The Database of Every Picture Imaginable

DALLE-2 Prompt: a photorealistic round glass fishbowl containing a collection of small colorful 2D images of people, places and things each using a random style, contrasting colors and themes

I wrote the post below in 1993 for April Fools, soon after I’d joined the Disney VR Studio. I posted it anonymously to USENET (the plaintext Reddit of the day).

I didn’t know much about neural nets back then, but the idea with this ‘bit-index’ is that any image can be represented by a single number, a numeric ‘prompt’ of sorts, which in the worst case is the concatenation of all bits in the original image (which ironically is just as big as the original image, hence the joke…).

Today, you could think of the bit-index as some text prompt that could be used to regenerate the desired image in a generative AI system. Indeed, there is some research going into creating unique text prompts for any existing image that could later regenerate the original, which is just another form of compression and decompression, using the giant trained AI model as the pad or codec.

Until now, a 3D graphics pipeline has been the most advanced image decompression system ever created, taking small 3D models and generating amazingly detailed 3D graphics. But I digress…

I’ve kept the typos and bad editing as is.

October 21, 1993 — [Geneva] Two Swiss scientists announced last week their stunning discovery of a method for generating and storing any conceivable picture using ordinary personal computers. Called The Database of Every Picture Imaginable, or DOEPI, their system is currently seeking patent and copyright protection in virtually every industrialized nation, including the United States.

Other image generation and storage technologies have been introduced in the past to help cope with the incredible demands of Multimedia and Video-Dialtone but, according to co-inventor Dr. Francois La Tete, of the Alpine Institute, a well-respected Swiss mathematical society, DOEPI is the first system which is capable of storing literally every image. “Our proprietary algorithm is the first of it’s kind,” says La Tete, “ It can compress every image into such a compact space that the software can run with less than one megabyte of memory.”

Indeed, the performance of their system is impressive. Independent experts have confirmed that when fed a “bit-index-code” (a string of 1’s and 0’s which tell the database how to find the proper image), the…