<|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 2018-07-27 22:26:10, Google from company google tweeted. The tweet was "Water the top trends in Search? Icebergs, a Martian lake, Goldfish and more—with data from <mention>, see what floated to the top this week → <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-07-25 14:10:13, cnni handle of company cnn tweeted. The tweet was "JUST IN: A lake of liquid water has been detected beneath the surface of Mars <hyperlink> <hyperlink>". This tweet got 6137 number of likes. 
2. On 2019-06-02 04:00:05, PADI handle of company padi tweeted. The tweet was "What cold water dive sites are on your bucket list? 📷: IG user jaworskyj in Norway <hyperlink>". This tweet got 96 number of likes. 
3. On 2020-01-02 15:00:00, MSFTIssues handle of company microsoft tweeted. The tweet was "Almost a third (2 billion!) of us around the world are affected by water scarcity. 💧

Watch how #AI can help: <hyperlink> <hyperlink>". This tweet got 190 number of 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
