<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-01-12 17:30:01, MsftSecIntel from company microsoft tweeted. The tweet was "To catch malicious PDF files used for phishing, other cyberattacks, Windows Defender ATP uses ML classifiers designed to catch malware of this file type. We enrich detection with URL and domain intel from SmartScreen as well as intel from Office 365 ATP. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-04-25 14:36:53, McAfee handle of company mcafee tweeted. The tweet was "“AI can be used to automate the creation of targeted content to have a more effective capability than traditional phishing.” -<mention> at the Security Through Innovation Summit <hyperlink>". This tweet got 8 number of likes. 
2. On 2018-06-20 16:49:05, McAfee_Home handle of company mcafee tweeted. The tweet was "Cybercriminals have ways of enticing you to click on malicious links. Proceed with caution before clicking and make sure you #ProtectWhatMatters. <hyperlink> <hyperlink>". This tweet got 22 number of likes. 
3. On 2018-06-16 16:30:11, McAfee_Home handle of company mcafee tweeted. The tweet was "Cybercriminals exploit online games to entice you into clicking malicious links. Be careful what you click &amp; take our quiz to see if you have what it takes to #ProtectWhatMatters. <hyperlink> <hyperlink>". This tweet got 3 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
133<|im_end|>
