Expert opinions on Open Source

In the US, we support state efforts to align around common frameworks such as California SB 53, the New York RAISE Act, and Illinois SB 315, which emphasize transparency, public reporting around catastrophic-risk evaluations and safety incidents, whi...

However, it is important to differentiate regulating applications (which we need) vs. regulating the technology (which is ill-advised).

The right way to do this is if a model, before it is released in open weights or in other ways, a model should be tested. Can it be used by people? Are we sure we’re not going to lose control of it? Does it have the capabilities or intentions that co...

Restricting access to a dual-use AI model is precautionary only if it delays harmful actors more than defenders. That condition varies across actors: a state agency or organized criminal group may obtain a substitute through theft, distillation, inte...

Shared access to open-source AI systems is important for protection in a world where AI can be used to hack into electronic systems, like voting systems and benefits infrastructure.

Advanced model weights can be high-consequence assets. If stolen or openly released without adequate safeguards, they may allow actors to remove safety filters, fine-tune models for harmful uses, or reproduce capabilities that would otherwise remain ...

A safety regime that restricts legitimate defenders, while capable models remain available for attackers, creates an asymmetric disadvantage.

Without a shared governance baseline, AI in our sector might develop in proprietary and uneven ways, deepening the very divides the panel describes and leaving smaller and developing country operators behind.

The answer isn't convergence for its own sake. We can push too hard on one thing. But if you have one standard, you could risk a lowest common denominator outcome that can cost us the innovation system as well and might have a risk on the national in...

Dedicated AIRR capacity supports the AI Security Institute and the Sovereign AI Unit, including guaranteed resource for mission-critical AI safety research, and strategically selected UK AI startups.

Plan A is not that crazy, but it’s close: the algorithms are mandated to be open source, and while the weights aren’t (in fact the weights are banned from being OS), access to the weights is mandated to be open; members of the public can do evaluatio...

Open innovation is foundational to AI progress, and broad access to models, data, and tools is essential to accelerating breakthroughs. By adopting the Linux Foundation’s OpenMDW framework for NVIDIA open model families, we’re helping establish a sim...