Actually this is pretty widely studied at this point. It is one of the reasons that AI companies have pushed for marking AI generated content. At the most basic level LLMs are probability models where they predict the next most probable word given what has come before. If you think of it like a gaussian peak they are trying to select near the peak. If you train an LLM on the output of an LLM you are training it on just the peaks and you get a kind of focusing effect after only a couple generations and the model collapses.

It turns out you need the low probability information to keep the model stable and it can't generate that information.

They start and kill projects so fast that it has hurt their ability to actually make new projects. They will make project X, claim this time they won't just kill it, that you should adopt it and a year maybe two later it is dead. At this point I am better off with Microsoft. Their stuff is more likely to be supported long term such that by the time I finish building my project the tools will still be supported.

Most of the good jobs are in companies that are not tech companies. For instance I work on computer models for making manufacturing medicine. I am paid well and I work normal working hours. I am not pushed to work more and there is a large interest in making sure the work done is correct.

There are many such jobs at various companies. However, you do need to have good math skills.

It is absolutely true that most of the companies pushing GMOs are quite evil. And while there are some things you could do to create problems like putting the protein in peanuts that people are allergic to in something else in practice that is not an actual issue. There are databases of all known allergens and it is pretty simple to check against them before you insert some custom DNA. And while you are not completely impermeable to the DNA of the food you eat it is close enough and it is not like the fish dna that codes for a protein that lowers the freezing point for water put in a tomato is any different than getting it from a fish.

Native country folk around Paris take the train. It is cheaper and faster and you don't have to deal with parking.

I am living in a small town in Germany right now. I came to Germany for a master's and phd. I have a 5G connection on my phone right now. Actually, almost everywhere I have gone in Germany I have had a 5G connection.

The GDPR applies to their citizens because other companies would just ship the data outside the EU and say the laws no longer apply. You can't do that with any other kind of company. If you want to sell to people in a country then you need to abide by that countries laws.

I agree with you mostly. What I do like is GMO to make a crop able to be grown locally without chemicals. For instance in Colorado it gets too cold at night for tomatoes most of the year. They freeze and die and that means tomatoes have to be imported quite a distance. However, a GMO tomato was created that adds a tuna protein to prevent freezing. It means the tomato can be grown locally and massively cuts down on environmental damage while posing no risk to people.

There really is no mechanism for GMO wheat to harm you. Think about it for a few seconds. If we absorbed DNA from the food we ate into us we would not live very long. Our stomachs break down DNA into base molecules and that stuff is specifically blocked from passing through the colon.

In Finland they are planning to use the tech we use for deep bore drilling to drill some shafts straight down about a mile, drop the waste down the hole and seal it up with concrete. The material is less radioactive than the surrounding rock and basically impossible to get to which makes it quite safe.

I had a physics professor that used to joke that you may not believe in gravity but gravity believes in you. No matter how strong your belief is when you jump off a cliff you are not going to float into the air and are instead going to slam into the ground.

I never mentioned anything about a conspiracy theory at all. I know cloud seeding exists. Clouds reflect quite a lot of energy. If read a paper at one point that if we do cloud seeding on a larger scale we can reflect away more of the suns energy. However, without also basically eliminating greenhouse gases it won't do much.

I just don't think people actually care very much. They say they care but I don't believe they actually do. I don't think we will actually do what is necessary to fix the problem because so many want their tax breaks and private jets. Just the idea of walkable and bikeable cities gets people upset. We even have states passing laws to prevent cities from becoming more biking and pedestrian friendly because people that don't live there don't want that to happen.

This is also why there are ideas to seed the atmosphere with more clouds to reflect away more of the energy so that we can cut the positive feedback cycle for water vaporizing. If we combine basically eliminating the production of greenhouse gases and reflecting energy away we can probably fix things.

1) We won't actually fix anything
2) It would be VERY expensive
3) People would prefer to die than have to pay to fix the damage
4) Billionaires would have to go, things like private jets put out more pollution in a few days than you will in a year

We are spread all over the world and work together to build computer models. Productivity is great and keeps increasing as we continue to improve practices. Nobody has any intention of returning to the office.

We are not having any trouble bonding to the extent necessary for coworkers.

I write engineering and scientific software and due to dealing with modelers it is easier to use Python that most other languages. Multiprocessing works but there are many algorithms that it just doesn't work on very well due to the overhead of copying objects across process boundaries.

I am really looking forward to these changes. I can make the code faster and easier to understand.