Part 2/8:
The proposals explore areas such as evolutionary methods for training transformers and neural networks, developing demos in the Meta language, creating a Meta corpus for language translation, implementing standard clustering techniques in Meta, and developing frameworks for motivation systems and attention allocation. Additionally, there are proposals focused on utilizing large language models (LLMs) within the Moses model, experimenting with concept blending, and exploring neural-symbolic architectures for higher-order reasoning.
The RFPs also include reviews of current hardware and quantum computing technologies that could be leveraged for AGI purposes. Clay emphasized the importance of community involvement and encouraged interested individuals to submit proposals through the Deep Funding portal.
Meta Developments: Advancing the Core Platform
Vaa provided updates on the progress made in the Meta programming language and compiler. Key developments include:
[...]