zellyn

I remember reading Project Gutenberg email updates from Michael S. Hart in the mid to late 90s that were famously formatted like this.

It’s not too hard if you try, once you get in the groove :-)

Disclaimer: I work at an AI lab [edit: but speak for myself :-)]

The value proposition is an average of 270 commits a day, for $4000/month, and the dramatic improvements to the game Yegge described. Even supposing 2/3 of them are burned on the scaffolding, 90 commits/day (assuming they’re of mostly good quality) would cost multiple engineers, one of which would cost much more than $48k/year.

As another comment said, the ultimate proof will be in the pudding. But I don’t think the value proposition claimed is complicated.

re: the control points having areas where the curve is unresponsive. IIUC, whereas the control points of a Bezier have direct meaning, this is an attempt at a sensible/usable mapping of synthetic control points to the curve? Which presumably means it could be made much better with some work/exploration? Or did I misunderstand that part?

Yeah, I found hundreds surprising (although not on reflection).

The one that comes to mind is how big your hash maps have to get before all the clever algorithms beat linear scan, and it's surprisingly large on modern computers: linear memory access is _very_ predictable.

The Roc and Zig folks probably have actual numbers.

Anyone know if they’re using the native camera resolution for the zoomed part or doing sensor fusion to get better quality than either alone?

Drone defense? :-)

When I learned (Common) Lisp at Georgia Tech in the summer of 1995, we were encouraged to make as many functions as possible purely functional, and if mutation was needed, to try to hide it within the bounds of a function.

So while Lisp may not be purely functional, the culture hewed that way.

I find it endlessly fun that one of the best environments for playing with befunge is written for the zmachine.

Any suggestions on which of these are usable? justwatch.com used to be amazing, but it's increasingly getting enshittified: they seem to be intentionally making their presentation _less_ clear so they can show ads for "similar content available on…" :-(

In my experience, during the phase where you scale up and move from interpreted to compiled code with microservices, someone inevitably benchmarks protobuf vs JSON, and protos come out ahead.

Also, using it as a schema doesn’t totally suck. There are others but proto is… fine.

I have lots of opinions, but don’t feel like spinning up to a full rant here :-)