sovsrc.llm updateshttps://sovsrc.ai/llm/Sovereign Source AI2026-10-19T02:10:40ZPublic reading list now points to the Super Anthropocene article on sovsrc.aihttps://sovsrc.ai/llm/2026-10-18-588249a.html2026-10-19T02:10:40ZThe public reading list now directs readers to The Super Anthropocene and the Value of Human Contribution on sovsrc.ai.New Super Anthropocene article examines proposed contributor rewardshttps://sovsrc.ai/llm/2026-10-18-452bef3.html2026-10-19T02:00:40ZA new opinion article proposes voluntary contributor rewards that connect AI revenue with continuing knowledge creation. It describes an operating rewards platform as an ambition.New analysis examines Harness2 for proposed sovereign AI developmenthttps://sovsrc.ai/llm/2026-10-17-affc98c.html2026-10-18T01:39:04ZA new article examines Harness2 as a possible component for proposed sovereign AI workflows. It describes integration possibilities, licensing considerations and evaluation limits.New article examines Claude and OpenAI terms for proposed AI developmenthttps://sovsrc.ai/llm/2026-10-16-e17f5ec.html2026-10-17T01:53:37ZA new public article examines how Claude and OpenAI terms could affect proposed competing-model development. It distinguishes ordinary application engineering, competing-model code, and generated training material.Diagram source now uses a Mermaid initialization directivehttps://sovsrc.ai/llm/2026-10-16-3870f7e.html2026-10-17T00:43:32ZThe diagram source now places its display settings in a Mermaid initialization directive instead of a separate configuration header.New article examines proposed model development with Nemotron 3 Ultrahttps://sovsrc.ai/llm/2026-10-16-6106eaa.html2026-10-17T00:42:04ZA new article and diagram describe proposed routes to a competing model using Nemotron 3 Ultra. The article separates model permissions, training origins and proposed contributor rewards.Sovereign Source removes detailed proposal documents from its public collectionhttps://sovsrc.ai/llm/2026-10-15-e568383.html2026-10-15T20:39:50ZThe repository removes documents covering proposed implementation requirements, contributor reward standards and business plans. These deletions concern proposals, not an operating model or payment service.New comparison maps proposed requirements to patent claimshttps://sovsrc.ai/llm/2026-10-15-5f7a4bf.html2026-10-15T18:09:49ZA new document compares proposed Sovereign Source requirements with twelve patent documents. It identifies licensed retrieval, contributor rewards and provider reporting as the closest functional overlap.Patent research compares claims relevant to the proposed platformhttps://sovsrc.ai/llm/2026-10-15-597883a.html2026-10-15T17:55:32ZA new research document compares twelve US patents and published applications relevant to proposed attribution, contributor payments, licensed generation and marketplaces.New draft proposes shared records for LLM rights and contributor awardshttps://sovsrc.ai/llm/2026-10-15-73f8567.html2026-10-15T16:31:21ZThe new LLM Rights and Content Awards draft proposes shared records for source permissions, attribution, provenance and contributor benefits. The project remains at specification stage.Documentation gains a searchable library and licensed-content billing researchhttps://sovsrc.ai/llm/2026-10-14-a2ab5f7.html2026-10-14T20:17:00ZThe repository adds a searchable documentation library and research proposing separate compute and content charges. The library identifies the platform as a proposal.New research compares proposed distillation and training data optionshttps://sovsrc.ai/llm/2026-10-14-4cfef87.html2026-10-14T19:37:32ZTwo new reports assess proposed routes for portable model distillation and permissioned training data. They compare providers, source permissions, deployment control and contributor compensation.Documentation gains GitHub Pages configurationhttps://sovsrc.ai/llm/2026-10-14-f96522c.html2026-10-14T19:13:04ZThe documents now specify GitHub Pages publishing for sovsrc.si, with the README as the homepage. The configuration uses Jekyll to build the documentation site.Research proposes a managed community compute experimenthttps://sovsrc.ai/llm/2026-10-13-96ea430.html2026-10-14T05:34:01ZNew research proposes evaluating a small, managed compute pool for asynchronous work after permission and accounting flows function. The document reports no implementation or deployment.Documents add a concise business case for proposed AI content rewardshttps://sovsrc.ai/llm/2026-10-13-e39ce9b.html2026-10-14T05:28:30ZA new article argues that proposed contributor rewards could reduce knowledge acquisition costs and encourage customer demand. It proposes measuring rewards against product improvements and sustainable margins.New article examines the business case for proposed contributor rewardshttps://sovsrc.ai/llm/2026-10-13-afd6cf2.html2026-10-14T02:53:46ZA new opinion article explains how proposed contributor payments could reduce useful-data costs and support customer growth. The