Amsterdam-based designer Robert van Embricqs wanted a new desk that let “the user to fold that desk away when work is over” and created a now-viral piece that seamlessly transforms from office to artwork.
“Flow Wall Desk” features flush vertical slats that twist and unfold into a tabletop.
I had a great time meeting many of the voice actors for a bunch of famous Valve games at PAX Seattle. Most them were/are Seattle locals and still work extensively in the area. Here were some of the getting started resources they mentioned during their talks (and some of them teach at these locations too) for those interesting in becoming a voice actor:
If you want to read some epic nut-ball theories that put the average tinfoil hat conspiracy theorist to shame, you don’t need to go much further than the average Stanley Kubrick movie analyst.
There’s a lot of modern movie critics out there that believe that movies can mean whatever you want them to mean – and boy do people make some tenuous connections. While relativist interpretations are the most popular logical fallacy in our post-truth world, I would argue that approach is nonsense – and now we have a little more proof from a director most often cited by critics as supporting their nutty interpretations.
Stanley Kubrick’s movies are often multilayered and difficult to comprehend, but it turns out he absolutely did have a message for each of these movies. He does, however, say that he is reluctant to reveal his interpretation: “I tried to avoid doing this ever since the picture came out because when you just say the ideas, they sound foolish, whereas if they’re dramatized, one feels it.” That part I very much get. The experience of something is far different than logically thinking about it.
So what were his intended meanings?
The meaning of the ending of 2001 – This one is NOT hard to interpret. Why? Because Arthur C Clarke wrote the book the movie was made from and very clearly lays out what is going on visually. Personally, I think a lot of the reason the movie 2001 was so confusing was due to effects limitations Kubrick struggled under. I bet we could re-do the gate transport sequence today and make it much more amazing and clear what’s going on. But anyway, here’s what Kubrick said about the ending of 2001:
“The idea was supposed to be that he is taken in by godlike entities — creatures of pure energy and intelligence with no shape or form, and they put him in what I suppose you could describe as a human zoo to study him. And his whole life passes from that point on in that room, and he has no sense of time, it just seems to happen as it does in the film.
“And they choose this room, which is a very inaccurate replica of French architecture, deliberately so inaccurate, because one was suggesting that they had some idea of something that he might think was pretty but weren’t quite sure, just as we aren’t quite sure what to do in zoos, with animals, to try to give them what we think is their natural environment. And anyway, when they get finished with them, as happens in so many myths, of all cultures in the world, he is transformed into some kind of super being sent back to Earth. You know, transformed and made into some sort of superman. And we have to only guess what happens when he goes back. It is a pattern of a great deal of mythology. And that was what we’re trying to suggest.”
The ending of the Shining:
“Well, it was supposed to suggest a kind of evil reincarnation cycle where he is part of the hotel’s history. Just as in the men’s room when he’s talking to the ghost of the former caretaker who says to him, ‘You are the caretaker. You’ve always been the caretaker. I should know. I’ve always been here.’ One is merely suggesting some kind of endless cycle of evil reincarnation, and also — well, that’s it. Again, it’s the sort of thing that I think is better left unexplained, but since you asked me, I’m trying to explain.”
But you don’t have to take my word for it, we have it recorded from Kubrick’s own lips:
They start with some simple AI image generation and move on to more and more complex examples that includes a brief introduction to some key parameters, changing and including broader image sources, and then generating various famous artistic styles.
They finish out the intro with some links to help you learn more:
Lexica — a repository of images generated using Stable Diffusion and the corresponding prompt. Searchable by keyword.
Stable Diffusion Artist Style Studies — A non-exhaustive list of artists Stable Diffusion might recognize, as well as general descriptions of their artistic style. There is a ranking system to describe how well Stable Diffusion responds to the artist’s name as a part of a prompt.
The AI Art Modifiers List — A photo gallery showcasing some of the strongest modifiers you can use in your prompts, and what they do. They’re sorted by modifier type.
Top 500 Artists Represented in Stable Diffusion — We know exactly what images were included in the Stable Diffusion training set, so it is possible to tell which artists contributed the most to training the AI. Generally speaking, the more strongly represented an artist was in the training data, the better Stable Diffusion will respond to their name as a keyword.
The Stable Diffusion Subreddit — The Stable Diffusion subreddit has a constant flow of new prompts and fun discoveries. If you’re looking for inspiration or insight, you can’t go wrong.
Remember old-school movies that were damaged, in black in white, and everyone ran around at 2x speed? With AI processing, they can fix many of those problems. Olden Days youtube channel has a number of great restored videos like this.
Amazing to see that when fixed, this looks just like a snowball fight one might see today – proving that we aren’t all that different from the people of our past as we’d like to think.
Here’s some great links to find interesting and fun things in Portland.
Theater
Portland Theater – Despite the name, this is probably the best list of all upcoming theater shows, music concerts, and other events coming to Portland.
The Old Church downtown Portland that hosts lots of free lunchtime and afternoon concerts
Here for Portland – Website with a list of local events created as an attempt to repair the damaged reputation of Portland after the riots and homeless crisis downtown.
Secret Portland – This site has a bunch of sister sites for other major cities that covers unusual and interesting local events, shows, and artistic events.
Axios – Has a good list of weekend fun, events, festivals, etc.
NearHear – Website that locates bands playing near wherever you are.
Early cartoon animators at Warner Brothers of the 50’s were considered part of the golden age of American animation. As it turns out, the animators were often pretty astounding, well versed, well trained, and groundbreaking artists in their own right. They often make references to many famous and popular styles of art.
The Looney Tunes Background Instagram account has a fantastic collection of these backgrounds. I find browsing the minimalist backgrounds from the cartoons reminds me a lot of one of my favorite painters Edward Hopper. And there’s a good reason for that.
He points out the fantastic set of design rules developed by Maurice Noble. Noble started at Disney which focused on realism. They even used rotoscoping to get movement as perfect as possible. Noble went the opposite direction when he left and joined Warner Brothers. He created a new set of design rules where the background art becomes part of the distorted and comical setup for each scene. He’s probably most famous for What’s Opera Doc? in which Elmer Fudd hunts Bugs Bunny in an lampooned opera. Hawley Pratt, Robert Gribbroek, Paul Julian, Richard Thomas and many others contributed to these fantastic artistic developments at Warner Brothers as well.
Disney published this paper about using AI to digitally age and de-age actors in a fraction of the time it usually takes for normal frame-by-frame manual aging techniques used today.
FRAN (which stands for face re-aging network) is a neural network that was trained using a large database containing pairs of randomly generated synthetic faces at varying ages, which bypasses the need to otherwise find thousands of images of real people at different (documented) ages that depict the same facial expression, pose, lighting, and background. Using synthetically generated training data is a method that’s been utilized for things like training self-driving cars to handle situations that aren’t easily reproducible.
The age changes are then added/merge onto the face. It appears this approach fixes a lot of the issues common in this kind of approach: facial identity loss, poor resolution, and unstable results across subsequent video frames. It does have some issues with greying hair and aging very young actors, but produces results better than techniques used just a few years ago (not that the bar was very hard to beat).