> web search sucks because it has to be profitable, and the profitability comes from making it suck. That's not true today for AI tools, but it will be in a few years.
Many people pay to use _AI tools_, that already brings in revenue. I had chatgpt plus since very early days, which was 20$/month, I don't have it at the moment because my company provides pro plan to me (and every other engineer) which is probably around 200$/month/user.
Of course, serving a single inference on LLM's probably costs a lot more than a serving a single search on google, but they've already got a solid business model and they won't need intrusive adds _in a few years_ (if at all)
I started my career as a backend developer and did a fair bit of frontend development as well. However, I'm solely doing infrastructure engineering for the last 6-7 years.
I think you are kind of mistaken here, as a _devops_ I never enforced our development teams to use docker, or another specific tooling. The thing is, software engineering become a whole lot difficult and complicated over the years. When I was first learning web-development 15 years ago, notepad was the only thing you needed to do web-development, now look what you need to have to have a simple CRUD app running locally. Setting up local environments become so much harder, so people found the answer within the containers as you set it up once and you can share it within the team easily. Please do not blame _devops_ for that.
You don't have to run your app via multiple docker images locally, you can still configure everything to work natively. It's just way more difficult because of the dependencies of modern technologies.
According to the article [1] - App store made 11.5 Billion $ revenue in 2017. That's like 30 million dollars per day. I'm not even going to argue that you need such money to maintain a static binary distribution platform.
Many people pay to use _AI tools_, that already brings in revenue. I had chatgpt plus since very early days, which was 20$/month, I don't have it at the moment because my company provides pro plan to me (and every other engineer) which is probably around 200$/month/user.
Of course, serving a single inference on LLM's probably costs a lot more than a serving a single search on google, but they've already got a solid business model and they won't need intrusive adds _in a few years_ (if at all)