Why would anyone use 200M model when 1B model is available? The company increase its bet with each iteration increasing risks. It blow up at some point because it cannot guarantee 2B return after 1B investment.

To GAAP point - 200M or 1B or 10B is not a loss but cash converted into an asset. It won’t affect the bottom line at all. Unless the company re-evaluates the asset and say it now cost 1M instead of 200M. This would hit the bottom line.

>My server was up for 3.5 years with no outages because I just didn't touch it.

Problem #1 keeping OS current. Chances are you run an outdated OS with some RCE vulnerabilities.

Problem #2 setup is hard to scale organizationally. How to give access to the server to other people? How to monitor what they do? How to replicate server setup across teams and keep it in sync? So on and so forth.

In an org. something always change, and you have to touch servers as a result.

What in EVM smart contracts prevent any of this?

Why not build it on top of EVM?

> You don’t give detailed prompts. You give objectives like “Refactor the API layer for scalability and update all related documentation.” The AI agent then plans, executes, tests, and reports the results.

lol, I wonder if the author (if there is a human author behind this) ever tried this in production. I did multiple times, never worked for me. All it did is produced a tone of spaghetti code and lots of overlapping tests with medium coverage. I’ll be fine with it if I could use AI to evolve this code without ever reading and understanding it. But we are far from it as of today.