<|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 2018-12-14 11:50:51, BBCWorld from company bbc tweeted. The tweet was "Mesmerising 😍 

<mention> camera captures images of storms the size of Texas swirling across Jupiter 

[Tap to expand] <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-09-29 16:34:25, cnnbrk handle of company cnn tweeted. The tweet was "A rare and powerful hurricane-like storm roars across Greece triggering flooding as it makes its way toward Turkey <hyperlink> <hyperlink>". This tweet got 582 number of likes. 
2. On 2018-08-25 15:30:07, CNN handle of company cnn tweeted. The tweet was "This intriguing NASA image shows all the dust, fires and storms in the air in one day <hyperlink> <hyperlink>". This tweet got 1004 number of likes. 
3. On 2018-08-26 01:00:14, CNN handle of company cnn tweeted. The tweet was "This intriguing NASA image shows all the dust, fires and storms in the air in one day <hyperlink> <hyperlink>". This tweet got 675 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
