Motivate SYNAPSE approach that attention management is fundamentally a resource allocation system. Establish the fundamentals of SYNAPSE as a framework for guiding and evaluating attention in AI and AGI. Start to convert biological principals of recommendation architecture theory to tools of the framework.

Initial documentation motivating theory behind the basic premise of resource allocation in relation to attention. Key approach of SYNAPSE explained with graphics. Identification of core components in biologic systems resource management. Identification of attention allocation in terms of resource management components in AI/AGI at different levels of understanding (e.g. compute resources logic knowledge). Mapping biologic components to ideal components in AI/AGI models that would exemplify benefits of resource allocation in brain with respect to attention. Section organization outlines for the SYNAPSE about document how-to evaluate user guide document guide to developing based on the SYNAPSE model document.

$8,000 USD

Literature review of the current attention management techniques in AI/AGI and the relation to recommendation architecture theory. 3 documents with clear organizational structure of headings, subheadings, brief description of each section, and graphic/tool placement for how to use SYNAPSE to evaluate AI/AGI attention, how to model a new attention mechanism after SYNAPSE and about the SYNAPSE (i.e. what the framework is, literature support, framework documented and explained). The core framework for SYNAPSE established in the about documentation. Report documenting the development and research plan of SYNAPSE framework to be completed in this proposal from steps needed to develope the framework -- then designing how to use the framework to evaluate attention in any system (specifically focusing on AI and AGI systems) --and then finally developer tools and tips for implementing SYNAPSE principals an best practices. Report documenting how the SYNAPSE framework will be communicated to and interact with AI researchers. A plan to organize what tools and resources will be available and in what format to communicate this framework. A peer reviewed paper from a technical standpoint, documentation for AI developers, resources for the general public, and the user interface housing the different levels of communication that different audiences can provide feedback and updates/future work to the framework.

Finalize the mapping of brain mechanisms to framework of SYNAPSE -- core construction of the SYNAPSE concept which establishes how resource allocation is attention management in a framework that is architecture and substrate independent. This means that the framework is a general design schematic of how any system capable of attention is a function of modular resource allocation concepts. The SYNAPSE framework embodies a best-practices example of resource allocation mechanisms for maximum information encoding and recall in appropriate contexts. Execution of some of the communication report.

Completed about documentation updated based on feedback from related experts on the Recommendation Architecture AI and AGI experts. Set-up of user-interface and roll-out of about documentation including other levels of communication according to the communication report.

$8,000 USD

A user-interface is set-up properly and ready for rolling out documentation with internal testing completed. Execution of communicating the SYNAPSE framework is deployed and maintained properly. Feedback on SYNAPSE Framework is positive and the initial sentiment of the communities are encouraging. Feedback is responded to and incorporated in revised-maintained version of the framework documentation, resources, and tools.

Design the approach for using the SYNAPSE framework to evaluate attention mechanisms in AI/AGI models.

Complete documentation of evaluating attention with SYNAPSE. This includes a description of evaluation metrics and how they will be used/applied. Followed by a quick guide "how-to" describing the overall process. Then a comprehensive guide of evaluating attention abilities and effectiveness at different levels of resource allocation (e.g. model architecture model logic mechanisms compute resources on the hardware device(s) information theory level etc.). Including examples and practice tutorials. Including a detailed description and definition of the components and mechanisms needed to identify and measure attention. Including a detailed description of how measurements are conducted. Including a long description of how to interpret the measurements of attention. Roll-out of associated tools and resources for this phase of the communication plan. Feedback from many more experts in related scientific fields and from developers and documentation designers. Report on examples of evaluating Attention mechanisms using SYNAPSE in existing AI models

$8,000 USD

Execution of communicating the evaluation framework for SYNAPSE is deployed and maintained properly. Feedback on SYNAPSE core framework and evaluation methods update is positive and the sentiment of the communities remains encouraging. Feedback is responded to and incorporated in revised-maintained version of the framework documentation, resources, and tools. Report on examples of evaluating Attention mechanisms using SYNAPSE in existing AI models aligns with previous research and the report is peer-reviewed. Any qualified feedback is used to revise the documentation.

Comprehensive testing performance optimization and completion of all documentation and delivery requirements. Finalize how to use SYNAPSE in development for guiding and evaluating attention mechanisms in AI/AGI.

Documentation of developer guide for SYNAPSE is completed with tutorials and examples and extra information. Complete documentation of all resources/tools/documents that were designed according to plan deployed on user interface and organized each with appendices and table of contents for easy look up. Final reviews by many reviewers used to update any of the documentaton or framework. Report on using SYNAPSE as a guide to fixing problems in Hyperon DAS evaluation of attention in current Hyperon/PRIMUS suggestions for monitoring and implementing attention solutions as Hyperon scales.

$6,000 USD

Execution of communicating the developer guide framework for SYNAPSE is deployed and maintained properly. Feedback on SYNAPSE core framework and evaluation methods and developer guide update is positive and the sentiment of the communities remains encouraging. Feedback is responded to and incorporated in revised-maintained version of the framework documentation, resources, and tools. Report on using SYNAPSE as a guide to fixing problems in Hyperon DAS, evaluation of attention in current Hyperon/PRIMUS, suggestions for monitoring and implementing attention solutions as Hyperon scales are reviewed and revised by the Hyperon team.