The way I understand this. They are doing "fuzzing diffing", I would say even semantic diff that can "understand" that "log in error, check log" and "problem au

The way I understand this. They are doing "fuzzing diffing", I would say even semantic diff that can "understand" that "log in error, check log" and "problem authenticating" are the same (close). They apply it to compare (GB scale) files with application or build logs to identify anomalies efficiently. Otherwise if you just run `diff file1 file2` it would produce enormous result in the real life app. At least in their case. Machine learning is used in the "understands" part above ^^.