diff --git a/readme.md b/readme.md
index 86dcf4a..f521bda 100644
--- a/readme.md
+++ b/readme.md
@@ -18,19 +18,18 @@ Currently python2, python3, c, c++, go, node, ruby, r, c#, and php is supported.
 #### Principle of Operation
 Piston utilizes Docker as the primary mechanism for sandboxing. There is a small API written in Go which takes
 in execution requests and spawns new containers to execute the source from that request. High level, the API writes
-a temporary source file to `/tmp` and that mounts that and all the execution scripts read-only in the container.
-The source file is either ran or compiled and ran (in the case of languages like c, c++, go, etc.).
+a temporary source file to `/tmp` and that gets mounted read-only along with the execution scripts into the container.
+The source file is either ran or compiled and ran (in the case of languages like c, c++, c#, go, etc.).
 
 #### Security
 Docker provides a great deal of security out of the box. Piston takes additional steps to make it resistant to
 various privilege escalation, denial-of-service, and resource saturation threats. These steps include:
 - Disabling outgoing network interaction
-- Greatly reducing CPU allowance (resists CPU saturation)
 - Capping memory at 64mb (resists RAM saturation)
 - Capping max processes at 16 (resists `:(){ :|: &}:;`, `while True: os.fork()`, etc.)
-- Capping max files at 128 (resists various file based attacks)
+- Capping max files at 256 (resists various file based attacks)
 - Mounting all resources read-only (resists `sudo rm -rf --no-preserve-root /`)
-- Capping runtime execution at 2 seconds
+- Capping runtime execution at 3 seconds
 - Capping stdout to 65536 characters (resists yes/no bombs and runaway output)
 - SIGKILLing misbehaving code
 - Disabling journald logs (resists log flood)
@@ -38,7 +37,7 @@ various privilege escalation, denial-of-service, and resource saturation threats
 #### Performance
 One thing that needs investigation is how to spawn containers faster. The Docker daemon is synchronous in its
 container spawning. This means the bottleneck for code execution is how fast containers can start. Environments
-vary, but, in ours they start at a rate of no more than 1 per second. One possibility is Docker in Docker where by
+vary, but, in ours they start at a rate of no more than 1-2 per second. One possibility is Docker in Docker where by
 X number of containers stay running all the time and then requests are delivered to each in a round robin and spawn
 new Piston containers.