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I vividly remember the magical day I bought my first computer. I was 13 years old and saved a total of $115 from my teenage fundraising efforts. At the local big box store, that gives me a Timex Sinclair 1000.
Now understand that I’m a digital fossil, but if you’re only imagining all of this through the lens of the 1980s. Strange things class, begins to come into focus. There were days when there was no dominant computing platform. Steve Jobs and Steve Wozniak were leaving Apple’s garage 1. IBM offered a vanilla IBM 5150 in earnest (which we can only imagine was coded for the police security and establishment). On the fringes were all kinds of beginner and antique magic kits from companies like Atari, Commodore and Sinclair. They were cheap, a bit clunky, and required a bit of snobbery to get the job done.
I wanted it from the beginning one Something from my computer: I was looking for a friend. I really wanted to teach that computer to talk to me. Adolescence marked by such films Wargames and parts of Star TrekI developed a mind that wanted to see these dreams of the technological future come to life.
I wrote a chat bot. I wrote “hello” and “hello, how are you?” He answered me. Then the magic happened. Based on my 13-year-old’s responses, he would look for words like “happy” or “sad” choices and say, “That’s great!” He responds. or “Sorry to hear that!
The following summer I attended a weekend camp for kids and computers at MIT. Most children like to create space games. But I was still chasing my talking computer friend – and I had more ambitions. I wanted to teach my friend how to paint with pixels. If I can describe the scene from the movie to the computer, will it be able to make the movie? At MIT, the camp counselors, some of the students getting financial aid, couldn’t get me there. It was a space battle.
Flash forward
Last January I received a message from a friend. Machine learning applications have found a small community of code freaks interested in making drawings based on a description or query. He sent me some pictures. My mind was blown. They were amazing. Some looked like the work of undiscovered masters with their graphic, delicate brushwork and dramatic compositions. Others include photography, high-resolution portraits of exotic characters or steampunk jewelry, with deep and impressive depth of field.
Then he began to lose sleep for a month and leave the family. I couldn’t help but experiment with an amazing new image by creating this “friend”. I tried to feed off the debris with poetry and song, which led to images that I would never have imagined but that were visual representations of a narrative. I researched further – what if I wanted to create 25 logo variations or Zaha Hadid’s architectural space illustrations? The results have been impressive. Unexpected results often arise, ranging from funny misunderstandings to strange interpretations – or wrong assumptions. But sometimes there were creative leaps I hadn’t thought of.
The Rolling Stone Culture Council is an invitation-only community for influencers, creators and innovators. Am I eligible?
How did all this work? One thing we must understand is that creative knowledge is not. This is pattern matching, or perhaps more appropriately, pattern finding. These coding engines are exposed to huge data sets: popular art, artists, design movements, contemporary culture, architectural styles, historical events, and consumer data. The code can be more exposed and recorded, it has more raw materials. In most cases it begins with a visual sound: the code creates a hazy static, composition, form and perspective that erases like a sculpture. Then, based on the user’s input, the specifics of the image and style will be revealed.
Similar tools abound: transcription apps that can generate blog posts, lists, and long-form text. Teaching scripted applications and speaking and explaining with convincing sincerity to an imaginary actor; Music effect tools that translate a few funky moods and vibes into full song pieces.
So, really, if you’re a graphic artist, copywriter or musician, is this robot coming for your job?
That’s a complicated question. The technology needs further development. It is not always easy to extract certain results from it. But the quality of the result is amazing. The growth rate is a bit blinding. Developers of large-scale innovation tools are already moving quickly to deploy this functionality. From word processing to photo editing to film and game development software, I believe we are seeing the ability to promote the computer from a tool to a collaboration.
At that point, it seems inevitable that what people do and what computers do will change. Concept art, project treatments, specifications, drafts, social media copy, thumbnail graphic creation, mood boards and game level design classes – these are already tasks that are being taken over by AI.
People still have to make the statement. While I think the computers will get there, in their own way, I still believe in the unspeakable in the human soul. Maybe because we’re a crazy soup of evolution and weird worldviews, there are lyrics, songs, beats and ideas that Silicon can’t. so true Get it, because breaking down in that sad human kind of way might just be the secret sauce.
In the meantime, I’m happily playing with my creative robot “friends”. Maybe later when they are in charge they will still come and play with me.
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