<|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 2018-11-21 10:22:39, CNN from company cnn tweeted. The tweet was "After a decade of construction, this hotel in an abandoned quarry is now open <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-22 05:31:00, CNN handle of company cnn tweeted. The tweet was "After a decade of construction, this hotel in an abandoned quarry is now open <hyperlink> <hyperlink>". This tweet got 1044 number of likes. 
2. On 2019-10-19 09:52:51, CNN handle of company cnn tweeted. The tweet was "This former Nazi bunker is being transformed into a luxury hotel with rooftop garden <hyperlink> <hyperlink>". This tweet got 567 number of likes. 
3. On 2020-01-02 02:46:03, CNN handle of company cnn tweeted. The tweet was "The most anticipated buildings set to shape the world in 2020 <hyperlink> <hyperlink>". This tweet got 499 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
1677<|im_end|>
