Democratization of generative AI

June 15, 2024 — June 15, 2024

bounded compute
collective knowledge
concurrency hell
edge computing
extended self
faster pussycat
incentive mechanisms
machine learning
neural nets
Figure 1

A surprising phenomenon whereby jugaad processes and idk what else, a lot of excellent AI research is being done by the people.

cf Stability, RWKV

Democratizing the hardware side of large language models seems to be an advertisement for some new hardware, but there is interesting background in there.

HuggingFace distributes and documents and implements a lot of Transformer/attention NLP models and seem to be the most active neural NLP project. Certainly too active to explain what they are up to in between pumping out all the code.

An example: Agora

Agora is a collective of AI Engineers and creators advancing humanity through artificial intelligence.

0.0.1 Our Guiding Principles:

  • Humanity First: Our research has 1 definitive purpose… To advance Humanity above all else.
  • Open Source: From start to finish every project we work on is completely open source even if it does not work yet, our devotion to radical openness faciliates accelerated learning.
  • High-Impact: All of our research is high impact, we focus on projects that can improve the quality of life for millions of human beings through multi-modal, continual, and collective learning!

0.0.2 Research Priorities:

  • 🌐 Multi-modal Approach: Utilizing AI to process and reason with multiple forms of data.
  • 💧 Adaptability: Models that are as fluid as water, capable of being fine-tuned and trained in real-time.
  • 🌲 Reasoning: Our work aims to achieve superintelligence as swiftly as possible. To this end, we strive to augment models’ reasoning capabilities through innovative prompting techniques like the Tree of Thoughts or Forest of Thoughts.
  • Collective Intelligence Scaling up collaboration between agents to accomplish real-world tasks.

Our ultimate goal is to foster the development of superintelligent AI that can reason across modalities, tasks, and environments and can collaborate with other AIs!

Now, how can you contribute?

1 Incoming