like you described. It is not agile specific thing, it is a project leadership thing.

I estimated that if I would shave half of the memory usage out of the application, I would have to do that in 8 seconds, including testing to make it worth the cost.