Extended Planning and Analysis (xP&A), is not a new concept for IBM clients who use IBM Planning Analytics with Watson, formerly known as Cognos TM1. For the past several years, clients have embraced the need to tie operational decisions to the financial impact from both planning and analysis perspectives. For instance, a Director of Operations …
Recently I’ve been experimenting with DALL-E 2, one of the models that uses CLIP to generate images from my text descriptions. It was trained on internet text and images, so there’s a lot it can do, and a lot of ways it can remix the stuff it’s seen online. I decided to have it generate …
One thing I’ve noticed with image-generating algorithms is that the more of something they have to put in an image, the worse it is. I first noticed this with the kitten-generating variant of StyleGAN, which often does okay on one cat: alternative for shocked_pikachu.png but is terrible at a crowd of kittens. A few years …
DALL-E (and other text-to-image generators) will often add text to their images even when you don’t ask for any. Ask for a picture of a Halifax Pier and it could end up covered in messy writing, variously legible versions of “Halifax” as if it was quietly mumbling “Halifax… Halifax” to itself. Since the AI is …
Google’s large language model, LaMDA, has recently been making headlines after a Google engineer (now on administrative leave), claimed to be swayed by an interview in which GPT-3 described the experience of being conscious. Almost everyone else who has used these large text-generating AIs, myself included, is entirely unconvinced. Why? Because these large language models …
I recently started playing with DALL-E 2, which will attempt to generate an image to go with whatever text prompt you give it. Like its predecessor DALL-E, it uses CLIP, which OpenAI trained on a huge collection of internet images and nearby text. I’ve experimented with a few methods based on CLIP, but DALL-E generates …