<|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 2018-08-03 05:19:05, CNN from company cnn tweeted. The tweet was "NASA is backing these designs for 3D printed homes on Mars <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-08-05 05:01:04, CNN handle of company cnn tweeted. The tweet was "NASA backs designs for 3D-printed homes on Mars — and they look like beehives <hyperlink> <hyperlink>". This tweet got 590 number of likes. 
2. On 2018-06-08 04:46:00, CNN handle of company cnn tweeted. The tweet was "3D-printed concrete houses are coming to the Netherlands. Here's what they look like. <hyperlink> <hyperlink>". This tweet got 996 number of likes. 
3. On 2019-12-14 11:31:07, CNN handle of company cnn tweeted. The tweet was "A giant 3D printer was used to build two houses in an impoverished, rural part of Mexico last week, marking the start of what will be the first 3D-printed neighborhood in the world <hyperlink> <hyperlink>". This tweet got 1078 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
3140<|im_end|>
