storytelling in video games peaked in 1995 tbh

blake kathryn
Jules of Nature
The Bowery Presents

tannertan36
đ
cherry valley forever

if i look back, i am lost
noise dept.
h

titsay
One Nice Bug Per Day
art blog(derogatory)

Andulka
trying on a metaphor

#extradirty
ojovivo
Fai_Ryy
"I'm Dorothy Gale from Kansas"

romaâ

izzy's playlists!
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@post-millenial
storytelling in video games peaked in 1995 tbh
This AI is bad at drawing but will try anyways.
There was a paper recently where a research team trained a machine learning algorithm (a GAN they called AttnGAN) to generate pictures based on written descriptions. Itâs like Visual Chatbot in reverse. When it was just trained to generate pictures of birds, it did pretty well, actually.Â
(Although the description didnât specify a beak and so it just⌠left it out.)
But when they trained the same algorithm on a huge and highly varied dataset, it had a lot more trouble generating a picture to go with that caption. Below, I give the same caption to a version of their algorithm that has been trained to generate everything from sheep to shopping centers. Cris Valenzuela wrapped their trained model in an entertaining demo that attempts to generate a picture for any caption.
This bird is less, um, recognizable. When the GAN has to draw *anything* I ask for, thereâs just too much to keep track of - the problemâs too broad, and the algorithm spreads itself too thin. It doesnât just have trouble with birds. A GAN thatâs been trained just on celebrity faces will tend to produce photorealistic portraits. But this one, howeverâŚ
In fact, it does a horrifying job with humans because it can never quite seem to get the number of orifices correct.
Itâs fun to ask it to draw animals though. It knows the texture of giraffes, but not quite exactly their shape. And it knows that boats are on the water, but not necessarily that they are boats.
It also (like many other image recognition algorithms) gets a bit confused about the difference between sheep and the landscapes theyâre found on. Other algorithms recognize sheep in pictures of empty green fields. And this one, when asked to draw sheepâŚ
Thatâs different, though, from asking it to draw *a* sheep. In that case, it knows exactly what to do. It draws the sheep, and then just to be safe it fills the entire planet with wool too.
It really likes drawing stop signs and clocks. Give it the slightest opportunity to draw one, and it will chuck those things all over the place.
Other than its horrifying humans, this algorithm can actually be pretty delightful.Â
Try it for yourself!
I had way too much fun generating these and ended up with way more than would fit in this one blog post. Iâve compiled a few more of my favorites. Enter your email and Iâll send you them (and if you want, you can get bonus material each time I post).
i hate it when game devs put âfixed several issuesâ in patch notesÂ
no. tell me what you fixed. i wanna know what the glitch was.
you know those patch notes that are like âfixed an issue where if the player sat in a bush for too long, theyâd become the size of a skyscraperâÂ
i wanna read those. tell me those.Â
Beglitched is a cool game with cool aesthetics but I fucking hate the rat gambler fucks
like shit couldnât you take my money when iâm doing well? no you have rub it in my nose that i just died by taking half my money
now that i think about it tho.... isnât this the same thing that happens when you lose a pokemon battle
Beglitched is a cool game with cool aesthetics but I fucking hate the rat gambler fucks
like shit couldnât you take my money when iâm doing well? no you have rub it in my nose that i just died by taking half my money
weirdos on github
i have something set up to subscribe to RSS feeds and add them as issues onto a repo. its like a personalized feed of email newsletters.
anyways some dude just showed up on a thread about linusâs comments on speculated execution and i donât actually know this person. nobody comments on my threads (except for one or two times when someone accidentally got tagged; this was not one of those times).
omg they showed up again and linked to tweets lolll who is this person even
Learn C++ in 21 days
weirdos on github
i have something set up to subscribe to RSS feeds and add them as issues onto a repo. its like a personalized feed of email newsletters.
anyways some dude just showed up on a thread about linusâs comments on speculated execution and i donât actually know this person. nobody comments on my threads (except for one or two times when someone accidentally got tagged; this was not one of those times).
If The World Was Created By a Programmer by Sinono3 https://www.reddit.com/r/ProgrammerHumor/comments/7ibcnh/if_the_world_was_created_by_a_programmer/?utm_source=ifttt
on kubernetes
5097.
And they looked at the orchestration cluster they had chosen, and saw that its leader had lost its way; and it watchde the leader fall and a follower take up its mantle. And they saw the new leader fall again to the same follies of the first.
And they asked the orchestrator why it had made deployments difficult within the cluster. And the cluster remainde silent.
