Update Status of this document for CR Snapshot (#532)

This status text is a high-level summary for busy people.

- Implementation experience update
- Significant new & removed features, use cases, conventions update
- Significant new features in development, MLBuffer

Co-authored-by: Dominique Hazael-Massieux <[email protected]>

index.bs

@@ -22,11 +22,9 @@ Markup Shorthands: css no
 Logo: https://webmachinelearning.github.io/webmachinelearning-logo.png
 Deadline: 2023-10-01
 Status Text: <p>
-  Further implementation experience and user feedback is being gathered for the
-  <code>MLCommandEncoder</code> interface that proposes to enable more efficient WebGPU
-  integration. A proposal to
-  <a href="https://github.com/webmachinelearning/webnn/pull/322">simplify
-  MLContext creation</a> is being discussed. This document is maintained and
+  Since the <a href="https://www.w3.org/TR/2023/CR-webnn-20230330/">initial Candidate Recommendation Snapshot</a> the Working Group has gathered further <a href="https://webmachinelearning.github.io/webnn-status/">implementation experience</a> and added new operations and data types needed for well-known <a href="https://github.com/webmachinelearning/webnn/issues/375">transformers to support generative AI use cases</a>. In addition, informed by this implementation experience, the group removed <code>MLCommandEncoder</code>, support for synchronous execution, and higher-level operations that can be expressed in terms of lower-level primitives in a performant manner. The group has also updated the specification to use modern authoring conventions to improve interoperability and precision of normative definitions.
+  The group is developing a new feature, a <a href="https://github.com/webmachinelearning/webnn/issues/482">backend-agnostic storage type</a>, to improve performance and interoperability between the WebNN, WebGPU APIs and purpose-built hardware for ML and expects to republish this document as a Candidate Recommendation Snapshot when ready for implementation.
+  This document is maintained and
   updated at any time. Some parts of this document are work in progress and
   further improvements are expected to be reflected in revised Candidate
   Recommendation Drafts and Snaphots.