Grant Harvey

Because it knows what it can and can't do without permission.

And as far as the policy checks go, is that something that you built into the harness itself?

Like it's like a hard check or is that something that the LLM is like having to remember and recall to do itself?

Great question.

A hard check.

What's the phrase we heard recently, Corey?

Toddlers with machine guns.

That's LLMs.

That's so awesome.

As far as my personal experience, I have found that Gemini has the longest context window where it can stay lucid or coherent.

I don't know what the right word is, but it can pay attention to details for the longest amount of any of the other AI models that I've tested.

So what's the limit for how big your plan file could get or how big your code base could get here?

Is it a million tokens?

Is it two million?

Where does it lose track?

Yeah, exactly.

Corey just made a whole video about this.

So like you got to be really strict with your prompts and everything.

Basically having down detector bot, which basically is always checking if it's down and then if down, it'll fix it.

We read this really interesting paper recently, I think it was from last October, called RLN.