diff --git a/drafts/2018-02-24-ml-rant.org b/drafts/2018-02-24-ml-rant.org
new file mode 100644
index 0000000..cb99d2d
--- /dev/null
+++ b/drafts/2018-02-24-ml-rant.org
@@ -0,0 +1,30 @@
+#+TITLE: Untitled rant on machine learning hype
+#+AUTHOR: Chris Hodapp
+#+DATE: February 24, 2018
+#+TAGS: technobabble
+
+The present state in machine learning feels like an arms-race for
+techniques that perfomr better, faster, more efficient, or whatever on
+a handful of problems, and not much in terms of killer applications
+that actually need this.
+
+We've all been hearing for a few years about the demand here but
+mostly there seems a dearth of companies that actually have any sort
+of sustained vision for actual uses of machine learning.  Plenty exist
+that have grand promises, and plenty of large companies keep trying to
+acquire all talent to further that arms race, but that's about it.
+
+Certainly this will change as machine learning "gets better" but in
+order for a lot of improvement to occur there must be at the same time
+some actual compelling ideas and applications to drive it.
+
+In that sense I don't believe that crrent advancements will be that
+fruitful on their own.  We don't need optimizations, we need
+applications.
+
+Of course this is not the first time a entire industry was imagined
+and hyped based on neat technology and little else...
+
+Right now I feel as though the work is going to those who can actually
+articulate the "why" in specific terms, not those with some good
+knowledge primarily on the "how".