It reminds me of https://leptos.dev/ in Rust, although the implementation might be very different
We recently built a platform specifically to navigate the complex intersection of MDR (Medical Device Regulation) and the AI Act, relying on the pressure of hard deadlines. By introducing flexible timelines linked to technical standards, the EU risks signaling that compliance is a secondary concern, potentially stalling the momentum... and at this point patient safety is my biggest concern, not our platform
This introduces chaos rather than relief. Companies do not need lower standards; they need clarity.
We can compete effectively against high standards as long as the rules are clear. EU AI Act was clear. This proposal substitutes the certainty of a high bar with the confusion of a sliding scale, which may hinder the industry more than it helps :/
I wrote this post after giving a talk on AI to a non-technical audience. I found that the analogy of baking a cake without a recipe was a powerful way to build intuition for how ML models are trained and, more importantly, the common ways they can fail.
I hope this is a useful mental model, whether you're an expert trying to explain your work or a newcomer to the field.
I'm here to answer any questions.
I'm also curious: what are your favorite analogies for explaining complex technical topics?