Tiered Language Models use a secret key to induce an alternative computation graph over shared weights, enabling private capabilities in the keyed mode while the public mode shows none.
Open- sourcing highly capable foundation models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
6 Pith papers cite this work, alongside 4 external citations. Polarity classification is still indexing.
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2026 6verdicts
UNVERDICTED 6representative citing papers
Introduces nexbax, a diagnostic framework with three themes and 10 dimensions for evaluating AI economic viability, operational practicality, and societal integrity in next-billion-user contexts.
Thematic analysis of r/LocalLLaMA discussions finds users define openness via reliability, local control, privacy, and adaptation under compute, licensing, and usability constraints.
Ethical constraint evidence on open-weight AI models decays with a half-life of 1.31 derivation steps on Hugging Face, creating a governance horizon at seven generations where 80% of models lack traceable information.
A game-theoretic R&D race model shows that pure Nash equilibria for open-sourcing decisions exist and are computationally tractable in both discrete and continuous settings.
Subsidized commitment by a small group of defenders in an evolutionary game model significantly increases strong defense adoption, suppresses attacks, and improves system resilience under AI access inequality.
citing papers explorer
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Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs
Tiered Language Models use a secret key to induce an alternative computation graph over shared weights, enabling private capabilities in the keyed mode while the public mode shows none.
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Next-Billion AI Index: The compass for AI utility and adoption in the global majority
Introduces nexbax, a diagnostic framework with three themes and 10 dimensions for evaluating AI economic viability, operational practicality, and societal integrity in next-billion-user contexts.
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Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA
Thematic analysis of r/LocalLLaMA discussions finds users define openness via reliability, local control, privacy, and adaptation under compute, licensing, and usability constraints.
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A governance horizon for ethical-use constraints in open-weight AI models
Ethical constraint evidence on open-weight AI models decays with a half-life of 1.31 derivation steps on Hugging Face, creating a governance horizon at seven generations where 80% of models lack traceable information.
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Why Open Source? A Game-Theoretic Analysis of the AI Race
A game-theoretic R&D race model shows that pure Nash equilibria for open-sourcing decisions exist and are computationally tractable in both discrete and continuous settings.
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Strategic commitments shape collective cybersecurity under AI inequality
Subsidized commitment by a small group of defenders in an evolutionary game model significantly increases strong defense adoption, suppresses attacks, and improves system resilience under AI access inequality.