Open|Sourcing Highly Capable Foundation Models

[2311.09227] Open-Sourcing Highly Capable Foundation Models

This paper offers an examination of the risks and benefits of open-sourcing highly capable foundation models.

Open-Sourcing Highly Capable Foundation Models | GovAI

This paper offers an examination of the risks and benefits of open-sourcing highly capable foundation models.

Open-Sourcing Highly Capable Foundation Models

Please cite as Seger, Dreksler, Moulange, Dardaman, Schuett, Wei, et al, 'Open-Sourcing Highly Capable. Foundation Models: An Evaluation of Risks, Benefits, and ...

Open-Sourcing Highly Capable Foundation Models: An evaluation ...

Open-sourcing in AI typically refers to making model architecture and weights freely and publicly accessible for anyone to modify, study, build ...

Open-Sourcing Highly Capable Foundation Models

This paper offers an examination of the risks and benefits of open-sourcing highly capable foundation models.

AI Openness & Model Sharing - Elizabeth Seger

Decisions about open-sourcing highly capable foundation models should be informed by rigorous risk assessments. In addition to evaluating models for ...

Open-Sourcing Highly Capable Foundation Models - arXiv

This paper offers an examination of the risks and benefits of open-sourcing highly capable foundation models. While open-sourcing has ...

Open-Sourcing Highly Capable Foundation Models: An evaluation ...

It is argued that for some highly capable foundation models likely to be developed in the near future, open-sourcing may pose sufficiently extreme risks to ...

Open-Sourcing Highly Capable Foundation Models

Open-Sourcing Highly Capable Foundation Models: An Evaluation of Risks, Benefits, and Alternative Methods for Pursuing Open-Source Objectives-article.

Jonas Schuett on LinkedIn: Open-sourcing highly capable ...

These models may become safe to open-source in the future as societal resilience to AI risk increases and improved safety mechanisms are ...

Sean S. ÓhÉigeartaigh on Open-Sourcing Highly ... - YouTube

Sean S. ÓhÉigeartaigh on Open-Sourcing Highly Capable Foundation Models. 4 views · 5 months ago ...more. Concordia AI. 49. Subscribe.

To open-source or to not open-source, that is (an oversimplification ...

In this report titled “Open-Sourcing Highly Capable Foundation Models” Seger, along with her numerous co-authors walk us through these benefits ...

Open Foundation Models: Implications of Contemporary Artificial ...

The core potential benefits of contemporary open models stem from the fact that anyone can access, inspect, and alter their weights. This ...

The Promise and Peril of Open Source AI with Elizabeth Seger and ...

Recommended Media · Democratizing AI: Multiple Meanings, Goals, and Methods · Open-Sourcing Highly Capable Foundation Models · BadLlama: cheaply ...

Open-Sourcing Highly Capable Foundation Models: An Evaluation ...

Open-Sourcing Highly Capable Foundation Models: An Evaluation of Risks, Benefits, and Alternative Methods for Pursuing Open-Source Objectives · Elizabeth Seger ...

Beyond Open vs. Closed: Emerging Consensus and Key Questions ...

As policymakers around the world grapple with the rise of artificial intelligence (AI), much of their attention has focused on highly capable ...

On the Societal Impact of Open Foundation Models - Stanford HAI

Distributing who defines acceptable model behavior: Broader access to models and their greater customizability expands who is able to specify ...

Dual Use Foundation Artificial Intelligence Models with Widely ...

See e.g., Elizabeth Seger et al., Open-Sourcing Highly Capable Foundation Models, Centre for the Governance of AI (2023). See e.g ...

Foundation Models | AI Alliance

We have seen rapid progress in building and releasing highly-capable and open foundation models for general language, coding, scientific discovery, and multi- ...

How to Promote Responsible Open Foundation Models - Stanford HAI

These open foundation models, such as Stable Diffusion 2, BLOOM, Pythia, Llama 2, and Falcon, have emerged as critical to the industry. They ...