Live@NYC: 2 months and a half

So what have been the recent happenings? There are lots of things to tell I guess.

First of all, almost all interns are gone. Of all I knew, probably 15-20, only 2 are left, 3 if you count me. This probably means we'll have to look for new friends to grow our partying group a little bit.

On another topic, I don't have roommates any more. The ones I had moved to a bigger place and I haven't yet found anyone who wants to share this apartment. The major problem is that the room to be rented is, actually, the living room, so it is hard to convince someone to live here. Lack of privacy is an issue for most even if they don't say so right away.

As regards working out, I'm getting way too lazy. It has already been more than a week since I last went running. Will try to force myself to go tomorrow morning again; the food is already starting to accumulate in the wrong places. Somewhat related to this, I've got an iPod Nano 4th generation which, when put together the Nike+ kit, is amazing.

And we have got a "new" addiction at work: Guitar Hero. This game is really nice and we are already playing it on the expert level. However, I wonder if it is any good to spend time learning how to play a fake guitar. I'd rather go and buy a real one, and instead spend my time playing real songs. Let's hope Guitar Rising keeps up with the expectations and is published soon; whenever that happens, I'll definitely get it.

About more recent happenings, I've been in NYCBSDCon 2008 this weekend giving a presentation on ATF. We'll have the video recordings posted out soon, so be sure to check them to learn some interesting new stuff. It was also a good way to meet well-known people in the BSD world such as, for example, Matt Dillon and Dru Lavigne.

As regards work at Google, my project is starting to have decent shape, which means that it actually works! During the next month, I'll have to extend it to some new areas, and that's a bit scary because they'll involve processing vast amounts of data in an efficient manner. (At the moment, the data set is not big enough to really require tuning the code.)