nateroling

I really love the ideas here.

I also wonder if this kind of workplace is a myth. Maybe every business really is a disaster if you look close enough. Or maybe it does happen, once in a while, where a company really hits their stride, but it’s essentially random when they do.

Or, maybe I’ve just been working in disasters too long and I’m cynical, hard to say.

No, I think I he’s saying that we have that, and we should use it more.

AlphaGo uses discovery when it evaluates potential moves and iterates.

Claude Code uses discovery when it generates a script and the evaluates whether it works or not.

He’s saying we need to allow ai systems to do the evaluation and iteration themselves for science and engineering the same way we do for code.

Basically, harness engineering for engineering.

I’ve bounced off of LazyGit multiple times because I never figured out how to make it play nice with a light theme terminal.

I haven’t used dark mode anything for years. I set my monitor so it’s roughly as bright, or slightly brighter than, a piece of white paper.

No more flash-bangs when some website doesn’t support dark mode.

Instantly crushed that there doesn’t appear to be a phone app for this.

This is on the cluster level, while the article is talking about the database level, I believe.

I mean that when a computer can visually understand a document and reformat and reinterpret it in any imaginable way, who cares how it’s stored? When a png or a pdf or a markdown doc can all be be read and reinterpreted into an infographic or a database or an audiobook or an interactive infographic the original format won’t matter.

Seeing the Gemini 3 capabilities, I can imagine a near future where file formats are effectively irrelevant.

This made me do a double-take. Surely you would never do this, right? It seems to be directly counter to the idea of being able to audit changes:

“Event replay: if we want to adjust a past event, for example because it was incorrect, we can just do that and rebuild the app state.”

Can you write a prompt to optimize prompts?

Seems like an LLM should be able to judge a prompt, and collaboratively work with the user to improve it if necessary.

This, but for many things.

Paint is ready at the hardware store Table is ready at the restaurant Construction is done on a bridge

All kinds of things that we need a one-time notification for.

Looking at the trees in the background of the first photo, it’s clear he’s using a longer focal length on the non-iPhone.

He has some good points, maybe, but in general it’s a pretty naive comparison.

I don’t think control center actually uses the liquid glass elements. They don’t respond to accessibility options like reduce transparency, for one thing.

Fine-grained reactivity (ie Knockout) was a thing well before React. If anything, React was a response to the deficiencies of fine-grained reactivity.