Tag: AI in Games

AI People: Long-Term Memory

December 12, 2024 AI in Games LTM

Have you ever noticed NPCs forgetting what they were doing or the details of your recent conversations? Not anymore! We’ve supercharged NPC memory—think of it as giving them a big dose of ginkgo biloba.

AI People: Now with Local LLM

December 05, 2024 AI in Games LLM

We are pioneering gaming AI: Update 0.3.0a introduces Local LLM support, enabling AI NPCs to run directly on your PC.

AI People: Announcing the next evolution of gaming AI NPCs

April 29, 2024 AI in Games

Today, GoodAI proudly introduces our new game: AI People Discover more on our official website: www.AIPeopleGame.com The Vision Our vision for AI People was ambitious but clear: to innovate within the gaming industry by making intelligent AI NPCs central to.

Marek Rosa: Solo creators enhanced by a legion of AI agents

March 18, 2024 AI in Games AI Policy and Society

Within the next five years, every individual will have the ability to employ AI agents from the cloud. These agents will effectively serve as our AI employees and assistants, aiding in tasks where we might typically enlist the services of.

Games in 2033

November 15, 2023 AI in Games

This article unfolds a five-stage evolution of gaming, each building upon the previous innovations and technological breakthroughs, significantly reshaping the gaming experience and its societal impact. From intelligent NPCs to immersive neural interfaces, we will explore how each stage contributes.

HALLM: An Agent that Observes and Acts through a Python Terminal

August 24, 2023 AI in Games LLM Research

At GoodAI, we are deeply committed to the advancement of safe AGI. Large language models (LLMs) undoubtedly offer significant power, but on their own, they have limitations — notably, the inability to learn new skills post-deployment. It's here that our.

Introducing our work on general-purpose LLM Agents

July 19, 2023 AI in Games LLM

At GoodAI, we are dedicated to pushing the boundaries of artificial intelligence. Our current focus is on the development of Large Language Model (LLM)-based agents with personalities that go beyond simple conversations, and instead exhibit LLM-driven behaviors, interacting with humans.