RPKI makes prefix ownership verifiable, but the path is still largely trust-based.

It feels like we’ve secured the part that’s easiest to validate, not necessarily the part that matters most.

Feels like in 3D you can move continuously and build intuition.

But in 4D there isn’t really an equivalent control, so it ends up feeling more like toggling something you don’t fully understand.

Most people won’t look at the structure, they’ll just internalize that OpenAI is massively funded.

That effect kicks in well before the money actually does.

Yeah, frequency and importance are different signals.

This works well for deciding what stays nearby, but not necessarily what to get rid of.

Something like a toolbox or a charger you rarely use might only get a few dots, but when you need it, you really need it.

IT is still a signal because you only need to look at things with few dots. Maybe that charger is for something that broke years ago and you can get rid of it this time. Meanwhile you don't even need to ask about the boxes of things you use often but don't think of (nor do you confuse them for the boxes of almost the same thing you never use)

Drift feels inevitable here. AWS keeps evolving, so any local emulator will eventually diverge. At some point it’s more about how much drift you can tolerate than missing features.

I think the issue is less attribution and more review mode. If I assume a change was written and checked line-by-line by the author, I review it one way. If an LLM had a big hand in it, I review it another way.

That’s what makes it feel off — not the ads, but the loss of control.

If something can change your PR without you explicitly asking, that’s where it crosses the line.

The failure mode here seems less about capability and more about interaction. Language turns coordination into a moving target.

Looks like a model size issue, but the behavior already seems largely shaped by the data distribution.

I feel that the tricky part now is you can “learn by doing” without ever knowing if you’re doing it right. You get something working, but your mental model can be completely off.