AI

Tekoälyä kuvataiteessa ja sen opetuksessa. Pohjautuu 28.4.2023 Hämeenlinnassa pitämääni luentoon. Artificial intelligence in visual…

Midjourney says it’s a temporary measure to stop people from using its system to create shocking or gory images.

Lance Weiler is an A.I. convert. His art students at Columbia University are still debating the creative value of ChatGPT and Midjourney. Powerful tools or a crutch?

Trainbot watches a piece of train track, detects trains, and stitches together images of them. Computer vision exercise in Go. - GitHub - jo-m/trainbot: Trainbot watches a piece of train track, det...

The godfather of virtual reality has worked beside the web’s visionaries and power-brokers – but likes nothing more than to show the flaws of technology. He discusses how we can make AI work for us, how the internet takes away choice – and why he would ban TikTok

archived 13 Apr 2023 15:43:30 UTC

GitHub Copilot works alongside you directly in your editor, suggesting whole lines or entire functions for you.

You might have heard about LLaMa or maybe you haven’t. Either way, what’s the big deal? It’s just some AI thing. In a nutshell, LLaMa is important because it allows you to run lar…

In this final installment of Everything is a Remix, Kirby Ferguson offers his perspective on image generation with AI, how it co

Coca-Cola has launched its "Masterpiece campaign with a short film that features a host of classical and contemporary paintings.

The first eight pages of the Wachowskis’ THE MATRIX (1999) script provide a MasterClass in how to introduce a complicated world.

Correcting Intuitions about Machine “Learning”

Obscure government algorithms are making life-changing decisions about millions of people around the world. Here, for the first time, we reveal how one of these systems works.

It Isn’t Just Bias and Threats to Creative Livelihoods. Generative AI Is Built on Nihilism. Its Real Product Is Despair.

by Rockwell Anyoha Can Machines Think? In the first half of the 20th century, science fiction familiarized the world with the concept of artificially intelligent robots. It began with the “heartless” Tin man from the Wizard of Oz and continued with the humanoid robot that impersonated Maria in Metropolis. By the 1950s, we had a generation of scientists, mathematicians, and philosophers with the concept of …

Translations: Vietnamese. (V2 Nov 2022: Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art. The release of Stable Diffusion is a clear milestone in this development because it made a high-performance model available to the masses (performance in terms of image quality, as well as speed and relatively low resource/memory requirements). After experimenting with AI image generation, you may start to wonder how it works. This is a gentle introduction to how Stable Diffusion works. Stable Diffusion is versatile in that it can be used in a number of different ways. Let’s focus at first on image generation from text only (text2img). The image above shows an example text input and the resulting generated image (The actual complete prompt is here). Aside from text to image, another main way of using it is by making it alter images (so inputs are text + image).

From bullshit generation to culture wars and the end of ad revenue.

Do you like AI tools but have trouble getting the desired results? Then it's time to meet the concept of

Amid AI platitudes, mankind's input will still be prized

Or 10 tweets about ChatGPT