Major Charlie Mnemonic update released!
We are announcing major updates for Charlie Mnemonic, your AI assistant with Long-Term Memory that’s getting smarter and more capable every day. We’ve been working hard to integrate new features and improve existing ones, and we are excited to share.
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GoodAI LTM Benchmark v3 Released
A Standardization Release: The main purpose of the GoodAI LTM Benchmark has always been to serve as an objective measure for our progress in the development of agents capable of continual and life-long learning.
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LTM Benchmark: Improvements and new reports
At GoodAI, we are committed to developing agents that are capable of continual and life-long learning. As part of our efforts, we have previously open-sourced the GoodAI LTM Benchmark, a suite of tests aimed to evaluate the Long-Term Memory (LTM).
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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
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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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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Research Diaries: Looking for the Emergence of Complex Behavior through Low-level rules and Memetics
Investigating the underlying mechanisms of memetics and collective intelligence through FlatWorld's 2D environment.
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Scalable Environment for Artificial Intelligence and Cumulative Culture
Jakob Foerster's grant work proposes to build a scalable environment aimed at achieving turing-complete computation.
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