Update README.md

README.md

@@ -10,7 +10,7 @@ pinned: false
 license: other
 short_description: NEO alerting-satellite jitter reduction-Starship-style
 ---
-# Rendered Frame Theory (RFT) — Observer Agent Console
+Rendered Frame Theory (RFT) — Observer Agent Console
 
 I built this Space to be completely open about what I’ve made, how it works, and where it succeeds or fails.
 
@@ -20,66 +20,58 @@ RFT flips the priority. It treats timing, uncertainty, and decision “commit”
 
 This Space hosts working agents built using that approach. Nothing here is hidden. All code runs. All assumptions are stated. Results are shown honestly, including where the approach does not outperform conventional methods.
 
----
-
-## What RFT is (in practical terms)
+What RFT is (in practical terms)
 
 RFT is not a new programming language, not a replacement for control theory, and not a belief system.
 
 RFT is a decision-timing framework.
 
 Most systems do:
-- predict state  
-- minimise error  
-- correct once confidence is high  
+• predict state
+• minimise error
+• correct once confidence is high
 
 RFT changes the order of importance:
-- predict state *and* delay cost  
-- estimate uncertainty explicitly  
-- commit actions earlier when the cost of waiting is higher than the cost of acting  
+• predict state and delay cost
+• estimate uncertainty explicitly
+• commit actions earlier when the cost of waiting is higher than the cost of acting
 
 In practice, this can lead to:
-- earlier meaningful corrections  
-- fewer false positives  
-- lower compute/actuation usage  
-- more stable behaviour under noise  
+• earlier meaningful corrections
+• fewer false positives
+• lower compute/actuation usage
+• more stable behaviour under noise
 
-**Important wording note:** when I use “observer” in this Space, I mean an explicit decision mechanism (uncertainty → τ_eff → gate → commit/wait). I am not making a claim of machine consciousness here.
-
----
+Important wording note: when I use “observer” in this Space, I mean an explicit decision mechanism (uncertainty → τ_eff → gate → commit/wait). I am not making a claim of machine consciousness here.
 
-## What this Space is NOT
+What this Space is NOT
 
 This Space is not:
-- a certification claim  
-- a flight-ready aerospace model  
-- a physics replacement argument  
-- a “trust me” pitch  
+• a certification claim
+• a flight-ready aerospace model
+• a physics replacement argument
+• a “trust me” pitch
 
 It’s a transparent test harness that you can run, break, and compare.
 
----
-
-## What’s inside
+What’s inside
 
 This Space includes:
-- Near-Earth Object (NEO) observer agent (noisy alert filtering)
-- Satellite jitter observer agent (duty reduction / chatter control)
-- Starship-style re-entry & precision landing harness (simplified)
-- A Benchmarks tab with baseline vs RFT runs using the same seed
-- A Theory → Practice page mapping ideas directly to code behaviour
-- A Mathematics tab defining what the variables mean and how they map into implementation
-- An Investor / Agency walkthrough tab explaining what’s demonstrated here and what would be needed next for production
+• Near-Earth Object (NEO) observer agent (noisy alert filtering)
+• Satellite jitter observer agent (duty reduction / chatter control)
+• Starship-style re-entry & precision landing harness (simplified)
+• A Benchmarks tab with baseline vs RFT runs using the same seed
+• A Theory → Practice page mapping ideas directly to code behaviour
+• A Mathematics tab defining what the variables mean and how they map into implementation
+• An Investor / Agency walkthrough tab explaining what’s demonstrated here and what would be needed next for production
 
 Every agent:
-- runs inside the Space
-- shows plots
-- exports CSV logs
-- uses reproducible seeds
-
----
+• runs inside the Space
+• shows plots
+• exports CSV logs
+• uses reproducible seeds
 
-## Why I’m making this open
+Why I’m making this open
 
 I’m choosing transparency over hype.