A few words on current status

Author: Keno

README.md

@@ -1,5 +1,7 @@
 # Diffractor - Next Generation AD
 
+# General Overview
+
 Diffractor is an experimental next-generation, compiler-based AD system for Julia.
 Its public interface should be fimilar to users, essentially matching Zygote.
 
@@ -8,20 +10,26 @@ Design goals:
 - Efficient higher order derivatives
 - Reasonable compile times
 - High flexibility (like Zygote)
+- Support for foward/reverse/mixed modes
 
 This is achieved through a combination of innovations:
 - A new lowest level interface more suited to higher order AD (∂⃖ the "AD optic functor" or "diffractor"),
 more suited to higher order AD
 - New capabilities in Base Julia (Opaque closures, inference plugins)
 - Better integration with ChainRules.jl
 
+# Current Status
+
 The plan is to implement this in two stages:
 1. Generated function based transforms, using the ChainRules, the new low level interface and Opaque closures
 2. Adding inference plugins
 
-After stage 1, Diffractor should hopefully match Zyogte in terms us usability,
-while having slightly better performance. Stage 2 is required for full performance,
-but should not require any interface changes.
+Currently the implementation of Phase 1 is essentially complete, though mostly untested.
+Experimentation is welcome, though it is probably not ready yet to be a production
+AD system. The compiler parts of phase 1 are a bit "quick and dirty" as the main
+point of phase 1 is to prove out that the overall scheme works. As a result, it
+has known suboptimalities. I do not intend to do much work on these, since they
+will be obsoleted by phase 2 anyway.
 
-Work on both stages is proceeding simultaneously, but stage 2 will depend on
-additional features in Julia base that may take additional time to implement.
+A few features are still missing, e.g. chunking and I intend to do some more work
+on user friendly interfaces, but it should overall be useable as an AD system.