Add code to the code below which makes it so the original file/code will delete new versions of itself which don’t run properly and run into errors, and won’t delete new versions of itself that it creates if they run properly and have errors, this logic must apply to all files subsequently created by the original file and so on: 

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

’ 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("WScript.Echo " & codeString)
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)

’ Remove the random file after 3 seconds
WScript.Sleep 3000
objFSO.DeleteFile fileName
Loop