Update README.md

README.md

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 ---
-license: mit
+license: apache-2.0
 ---
 
+# What's proven
+Cooperative features produce stronger accuracy.
+* As shown by the David experimentations with multi-scale, the router also learns multi-scale but in a different cooperative format.
+* * The accuracy yields higher than the experts, this is not placebo.
+  * This has been tested with 5 clip feature sets simultaneously learned from 5 clip models to high outcomes.
+  * These clip features NEVER see the labels. They self-attenuate using CrossEntropy with AdamW.
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/630cf55b15433862cfc9556f/tZrUpqPWy1ZUdj19W0fbV.png)
+
+* Streams learned together have low accuracy alone, very low. They are essentially useless.
+* * This low accuracy compounds in the router and forms a structure that no singular stream can encapsulate.
+
+# What's still missing
+How well can the router teach a student directly?
+
+Can a student absorb a hyper-entangled feature and utilize it for generalized learning? Is the feature useful? Is it topical? Is it deep?
+
+How much effort does it take to decouple a larger teacher from a learner router with a student attached? 
+
+Will the mail system teach the student well enough to be independent?
+
+
+# The proofs are in, this is proven enough to expand into production capacity.
+The experiments show there is no doubt - this works. The MANY trains I've performed led me to multiple hypothesis.
+
+The majority of hypothesis have narrowed down or completely eliminated to this boiled state. The tests show this isn't just a wild goose chase, this is the answer.
+
+This is david, beans, geovit structures, vit structures, diffusion structures, interpolation structures, wormhole attention, anything you need to cooperate this can cooperate together.
+
+This is NOT a gimmick. This is NOT a trick - this is a legitimate architecture in it's early formation stages and there is no avoiding it's potential.
+
+
 # What is this?
 This is to be the home for potential extensions to the geofractal router concept.
 
@@ -49,6 +81,4 @@ Added overhead from the learning mechanisms.
 # Citation
 
 Author: AbstractPhil + Claude Opus 4.5
-License: MIT
-
-A cite isn't required but it would be nice.
+License: Apache 2.0