kmavm

Crudely? Because you can't grep a sequence of latent states for variants of "If I kill all the puny humans, I can <achieve my current goal>."

Hi, Klaudia and Dawid! Any clue how 4.7 does?

I was an intern at SGI in the summer of 1998, when we shipped the latest minor version of IRIX, 6.5. I worked on a test suite for IRIX's pthreads implementation, and got to ship a teeny, tiny bit of real code that fixed a real-time hold-off in pthread_mutex_t. (IRIX is a hard RTOS, you see.) As things happened, the dot-dot releases of that minor version would be the last releases of IRIX to roll off the software assembly lines before SGI put it in maintenance mode for these last darn-near-30-years.

In 2000, I was the 20th-or-so full-time engineer at VMware, where I worked for 9 years. Then was at Facebook from 2009 to 2016, where I worked on the search backend (now replaced), HHVM (which still runs the Big Blue Application, a shrinking portion of the Meta Empire), and started FAIR in 2015 (which finally seems to have turned around the "open" sign with Yann's departure).

In 2016 I started at Slack as Chief Architect, where I mostly did not write a ton of code. I worked on a job queue scheduler which I would not be surprised to find has been replaced. And after that I was mostly encouraging/advising people doing Real Work.

All of which is to say, it is quite possible that the last code I've worked on professionally that is out there running on customer machines ... is that libpthread mutex bug fix from when I was barely old enough to drink.

It's an easter egg on the website that usually goes unnoticed. It's our first time on the front page of HN, so it's a little overutilized right now. Capital-C clears it.

Amazing. I can practically smell that owl it looks so darned owl-like.

From the article it doesn’t seem as though photorealism per se was a goal in training; was that just emergent from human preferences, or did it take some specific dataset construction mojo?

(Disclaimer: I'm an investor in Krea AI.)

When Diego first showed me this animation, I wasn't completely sure what I was looking at, because I assumed the left and right sides were like composited together or something. But it's a unified screen recording; the right, generated side is keeping pace with the riffing the artist does in the little paint program on the left.

There is no substitute for low latency in creative tools; if you have to sit there holding your breath every time you try something, you aren't just linearly slowed down. There are points that are just too hard to reach in slow, deliberate, 30+ second steps that a classical diffusion generation requires.

When I first heard about consistency, my assumption was that it was just an accelerator. I expected we'd get faster, cheaper versions of the same kinds of interactions with visual models we're used to seeing. The fine hackers at Krea did not take long to prove me wrong!