I changed the title of this post from “obsessive” to “avid”. I love chewing gum. I have a sharp jawline, which I attribute to this habit. I also sometimes have jaw pain, which is likely attributable to this habit as well. I’ve leveled up my chewing game, though. No more artificial sweetners or gums flavored deliciously like apple pie or root beer. No, I’m an adult, and when I want an adult chew, I go for the obscure (to most people in the U.S.) Turkish gum that’s modeled after chewing tree sap. That gum of course is Falim.
Falim gum comes in a wide variety of flavors that actually all taste the same. I can tell them apart, but at this point I’m the sommelier equivalent of a Falim connoisseur. For most people new to this brand, you’ll probably notice an absence or vacuum of taste with subtle but comforting hints of masticated cardboard. Reading the negative reviews of this gum on Amazon is entertaining because people new to Falim all seem to have this reaction. The positive end of the review spectrum is a healthy mix of people who’ve stuck it out with Falim previously, people with dietary restrictions, and body builders trying to get that effortless ripped jawline look.
One detail that I haven’t seen broadcast is that Falim is actually really terrific for blowing bubbles.
When it pops, I sometimes get the gum stuck on my eyelids and eye lashes. Have I mentioned yet that I work from home permanently? Pretty sure my coworkers wouldn’t miss this.
Ok. I actually wrote this blog post in the middle of the night on a scrap of paper. I think it still counts even if I didn’t post it until now.
I go through phases of poor sleep hygiene, and I’m in the middle of a nasty one now. To me the phrase means disrespecting my bedtime and instead falling asleep on that wonderful mistress, the couch. I’ll wake up some four hours later and stumble upstairs, where I’ll brush and floss and retire to my actual bed. Now fully awake, I’ll lie in bed with my mind wandering among subjects, a return to sleep at least an hour down the line. The next morning I’ll awake more tired than usual, as the night before I split my REM sleep in half and probably cut an hour out of the full duration. This inevitably leads me to another sleepy evening at the sweet bosom of the couch, the act of walking upstairs and brushing my teeth too onerous to give honest thought, thus continuing the cycle. To break this cycle and return to a good night’s sleep takes will power or some other external force like a townie cat fight outside that’s too riotous to ignore. And so I lie here in bed tonight, praying to the god of my life, the couch, begging it to release my soul from its coffers and return me to the land of the restful sleeping.
I spent some time this weekend feeding a recurrent neural network (torch-rnn) a dump of Urban Dictionary definitions that I found posted online. Once you train the neural network on a text corpus, you can ask it to generate a block text based on the rules it learned. Janelle Shane over at aiweirdness.com leverages this or a similar nn to great humorous effect. Maybe I’ll write a more technical post later to explain how it works behind the scenes. I’d have to understand that myself first.
I chopped the corpus in a few different ways in an attempt to get better results, but I never quite got it past the gibberish phase of training. The base idea is just feeding in the words themselves, sans definitions, and seeing what the nn makes of it. Here are a few I hand selected from its generated output:
These would all be better if the nn generated definitions for each, but when I included the definitions in the training set, it just spit out effortless nonsense.
The kernel of what makes Janelle Shane’s work so fun and interesting lies in the anthropomorphizing of the rnn. We ask it to do something, and then when it does a terrible job at it, we can’t help but say “Oh computer, at least you tried to understand humans.” With this in mind, I decided to try one more thing before hanging this up for the day. What if I isolated just the definitions that were sex acts and fed them into the nn? Would the computer come up with something sexual that humans have never considered?
A sex act involves the felled-umbing this imerican inserted it
I spend a lot of time in front of a computer for my job and in my free time, and I’m pretty obsessed with ergonomics and movement. I’m worried that a generation of people will suffer in the longterm from repetitive stress injuries developed through years of hunching over their laptop keyboards. I have a couple videos on youtube outlining some of the experiments I’ve run in split keyboard placement, and the picture above represents my first portable design. I’ll outline my thought process and construction of this one in a future video.
The rubber band is functional and aligns with my signature aesthetic theme of “middle school shop class”.
I’ve restarted this post a couple times because I’m not really sure what I should write about. It’s probably better not to overthink this.
My grandfather’s 96, about to be 97 next month. He served in World War II, but he didn’t see combat due to luck and a family friend who was in charge of deployments. My other grandfather also served in WWII, and it’s my understanding that he was in combat and worked on or flew in gliders. He died before I was old enough to know him.
I was thinking about the recent and despicable spotlight on white supremacists and Nazis in the country, and the loathsome politicians who refrain from condemning them. Would it make any difference to these politicians if someone interviewed the remaining WWII vets and established that “Yes, after over 75 years, we still hate Nazis, and you should too, goddammit”?
I tell myself not to wait for holidays or birthdays to establish resolutions, even though a lot of people do. My opinion is if you really want to start something, just start it, right? I turned 35 yesterday, and despite that opinion, I’d decided it was finally time to start a routine of writing a blog post every day. The good news is that I failed to start writing yesterday, so my resolution’s starting today, which is just your average Thursday.
On the advice of my friend Nader, I recently bought a zoom lens for my camera. I have a Nikon 1 V1, which is an 8 year old compact camera with a 1″ sensor. It’s more than a few rungs down from a DSLR, but it suits me because I don’t know what all the buttons do on one of those things.
I’ve never really had a zoom lens, so I was excited to snap some photos of birds on a recent trip to Florida. On my return home, I passed this one over to Nader for inspection.
Nader’s plugged into the social media scene, and he quickly suggested a tweak to appeal to more followers.
I’m not really on social media, but I have a pretty good idea of what the kids are into these days. I ran with Nader’s iteration and made this:
Maybe a little on the nose, but I’m pretty sure that’s what the kids want. Nader said he’d follow that account.
I started this blog last month with the intention of forwarding my career by writing about topics in the fields of UX and machine learning. I didn’t write a post for a month and a half, a stagnation that’s maybe a fine analogy for my career. A better use for this blog is any use where I actually write, so I’ll open this up to whatever’s on my mind instead.
The purpose of this blog is to chronicle and explore the emerging relationship between UX and machine learning. I envision this as the next big leap in the field of UX, crafting experiences and interfaces that serve the user more as a collaborator than as a tool.
In the coming posts, I hope to document the current research and emerging trends, distilling out the potential in the union of these two fields.