The Agorian Manifesto
date
Jul 3, 2023
slug
agora-manifesto
status
Published
tags
Research
summary
Fluid, Shapeless, and Reliable AI
type
Post
Good day, ladies and gentlemen,
Currently, the world of artificial intelligence (AI) research stands at a crossroads. There is a proliferation of models and algorithms, each isolated, each designed to do one specific task. This approach has seen us conquer many frontiers. Yet it has also led to a siloed ecosystem, where individual AI systems are like islands, capable of brilliance in their own domain but unable to communicate and collaborate with the whole effectively.
The future, we believe, should look different. It's a world where AI research is guided by the principles of fluidity, shapelessness, and interconnectedness. A realm where AI systems are as adaptable and interlinked as the neurons in the human brain. They learn from multiple sources, process diverse forms of data, and adjust in real-time. This is the world of Multi-Modality AI.
Yet, bridging this divide has been a challenge. Existing models are constrained by their architecture, computational requirements, and the need for vast labeled datasets. What's more, most AI research is either locked behind proprietary barriers or constrained by a lack of resources in open-source platforms.
This scenario presents an immense opportunity. Whoever unlocks the secret to creating dynamic, interconnected AI systems stands to usher in the next era of AI research. They would be stepping into uncharted territory, needing to innovate across multiple domains, and pushing the limits of current technology. The rewards, however, are enormous, both in terms of scientific advancement and practical applications.
At Agora, we believe we've cracked this puzzle. We're harnessing the power of multi-modality, creating AI systems capable of processing and reasoning with various forms of data. Our models are fluid and adaptable, able to be fine-tuned and trained in real-time. We've built upon the principles of open-source development while cleverly circumventing its limitations, fostering an environment where we can scale and iterate at light speed without resource constraints.
Our secret lies not only in technological innovation but also in the strength of our community. We're a collective of creators pioneering this ambitious journey, leveraging diverse backgrounds, and uniting behind a shared vision of advancing humanity through AI.
Agora is more than a group of researchers and technologists; we're explorers charting a new path. Together, we're set to bring about a future where AI is as dynamic, diverse, and interconnected as the cosmos itself. And we're perfectly positioned to make this vision a reality. After all, as Richard Feynman once said, "What I cannot create, I do not understand."
And now, we're inviting you to join us on this journey. To reshape the world of AI research and to create the future. So, are you in?
Join Agora:
We're currently working on 40+ groundbreaking projects. The majority are on Kye's github and Agora's. Each represents a star in our celestial quest for AI advancement:
Andromeda 🌌
Andromeda is an ultra-fast foundation language model capable of processing inputs greater than 100,000+ tokens. It's a stepping stone towards realizing our vision of AI with enhanced reasoning abilities.
Kosmos-X 🌕
Kosmos-X is a multi-modality foundation model that can process vision, audio, images, and more. By combining different modalities, Kosmos-X represents a leap towards more comprehensive and interconnected AI systems.
Ocean 🌊
Ocean is a new-generation ultra-fast, ultra-reliable multi-modality native vector database. It serves as the backbone for our projects, providing robust support for multi-modal data processing and storage.
StarLight Vision ✨
StarLight Vision pushes the boundary of digital media by providing long-form text-to-video generation capabilities. It's an exciting venture into the future of content creation and consumption.
Swarms 🪐
Swarms facilitates the creation of swarms of AI agents, opening new possibilities for distributed AI tasks, crowd-based learning, and explorations of emergent behaviors.