Expert opinions on Open Source

The University of Oxford has been selected to host a new, cross-university government-backed UK AI Research Lab. The new lab is part of a £60 million investment announced today by the UKRI's Engineering and Physical Sciences Research Council (EPSRC) ...

Door samen met Europese partners te investeren in AI versterken we onze economie én onze digitale soevereiniteit.

Middle powers like the UK and Canada will not win the race for ever larger AI models, but through collaboration they can win the deployment race.

Capability testing must be the primary input for open-release decisions because open-weight mitigation remains unreliable, and labs and governments must identify models that are too dangerous for unrestricted release.

However, the solution here is absolutely not to restrict open model development in the name of security—cyber, national, or otherwise.

You can’t patch a released, open-weight model. This is the property that breaks the assumptions of the prior model of responsible disclosure. Open-source software can be patched in place; a deployer updates and the hazard closes. An open-weight model...

It is unquestionably both. We can use the frontier models but also open weight models to prove a solution which gives defenders powerful capabilities and on their terms.

Open-source AI is more than a catalyst for commercial innovation. It is a strategic advantage for the U.S. military, enabling American companies to push the technology forward while giving the DOD a foundation it can inspect, secure, adapt and deploy...

Inkling reports reasoning, agentic, factuality, chat, vision, audio, and safety benchmark results at effort=0.99.

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