Open|Sourcing Highly Capable Foundation Models

Dmitry Noranovich on X: "Open-Sourcing Highly Capable ...

Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source ...

Holger Hoos on LinkedIn: Open-Sourcing Highly Capable ...

Holger Hoos' Post · Open-Sourcing Highly Capable Foundation Models: An Evaluation of Risks, Benefits, and Alternative Methods for Pursuing Open- ...

Open-source provisions for large models in the AI Act

Recent amendments discuss provisions focused on 'foundation models,' which are defined as an “AI system model that is trained on broad data at ...

Introducing Apple's On-Device and Server Foundation Models

In addition to ensuring our generative models are highly capable, we ... We compare our models with both open-source models (Phi-3 ...

NTIA seeks comment on availability of model weights in ... - JD Supra

The RFC asks stakeholders to weigh in on the potential risks and benefits of making model weights available for highly capable AI systems. It ...

NTIA Comment on Foundation Models With Open Weights

Develop better monitoring and forecasting methods to predict when highly capable AI might be developed. · Prevent the model weights of high-risk AI models from ...

Considerations for governing open foundation models - Science

Foundation models (e.g., GPT-4 and Llama 3.1) are at the epicenter of artificial intelligence (AI), driving technological innovation and ...

Policy and Standards — Research

Open-Sourcing Highly Capable Foundation Models. This paper, led by the Centre for the Governance of AI, evaluates the risks and benefits of open-sourcing, as ...

Search - Institute for Law & AI

Open-sourcing highly capable foundation models. Elizabeth Seger, Noemi Dreksler, Richard Moulange, Emily Dardaman, Jonas Schuett et al. ; Re-evaluating GPT-4's ...

Risk Mitigation Strategies for the Open Foundation Model Value Chain

Such questions are particularly complex for open foundation models＊ ...

Response to NTIA RFC on Dual Use Foundation Artificial ...

... Open Foundation Models. (working paper, 2024) ... exacerbate the biosecurity risks associated with highly biologically capable models.36.

Navigating the Dilemma of Open-Sourcing AI Models - FOSSY 2024

This talk scrutinizes the delicate balance between the benefits and risks of open-sourcing highly capable foundation models.

Elizabeth Seger on Open Source AI - Hear This Idea

Our focus is on Elizabeth's 2023 paper titled Open Sourcing Highly Capable Foundation Models, an evaluation of risks, benefits, and alternative ...

Not Open and Shut: How to Regulate Unsecured AI

... foundation models with widely available model weights.” “Dual ... highly capable and dangerous open-source models available in the market.

Emerging Consensus and Key Questions for Foundation AI Model ...

We suggest the following seven areas as points of an emerging consensus among diverse perspectives on the governance of highly capable and open ...

On the Societal Impact of Open Foundation Models - Semantic Scholar

Foundation models are powerful technologies: how they are released publicly directly shapes their societal impact. In this position paper, we focus on open ...

METR - Comment on NIST AI 800-1 (Managing Misuse Risk for Dual ...

35 Seger, Elizabeth et al. (2023). Open-Sourcing Highly Capable Foundation Models. https://www.governance.ai/research-paper/open- ...

Not all AI models should be freely available, argues a legal scholar

... highly capable AI models, especially when it comes to releasing model weights. ... open-weight models become, as the foundation models ...

NTIA RFC on Open Foundation AI w Available Model Weights ...

Open-sourcing highly capable foundation models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives.

AI Conference Reading List - Digital Trade and Data Governance Hub

Open-Sourcing Highly Capable Foundation Models · Will Open Source AI Shift Power from 'Big Tech'? · GitHub And Others Call For More Open-Source Support in EU AI ...