First, there was Dall-E, then ChatGPT, and now Jigzilla 🤖🧩

First, there was Dall-E, a project made public in September that enabled users to create realistic art from strings of text like “an Andy Warhol-style painting of a bunny rabbit wearing sunglasses.” And then there was ChatGPT, the chatbot where users get entertaining and intelligent responses to prompts such as “write a haiku about a colonoscopy.” (ChatGPT's answer below. 👇)

And now, Jigszilla, the automatic jigsaw puzzle solving machine. 🤖🧩


People used DALL-E to make meme abominations — like pug Pikachu. Thanks to the artificial intelligence-powered text-to-image generator called DALL-E, people started creating and sharing absolutely wretched images of well-known characters like Pikachu, the Demogorgon from Stranger Things, Jar Jar Binks, and more.

DALL-E was made by Boris Dayma and can create images from simple Google search-style inputs. The namesake of the program is a reference to artist Salvador Dali, since it mimics his surrealist art style.

While the program is touted by its creator as making art, it’s not surprising that people have mostly used it to create memes.

The viral image-generation app is good, absurd fun but it’s also giving the world an education in how artificial intelligence may warp reality.


ChatGPT is a free chatbot that can answer all manner of questions with stunning and unprecedented eloquence. ChatGPT opened to the public just last month, and has already caused quite a stir on the Internet. While other text-based AI generator’s have been around for a while, ChatGPT isn’t just able to generate a coherent sentence, but instead has the ability to string together paragraphs of information that can logically convey a single point—something previous AI has lacked.

The articulate new chatbot has won over the internet and shown how engaging and multifaceted conversational AI can be. 

Early users have enthusiastically posted screenshots of their experiments, marveling at its abilities.

It has prompted predictions that the service will make conventional search engines and homework assignments obsolete.

Could ChatGPT replace Google? Sam Altman, CEO of OpenAI, said "ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness. it's a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness." Even Elon Musk is a fan:

ChatGPT’s unreliability makes it problematic for real-world tasks. For example, despite suggestions it could replace Google search as a way to answer factual questions, its tendency to generate convincing looking nonsense should disparage users.


Constructed by the brilliant engineer Shane Wighton of Stuff Made Here, Jigzilla is a puzzle assembling robot that uses machine learning to determine which pieces fit together and where. In the video, Jigzilla tackles a custom 4,000-piece all-white jigsaw puzzle made by Shane and manages to complete the whole thing except for the very last row. Close, but no cigar, Jigzilla!

Shane says he still has an enormous amount of work to do until Jigzilla can complete the 5000-piece puzzle.

Jigzilla uses a telecentric lens to photograph all the puzzle pieces. Then, the photos were processed to determine the exact shape of each piece’s four individual sides and recreate the puzzle in its computer brain. Jigzilla uses a small suction cup to pick up pieces and then, using AI and a vacuum system, it can identify them and rotate them into place. The robotic jigsaw puzzle solver was set loose to reassemble the maddening puzzle, being fed a piece at a time and putting it in the correct place.

This puzzle is completely white which makes it very very difficult for even skilled puzzlers to complete.

In the first video of a YouTube series dedicated to the creation, Shane explains that the robot's suction cup can rotate pieces with ease, making it possible for the bot to complete a small 3x3 white puzzle in the first video of his series.

Showing the slow movement of Jigzilla, Shane said that his current algorithm "is so slow that it would take about 3000 years to solve" the 5000-piece puzzle. In other words, solving a 5000-pieces puzzle would take about 10 years to solve manually. Thankfully, Shane has made a robot that can solve it in 3000 years.

"If at first you don't succeed, reduce your expectations until you're a success." - Shane Wigton, Jigzilla founder. 😂

More from Rest In Pieces:

We've listed our favourite jigsaw puzzle options below; whether a seasoned pro, budding beginner, or an AI puzzle assembling robot - there's something for everyone.

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