Adaptive Compression with WILLIAM-on-MORK

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Franz
Project Owner

Adaptive Compression with WILLIAM-on-MORK

Expert Rating

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Overview

This proposal develops WILLIAM-on-MORK, an adaptive compression and pattern discovery service for the Hyperon ecosystem. By integrating WILLIAM’s MDL-based incremental compression with MORK’s hypergraph indexing, it will enable Hyperon to discover, cache, and reuse structural patterns across reasoning processes. The focus is on integration with ECAN, PLN, and unification, where WILLIAM-on-MORK will compress and index traces and subgraphs to identify recurring structures and improve efficiency. The resulting system will serve as a core Hyperon service, later accessible via SingularityNET for broader adaptive compression use cases.

RFP Guidelines

Development of an adaptive compression and discovery service

Proposal Submission (4 days left)
  • Type SingularityNET RFP
  • Total RFP Funding $150,000 USD
  • Proposals 4
  • Awarded Projects n/a
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SingularityNET
Oct. 2, 2025

This RFP seeks proposals to create a scalable and reusable adaptive compression service that discovers, elevates, and reuses patterns across multiple data domains.

Proposal Description

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  • Total Milestones

    3

  • Total Budget

    $100,000 USD

  • Last Updated

    6 Oct 2025

Milestone 1 - Research Plan

Description

A comprehensive research plan will be developed, detailing the conceptual foundations of adaptive incremental compression, its integration with Hyperon, and the timeline for implementation. The framework design will outline data flow, module interfaces, and evaluation methods.

Deliverables

Research plan, agile task breakdown with timeline, and preliminary framework architecture.

Budget

$20,000 USD

Success Criterion

Approval of the research plan by the review committee and readiness for initial implementation.

Milestone 2 - Core functionality and integration with MORK

Description

Develop the core functionality of WILLIAM to efficiently compress multiple data streams and generate compressing graphs in sequence and image domains. Implement parameter elevation and b-compression to establish a performance baseline. Integrate with the MORK hypergraph kernel by extending WeightedTriemap nodes with additional statistical fields and enabling feedback between WILLIAM and MORK for adaptive pattern reuse.

Deliverables

Draft implementation, integration tests with MORK, initial compression benchmarks including acceleration of compression by MORK-assisted reuse of useful patterns.

Budget

$40,000 USD

Success Criterion

Verified functionality of compression across domains and successful data exchange between WILLIAM and MORK with efficiency improvement established by the reduced number of graph evaluations to achieve the same compression rate.

Milestone 3 - Optimization and deployment

Description

Optimize the framework by transitioning from trees to DAGs, implementing search within Callables and parallelizing the algorithm. Use a fixed, small but general template library achieve domain specialization through MORK-assisted reuse of domain-relevant patterns. Deploy WILLIAM-on-MORK as an internal Hyperon service that continuously compresses and indexes traces, subgraphs, and activity patterns produced by PLN, backward/forward chaining, and ECAN. This allows Hyperon to cache, generalize, and reuse recurring reasoning patterns, effectively building a long-term memory of compressive templates. The system will also be made available as an external SingularityNET service for third-party adaptive compression tasks.

Deliverables

Optimized codebase, documentation, performance and compression reports, Hyperon integration tests on PLN/chaining/ECAN traces, and deployment-ready service on SingularityNET.

Budget

$40,000 USD

Success Criterion

Improved performance of at least some Hyperon components through the usage of the WILLIAM-on-MORK service.

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