diff --git a/subprojects/gst-docs/markdown/additional/design/machine-learning-analytics.md b/subprojects/gst-docs/markdown/additional/design/machine-learning-analytics.md
index c9cd044fd8..4a52102fb5 100644
--- a/subprojects/gst-docs/markdown/additional/design/machine-learning-analytics.md
+++ b/subprojects/gst-docs/markdown/additional/design/machine-learning-analytics.md
@@ -251,14 +251,6 @@ specific to machine-learning techniques and can also be used to store analysis
 results from computer-vision, heuristics or other techniques. It can be used as
 a bridge between different techniques.
 
-#### Tensor-Decoder Bin And Auto-Plugging
-Since tensor-decoders are model specific, we expect that many will be created
-and one way to simplify analytics pipeline creation an promote re-usability is to provide
-tensor-decoder bin able to identify the correct tensor-decoder for the tensor to
-be decoded. It's possible to have multiple tensor-decoder able to decode the
-exact same decoder, but making use of specific acceleration. Rank can be used to
-identify the ideal tensor-decoder for a specific platform.
-
 ### Tensor Transport Mode
 Two transport mode are envisioned as Meta or as Media. Both mode have pros and
 cons which justify supporting both mode.