diff --git a/blog/graphcore.md b/blog/graphcore.md
index 2b07af2..bb0dea3 100644
--- a/blog/graphcore.md
+++ b/blog/graphcore.md
@@ -77,4 +77,4 @@ Even without this, there are some possible applications which do work quite well
 
 [^19]: Not data latency, which is [250ns](https://www.graphcore.ai/posts/accelerating-resnet50-training-on-the-ipu-behind-our-mlperf-benchmark). There are separate cables for sync.
 
-[^20]: [Tenstorrent](https://tenstorrent.com/) had it earlier, but it has been bugged for generations: the functional model is [slightly defective](https://github.com/tenstorrent/tt-isa-documentation/blob/main/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md).
+[^20]: [Tenstorrent](https://tenstorrent.com/) had it earlier than Nvidia, but it has been bugged for generations: the functional model is [slightly defective](https://github.com/tenstorrent/tt-isa-documentation/blob/main/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md).
diff --git a/links_cache.json b/links_cache.json
index a66d241..7f2f590 100644
--- a/links_cache.json
+++ b/links_cache.json
@@ -5244,7 +5244,6 @@
         "auto": true
     },
     "https://github.com/tenstorrent/tt-isa-documentation/blob/main/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md": {
-        "inline": true,
         "excerpt": "Contribute to tenstorrent/tt-isa-documentation development by creating an account on GitHub.",
         "title": "tt-isa-documentation/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md at main · tenstorrent/tt-isa-documentation",
         "author": "tenstorrent",