We will take any and all excuses to pull-out the glow in the dark paint- please and thank you! I love that the supply list for this Craftiments jellyfish project is super accessible and the wow factor is BIG. If you want to take the glow-in-the-dark paint to the next level, swap out your regular lightbulb for a blacklight bulb and have some over-the-top glow-in-the-dark fun!
-Jack Johnson
If you have ever had the opportunity to see a jellyfish in real life, you know first-hand that they look like works of art! It’s no surprise that jellyfish art projects are a popular theme in art rooms around the globe and a big hit with young artists. We have featured more than a few jellyfish art projects in our art classes, camps, and workshops over the years. Here is a collection of our very favorite jellyfish art and craft projects. Fair warning: you are probably going to want to make them ALL!
Up-Cycled Jellyfish
Have you ever looked at a frozen yogurt or frappucino lid and thought: that looks like a jellyfish? Well, that’s exactly where we got the inspiration to create this up-cycled jellyfish project. These 3-D jellies are super fun to make and they incorporate simple supplies you probably already have in your arts and craft stash. This jelly project makes a great under-the-sea party craft + doubles as decor.. they look great hung as a group!
Spray Art Jellyfish
When my wonderful art teacher friend Lauralee (also known as @2artchambers over on Instagram) shared these beautiful watercolor spray print jellies over on her Instagram feed I was in love. This is such a great example of a simple process yielding incredible results! I am sure this one will be a hit with your little artists! You can find more details here.
Design Tools — How graphic designers are creating their own AI tools
While many artists of all stripes fear the growing dominance of AI, some graphic designers have greeted it and made it their new creative partner. Here, writer Stan Cross asks six of these designers to show us how they made their own digital design tools and why—and most importantly, their outlook on how to use tech and keep the humanity in their work.
The belief in the arts’ ability to remain impervious to the advances of artificial intelligence and for human creativity to forever elude machines is rapidly waning. Generative art is no longer confined to inscrutable research papers, tech conference conjecture and the furtive experiments of early adopters, but accessible to anyone with an internet connection. Since their ascent into the mainstream in the last few years, AI tools have demonstrably and exponentially improved. Within a very short space of time, the much-derided nightmare fuel of embryonic image generators has progressed to a point by which it’s now possible for any casual user armed with little more than a few choice keywords to achieve convincing impersonations of humanity’s most celebrated artists, encompassing most every discipline related to image-making; from painting to illustration, graphic design, animation, filmmaking and photography.
The as-yet-unrealised commercial implications of generative art are evidently many and profound, leaving many understandably gravely worried about how it will affect their future income. One necessary corrective is to contend with its artistic implications. While off-the-shelf tools like MidJourney and Stable Diffusion allow their users to create credible enough forgeries of famous artists’ styles and works, they deprive them of the fundamental cognition and mastery of craft required to have ever created these works in the first place.
A handful of text prompts may now be all that’s required to produce technically competent designs and aesthetically pleasing images, but if you outsource the majority of your creative decision-making to black box tools whose internal workings and algorithms remain opaque, you are necessarily abstracted from the process. Such a piece of software is not trying to express itself or when it generates a result, more than it is trying to find some median output dictated by whichever visual data it’s been trained on and been told to give primacy to. For me, creative expression requires a greater degree of human input, intent and authorship. This is what charges it with meaning.
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“The collaboration between human and machine becomes more like a duet, with AI elevated beyond a mere parlor trick novelty.”
