oh you grew up watching tiktok? i grew up searching for aliens
@valkyrie Tbh they probably saw all of our TV and radio shows and shielded all of their electromagnetic radiation towards us so that we can't detect them...
@valkyrie omg the nostalgia 🥰
@valkyrie I still wonder if they found any
@valkyrie Why go to the trouble of searching when you could simply Naruto run into Area 51?
@valkyrie SETI @ home was a waay better use of energy than ai!
@valkyrie I was sad when the project wound down. I remember installing it on my family computer when I was in middle school. I ran it all the way up to the end.
@adam me too it felt like the end of an era and part of my childhood that made me dream bigger than my small town
@valkyrie I grew up watching defrag.exe ...
@PypeBros and listening to the music of the hard-drive clicks during defrag
@andreitorres if my brother wasn't around with ScreamTracker III tunes on K7 ... quite likely.
@valkyrie or trying to crack RC5 on Amigas ❤️

@valkyrie I know some people who searched for aliens. They had a cast-off dish (inherited from Philips I think) in the garden (three or four metres?) and a rack of electronics analysing the signal in real time.

They had to remember to turn off the bleeper when they had party guests crashing on the floor, else the false positives work them up in the middle of the night.

@valkyrie I did folding@home on my dual athlon MP 1800 rig and was scoring serious points
@valkyrie
Good old SETI@Home! Brings back some great memories!

@valkyrie aw, maaaaan, I recall testing #SETI for #BeOS in 199... uh... no, 2001... no, 2002....... uh... I'm ... uh ... old.

( http://www.bebits.com/app/813 )

Cc @Kancept

@valkyrie it was only 5 years ago they stopped sending out work to boinc, which is something I learned today.
@valkyrie ... nowadays I'm looking for foldable proteins ... but before there were the aliens... ​
@valkyrie now this is the content I'm here for ❤️

@valkyrie

My SETI@home stats:

Total credit 39,577,723
Recent average credit 62.55
SETI@home classic workunits 250
SETI@home classic CPU time 3,231 hours

@Theramansi @valkyrie I can still log into my account! 😀

34 classic work units
1610 hrs classic CPU time

@valkyrie I could crunch so many seti blocks now...
@valkyrie @atax1a I remember setting up multiple computers to help with that!

@valkyrie

How old were you when you joined ICE? 😉

@valkyrie I'm feeling nostalgic now. I had two computers at home working with the seti@home program back in my college days in the 90s.
@valkyrie I think about this memory every single time I see the crowd-sourced [protein] folding@ home or even crypto mining.
@valkyrie Also: folding proteins
@valkyrie Hadn't thought about SETI in a long time. I used to have 3 desktops doing this at work and one at home.
@valkyrie I remember that one. Also Folding@Home which is apparently still an active project!

@valkyrie

I remember running SETI on Solaris back in the day. Long time ago. What a sight for sore eyes. Wow.

@valkyrie Oh, I left SETI running on my computer for years. All that down time used for a good purpose. 😃
@valkyrie That brings back some *memories*.
@valkyrie That's a fine hit from the nostalgia bong. I remember seeing all the computers in the Lab running this. It was a beautiful sight. Right up there with flying toasters.
@valkyrie "source: arecibo radio observatory" RIP
@valkyrie I ran distributed.net instead. :)
@kuoirad @valkyrie Same. I got a talking-to by the chair of the CS department at school for running it on a bunch of their shell servers. Then later he hired me as a student sysadmin to replace the knucklehead that was previously filling the role and who had reported me, so it all worked out.
@valkyrie @nina_kali_nina Did you find any alien bitcoin?

@nina_kali_nina @valkyrie 😏

I deep-dived into the “final results” after they decommissioned it (after all, I contributed lots of CPU), and I think there were a dozen candidates sent for review — with no further news

But the retirement of distributed processing was also fascinating — I think it became “too much data” which is ironic, because it was supposed to scale up for exactly that; but it was the transport of the data that was harder at “very” large scales, surpassing even the challenge of processing it

So in a weird summary:

- Small data: trivial to move, easy to process local

- Large data: takes work to distribute broadly, but more viable to process distributively

- Very large data: impossible to distribute, but recently viable to process on-site or multi-site

So what it reminds me of is ARPANET, the academic networks predating the public internet

@valkyrie I miss this so much :')
@valkyrie @SnoopJ Welp, that’s a nostalgia hit all right…
@valkyrie my uncle was in charge of that program!!
@valkyrie @bigzaphod ::gets catty about folding@home:: (;