Expert opinions on Open Source

But if governments don’t invest in the safety infrastructure now, public trust will erode, and the opportunity to leverage benefits from AI will go away, and then we’re looking at deepening inequality.

Open-weight systems are the lifeblood of open research and innovation in AI. They increase transparency, allow for widespread red teaming, and decrease market concentration. However, open-weight models also pose unique risks. They can allow harmful A...

If I were to try to give one prescription, it would be to promote openness, because AI is amazing technology and I want it to be in everyone’s hands.

No safety system can eliminate every dual-use risk. Once model weights are public, no developer can guarantee control over every downstream modification or use. Model-level safeguards can raise the barrier to abuse, but they cannot provide absolute c...

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.

If mandated AI safety reviews are to have any teeth, they must be accompanied by a ban on dangerous AI models that have failed their assessments. This means that some method must be found to restrict access to dangerous open weight AI models. [...] C...

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

The way to get there is a shared machine-readable format. I call it a Safety Framework Card.

So I don't see any risk associated with open sourcing models. I only see benefits.

AI should become a bridge for cooperation, not a tool for division. WAICO will also help ensure AI is managed in a safe, trustworthy, and ethical manner.

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...