Generative AI Innovation Network

Also available as a paper on Arxiv: https://arxiv.org/abs/2408.01768 I. Static is Dead: Living Computing Systems are the Answer We build software that is static and dead. Alan Watts, the author of the Wisdom of Insecurity [4], aptly summaries the problems of things that are static

Could you effectively paint if you didn’t know the color "red" existed? Imagine trying to mix colors without knowing about red—not knowing a vital component for engaging expressions of warmth, passion, or urgency. This is akin to prompt engineering without a robust knowledge of art history,

Imagine tuning into Netflix and generating the next episode of your favorite show with just a few clicks. Generative AI can do something similar. We call this the "art of pattern." Prompts in these AI models act like templates. You feed them in, and the AI produces endless

Prompt injection attacks exploit the fundamental design of LLMs, which inherently mix "instructions" and "data" within prompts. This mixing violates a core principle of computer security: the separation of code and data. In traditional computing environments, great efforts are made to keep these elements distinct, as

Share Your InnovationGenerative AI Innovation Network We use this form to find innovators to feature on the website and newsletter. If we put together an article on your work, we will need to follow up with you via email. Please make sure that you double check your email before submitting.

Current Generative Artificial Intelligence (AI) tools work similar to text messaging on your phone. You can send messages to the AI and it can text you back. When the AI sends a message back to you, it is “generating” a response. The interaction is very similar to texting a human.