(no commit message)

diff --git a/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn b/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn
index b9e289fccb9616f8599d1cb0195c47a61d3530ac..0e667300b3c44fbc3cbb5865175efc7f0afb1b79 100644 (file)
--- a/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn
+++ b/systemes_libre/Systemes_Libres_Amazon_Alexa_IOT_Pitch_10-JUN-2020.mdwn
@@ -60,7 +60,7 @@ Delivering robust low power, high-performance hardware for IOT and Edge Compute
 
 * At the level of millions of sensors, power draw must be minimized to lower the overall power bill
 
-* Our chip uses less energy that existing cpu-only microcontrollers, it uses an order of magnitude less power than existing cpu with a tacked on gpu microcontrollers (**numbers??**)
+* Our chip uses less energy that existing cpu-only microcontrollers, it uses an order of magnitude less power than existing cpu with a tacked on gpu microcontrollers (**numbers??** - no, because this isn't true.  you have to focus *really* hard on optimisation to make this true).
 
 
 # Part 5 – Cost
@@ -77,3 +77,4 @@ Delivering robust low power, high-performance hardware for IOT and Edge Compute
 3. Lower power
 4. Higher computation at same power
 5. Ease of use and development
+6. Flexibility for customisation