Blog

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

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.

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Introducing Charlie Mnemonic: The First Personal Assistant with Long-Term Memory

As part of our research efforts in continual learning, we are open-sourcing Charlie Mnemonic, the first personal assistant (LLM agent) equipped with Long-Term Memory (LTM).

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Introducing GoodAI LTM Benchmark

As part of our research efforts in the area of continual learning, we are open-sourcing a benchmark for testing agents’ ability to perform tasks involving the advanced use of the memory over very long conversations.

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Games in 2033

November 15, 2023 AI in GamesTechnical blogs

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.

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Embodied collectives: our progress to date

At GoodAI, we are building collaborative AI agents that enhance human capabilities and drive positive change at scale. Collective intelligence is the guiding principle behind our work.

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LLM Agent taught to control drones

August 31, 2023 AIDronesRobotics

In this article, we demonstrate the learning process of one of our GoodAI LLM Agents being taught how to use an API to control a drone quadcopter.

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

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.

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Introducing our work on general-purpose LLM Agents

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.

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