HN user

debatem1

1,762 karma
Posts3
Comments601
View on HN

Relatively rarely, but in some performance sensitive use cases. Mine happens to be fuzzers, where a very cheap fork-like primitive would be a really big win.

There are a lot of slightly different fork-exec-like things in the concept space and it's hard to imagine one approach satisfying them all. IMO it would be interesting to take an approach analogous-ish to sched_ext_ops where you built the rough flow chart of a combined fork-exec, but with hooks built to enable ebpf to change behavior or skip the bits these sophisticated users don't want/need.

The AI Layoff Trap 3 months ago

So you work in one of these fields, right? Hydroponics, homebuilding, theatre construction, pothole repair?

I'm encouraging my folks to try it pretty hard because A) I've personally seen the productivity gains and B) using it is at first deeply weird/uncomfortable. Sometimes you've got to convince people to push through that kind of thing.

For me the "can run" filter says "S/A/B" but lists S, A, B, and C and the "tight fit" filter says "C/D" but lists F.

Just FYI.

As someone who has tried to make several businesses around art, people generally like art but not enough to pay "at scale" money for it.

I hear about meow wolf all the time and I seem to be the only person in the world who thought it was an underwhelming cash grab that is beaten by a half dozen events a year in nearly every major city in the US. Am I just missing some huge piece of it?

xAI joins SpaceX 6 months ago

Possibly, although that article seems quite confused as well (of course they need custom silicon, and of course that doesn't mean anything about what COTS parts they do or don't use). It would be nice if SpaceX would publish more about its compute architecture.

xAI joins SpaceX 6 months ago

SpaceX supposedly mostly runs non-rad-hard parts, the ostensible reason being because its more cost effective to double or triple up than buy specialty equipment. Do you have a source for this?

Project Euler 8 months ago

The biggest thing I learned from PE was that neither elegant theory nor brute force had a monopoly on successful optimization strategies. It's been something I've carried with me ever since and has over and over again proven its value.

A real gem of a resource.

I think there's something to what the author says about the shift from mission-driven startups to naked greed, but I don't think I would have put it that way.

Over the last two decades the startup scene has gone from trying to improve nearly everybody's lives at very low cost to consumers (ad-supported services like maps and email) to trying to improve the lives of the upper middle class with debatable impacts on everyone else (gig economy stuff) to something whose most obvious application is destroying jobs (ai).

That's a pretty quick shift from utopian to dystopian rhetoric, and people who bought the line are right to find that jarring.

Democrats stuffing government bureaucracies with do-nothing jobs for their buddies

Ignoring the partisanship this argument doesn't make sense on its face: government jobs pay extremely poorly. You might say "well what if you hold more than one of them?", but you can't do that: a federal employee can be employed in two different roles, but their pay is capped at 40 hours a week across the federal government.

Anyone keen on that level of grift has vastly better options in the private sector.