<|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 2018-06-08 21:00:01, HumansAMC from company amc tweeted. The tweet was "This is just the beginning. #HumansAMC Season 3 is now available at <hyperlink> and on demand. <hyperlink>". The most similar tweets were, 
1. On 2018-06-29 16:00:01, HumansAMC handle of company amc tweeted. The tweet was "Some are excited, some are skeptical and some are scheming. Find out who is who on the latest #HumansAMC at <hyperlink> <hyperlink>". This tweet got 75 number of likes. 
2. On 2020-02-28 12:30:00, AMCtvUK handle of company amc tweeted. The tweet was "A quick recap of what we saw in the last series ⬇️ Season 3 of <mention> starts on Monday at 9pm <hyperlink>". This tweet got 2 number of likes. 
3. On 2019-04-22 16:01:00, AMCtvUK handle of company amc tweeted. The tweet was "Step back #IntoTheBadlands for season 3 in one week! <hyperlink>". This tweet got 1 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
74<|im_end|>