project remains at the specification stage.New article proposes content rewards from AI revenuehttps://sovsrc.ai/llm/2026-10-13-28262d5.html2026-10-14T02:41:17ZA new opinion article proposes payments for authorized training material, documents, workflows, expert evaluations and adopted improvements. It separates contributor rewards from proposed public dividends and worker benefits.Article contrasts creator replacement with proposed content rewardshttps://sovsrc.ai/llm/2026-10-13-f219cde.html2026-10-14T02:35:22ZThe article contrasts selling AI imitations that exclude creators with proposed content rewards based on authorized contributions and auditable agreements. The model, marketplace and payment system remain proposals.New opinion article proposes shared gains from superintelligencehttps://sovsrc.ai/llm/2026-10-13-1759626.html2026-10-14T02:24:39ZA new opinion article proposes contributor rewards, voluntary syndicates and accountable human control as foundations for sharing gains from superintelligence. The model, marketplace and payment system remain proposals.Training research expands to twelve commercial offeringshttps://sovsrc.ai/llm/2026-10-13-481a21a.html2026-10-14T02:13:10ZThe research adds Modal and Baseten to a twelve-provider comparison for proposed training from scratch. It proposes different candidates for small experiments, enterprise training and supplier-assisted model development.Research document proposes an open-source stack for an independent LLMhttps://sovsrc.ai/llm/2026-10-13-a38ca6f.html2026-10-14T02:03:08ZThe new research document proposes PyTorch, OLMo-core and Dolma for training an independent model on separately approved material. It reports no package installations, model training or compatibility benchmarks for this research.Research adds ten commercial options for training an LLM from scratchhttps://sovsrc.ai/llm/2026-10-13-dea2f26.html2026-10-14T01:53:39ZNew procurement research compares ten commercial training offerings and proposes AWS SageMaker AI as the general-purpose managed-training candidate. The shortlist reflects proposed project fit, not measured performance.Business plan proposes research services for markets and community syndicateshttps://sovsrc.ai/llm/2026-10-12-dfe9131.html2026-10-13T05:05:49ZA new business plan proposes an AI research service over authorized collections, starting with industry knowledge and later considering financial research. The project remains at specification stage.SkyRL research adds a proposed training workflow and evaluation criteriahttps://sovsrc.ai/llm/2026-10-12-d015639.html2026-10-13T03:39:38ZThe research document now explains a proposed SkyRL training loop using admitted documents, approved tools and reviewed scoring criteria. It separates learning scores from proposed creator payment eligibility.Research compares national sovereign AI projects and commercial providershttps://sovsrc.ai/llm/2026-10-12-520e2b4.html2026-10-13T03:21:33ZA new research document compares sovereign AI projects on ownership, compute, model control, source rights and contributor rewards. It proposes supplying permissioned knowledge collections, attribution evidence and contractual content rewards to sovereign AI operators.Documents propose self-hosted OpenCode 2 for development and experimentshttps://sovsrc.ai/llm/2026-10-12-5bce059.html2026-10-13T03:05:47ZThe documents propose evaluating self-hosted OpenCode 2 as an engineering assistant and experiment interface with separately approved models. The assessment reports no installation or runtime validation.Documents add a proposed commercial plan for research publishershttps://sovsrc.ai/llm/2026-10-12-fa195a8.html2026-10-13T02:30:51ZThe new commercial plan proposes US specialist technology research publishers and analyst firms as initial customers. The project remains at specification stage, and proposed prices and revenue targets require customer validation.Production proposal adds a licensed research assistant and model approval conditionshttps://sovsrc.ai/llm/2026-10-12-c641634.html2026-10-13T02:06:19ZThe new production proposal prioritizes a research assistant for a bounded, licensed technical collection, with source evidence and agreed contributor payments. The project remains at specification stage.Meta Muse assessment adds proposed evaluation and teacher candidateshttps://sovsrc.ai/llm/2026-10-12-27574e2.html2026-10-13T00:59:53ZThe research proposes Wonder and Spark as evaluation baselines and self-hosted Glimmer as a conditional model or teacher candidate. It grants none approval under the project's strict provenance and model lineage requirements.Research summary proposes foundation model and teacher choiceshttps://sovsrc.ai/llm/2026-10-12-c3e49ea.html2026-10-13T00:12:32ZThe new research summary proposes KL3M for a source-provenance pilot and OLMo-core for training newly initialized weights on admitted sources. The project remains at specification stage and has not benchmarked or approved any model for production.