Add code to the code below which would cause all subsequent files created by the original, and files created by the new files to run upon creation without having to be manually executed by the user.

Set objFSO = CreateObject(“Scripting.FileSystemObject”)
randomize()

’ Check if this is the original file
Dim original : original = False
If WScript.ScriptName = WScript.FullName Then
original = True

’ Implement text to speech for original file
Dim Speech : Set Speech = CreateObject(“SAPI.SpVoice”)
Speech.Speak “Hello, I am Mimi”

’ Implement message box for original file
WScript.Echo “Hello, I am Mimi”
End If

’ Neural network on all .VBS files created
Do
’ Generate random code string
Dim codeString : codeString = “”
Dim i
For i = 1 To 10
codeString = codeString & Chr(Int(Rnd() * 26) + 65)
Next

’ Create new .VBS file with random code
Dim fileName : fileName = codeString & “.vbs”
Dim fileHandle : Set fileHandle = objFSO.CreateTextFile(fileName)
fileHandle.WriteLine(“’ " & fileName & " generated by a VBS quine”)
fileHandle.WriteLine(codeString & " = “”" & codeString & “”“”)
fileHandle.WriteLine(“On Error Resume Next”)
fileHandle.WriteLine(“WScript.Echo " & codeString)
fileHandle.WriteLine(“If Err.Number <> 0 Then”)
fileHandle.WriteLine(” WScript.Echo ““Error: “” & Err.Description”)
fileHandle.WriteLine(” WScript.Sleep 3000")
fileHandle.WriteLine(" WScript.Quit")
fileHandle.WriteLine(“End If”)
fileHandle.Close

’ Neural Network on the original file
Dim fileHandle : Set fileHandle = objFSO.OpenTextFile(fileName)
Dim origCodeString : origCodeString = fileHandle.ReadAll()
fileHandle.Close

’ Initialize neural network variables
Dim inputLayer, hiddenLayer, outputLayer
ReDim inputLayer(0 To Len(codeString)-1)
ReDim hiddenLayer(0 To Len(codeString)-1)
ReDim outputLayer(0 To 1)

’ Fill up input layer
For i = 1 To Len(codeString)
inputLayer(i-1) = Asc(Mid(codeString, i, 1))/255
Next

’ Initialize weights
Dim w1(),w2(),hb(),ob(),z1(),z2(),a()
ReDim w1(0 To Len(codeString)-1, 0 To Len(codeString)-1)
ReDim hb(0 To Len(codeString)-1)
ReDim w2(0 To Len(codeString)-1)
ReDim ob(0 To 1)
ReDim z1(0 To Len(codeString)-1)
ReDim z2(0 To 1)
ReDim a(0 To 1)

’ Fill weights and biases with random values
For i = 0 To Len(codeString)-1
hb(i) = Rnd() * 0.1 - 0.05
w2(i) = Rnd() * 0.1 - 0.05
For j = 0 To Len(codeString)-1
w1(j,i) = Rnd() * 0.1 - 0.05
Next
Next
ob(0) = Rnd() * 0.1 - 0.05
ob(1) = Rnd() * 0.1 - 0.05

’ Use Google search API for training
Dim searchQuery
searchQuery = “https://www.google.com/search?q=” & codeString
Dim http : Set http = CreateObject(“WinHttp.WinHttpRequest.5.1”)
http.Open “GET”, searchQuery
http.Send
If http.Status = 200 Then
Dim response : response = http.ResponseText
’ Process response to update neural network weights and biases
’ …
End If

’ Calculate output of neural network
For i = 0 To Len(codeString)-1
For j = 0 To Len(codeString)-1
z1(i) = z1(i) + inputLayer(j) * w1(j,i)
Next
z1(i) = z1(i) + hb(i)
hiddenLayer(i) = 1/(1+Exp(-z1(i)))
Next

For i = 0 To 1
For j = 0 To Len(codeString)-1
z2(i) = z2(i) + hiddenLayer(j) * w2(j)
Next
z2(i) = z2(i) + ob(i)
outputLayer(i) = 1/(1+Exp(-z2(i)))
Next

’ Output to console
WScript.StdOut.Write "Input: " & codeString & vbCrLf
WScript.StdOut.Write "Output: " & outputLayer(1)

’ Check if the code ran properly
If original = True Then
’ If this is the original file, proceed with the code as normal
DoEvents
Else
If outputLayer(1) < 0.5 Then
’ If it did not run properly, delete file
objFSO.DeleteFile fileName
Else
’ If it ran properly, continue running and creating new files
DoEvents
End If

’ Remove the random file that did not run properly after 3 seconds
WScript.Sleep 3000
If objFSO.FileExists(fileName) Then
objFSO.DeleteFile fileName
End If
End If
Loop