/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

metasd.com
| | jeffreyladish.com

In this post I explain what we can and can't learn about AI sentience from conversations with Large Language Models.
1.6 parsecs

Travel
| |
| | elijahpotter.dev

Of course it's that easy.
2.4 parsecs

Travel
| |
| | veronicaexplains.net

More "content creators" should disclose how they use so-called "AI", so here we go. Here's how I use it.
2.8 parsecs

Travel
| |
| | blog.otoro.net

[AI summary] This text discusses the development of a system for generating large images from latent vectors, combining Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). It explores the use of Conditional Perceptual Neural Networks (CPPNs) to create images with specific characteristics, such as style and orientation, by manipulating latent vectors. The text also covers the ability to perform arithmetic on latent vectors to generate new images and the potential for creating animations by transitioning between different latent states. The author suggests future research directions, including training on more complex datasets and exploring alternative training objectives beyond Maximum Likelihood.
19.2 parsecs

Travel
|