And as they partde the cloudes and looked up beyond the mesosphere, they saw a great chasm, filled with Swarms and Nomads and Drifters and Gizmos. And they looked more and saw a great Kube.
Hasât this Marathon ended? Canâte we move our Stack to the Kube? They asked themselves. But their great containers olde and new were chained to the mesosphere. Others had trekkde this path and fallende their Stacks some into the clutches of datacentre.
UI so easy your mum could use it by abadojack https://www.reddit.com/r/ProgrammerHumor/comments/7fgir3/ui_so_easy_your_mum_could_use_it/?utm_source=ifttt
Mental Helpth: a neat story about depression and mental health. By Zach Holman.
cw: depression, suicidal thoughtsÂ
zach holman, ex-github dev: "Therapy basically got me rubber duck debugging myself. Even when Iâm not programming Iâm fucking programming, I canât get away from it, ha. But itâs true: the mere notion that Iâd have to discuss my life with someone else later meant that I became far better at self-analysis than I ever had been."Â
the computer setup of a 24 year old in the year 2001
My current system inventory looks something like this: UNIX machines 1 Sun Ultra 60 2300, 512mb RAM, 2x9.1 gig, Creator3Ds3 1 Sun Ultra 10 300, 512mb RAM, 36 gig UltraSCSI, SunPCI-II, Elite3Dm3, internal SCSI zip drive (not installed yet) 1 SGI 02 R10K 195mhz, 256mb RAM, 4.3 gig, digital video module 2 SGI 02 R5K 180mhz, 128mb RAM, 2.1gig, digital video module 2 Power computing clones upgraded to G3x400, 128MB RAM, 2x2.1gig, 2 ati video (linux PPC) Windows Machines 1 Athlon 800 (OC'd to 968), 512mb RAM, 2x36 gig ultra scsi HDD, GeForce2Ultra 64mb, SBLivePlatinum w/LiveDrive-II, Plextor Ultra SCSI 36x CDROM, plextor ultra scsi 12x4x32 CD-RW, pioneer 16X dvd 1 PIII 700 (OC'd to 931) 512mb ram, 2x80gig, GeForce2MX 32mb (dual head), SBLive Platinum w/LiveDrive, ricoh 12xCD-RW 1 IBM Thinkpad 600e, 256MB RAM, 6 gig HDD, DVD Along with that I have 1 Sun 24" wide screen monitor 1 Sun 20" 20e20 monitor 1 Sun 20" 20d10 monitor 2 ViewSonic 19" monitors 2 4 port Belkin OmniSwitch KVM switches 1 4 port KBS USB KVM switch 2 HP ScanJet scanners 1 Epson Stylus color 600 printer 1 HUGE ass (12"x18")Wacom Tablet 1 small (4"x6") Wacom Tablet 1 JBOD storage array currently consisting of six 36 gig drives 2 Netgear 10/100 switches (2x4 port, 1x16 port) 1 Addtron 11mbps wireless ethernet bridge 1 Nokia IP330 Firewall running Checkpoint FW-1 4.1sp2 There are other random generic PC's , and of course tons of components and equipment that pass through on their way to other people, but that's the current permanent list. In the near future I plan on purchasing the following 1 PowerMac G4 733 DP, 512MB RAM, 2x36 Ultra SCSI, Nvidia GeForce 3 (available mid-summer) 1 Dual processor Athlon 1.5 ghz, 1024mb ram, 2x36 ultra SCSI, Nvidia GeForce 3 (available mid-summer) 1 Some type of workgroup class laser printer 1 Some type of photographic printer 2 SunRay 1 appliances 2-6 large flat panel displays I want the flat panels to replace the current bevy of big ass monitors that use $200 worth of power a month all by themselves, and double my AC bill in the summer (another $200 a month). I think actually I'm going to put everything but the U60 (24" screen) onto a flatpanel. I figure the power savings over time alone will help knock a deep dent in the cost of upgrading.
Evolving Cellular Automata
Another project from Loren Schmidt, this is a rule-generator for cellular automata.
Cellular automata are handy, compact examples of emergent effects. The most well-known example is Conwayâs Game of Life, which is a two-state cellular automata with the rules âB3/S23âł. Cells are Born if they have three neighbors, and they Survive if they have 2 or 3. Other rules are possible: âB36/S23âł, âB36/S125â, and âB4678/S35678â are a few of the more interesting known rules.
This rule generator creates three-state automata, which opens up even more possibilities. It also uses evolutionary algorithms to create the next generation of rules: click on a pattern and get a set of rules similar to that pattern.
You can also save the rules you like in a numerical format you can use elsewhere, or go back to a saved rule and try evolving down a different path.
http://vacuumflowers.com/cellular_automata/rules.html
Programming Resources
Just a list of resources Iâve found across the web on learning how to code. Feel free to leave an ask/submit if you find anything so I can add it!Â
I will continuously add more links so please check back whenever. :)
Keep reading
I find it helpful to think of [machine learning] algorithms as a dim-witted but extremely industrious graduate student, whom you donât fully trust. You want a concordance made? An index? You want them to go through ten million photos and find every picture of a horse? Perfect. You want them to draw conclusions on gender based on word use patterns? Or infer social relationships from census data? Now you need some adult supervision in the room.
Maciej CegĹowski, âDeep-Fried Dataâ (Talk at the Library of Congress, September 27, 2016)
Programming Resources
Just a list of resources Iâve found across the web on learning how to code. Feel free to leave an ask/submit if you find anything so I can add it!Â
I will continuously add more links so please check back whenever. :)
Keep reading