<|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 2018-05-31 16:00:00, HumansAMC from company amc tweeted. The tweet was "Meet the new faces of #HUMANSamc Season 3. <hyperlink> <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 2018-07-15 17:00:00, HumansAMC handle of company amc tweeted. The tweet was "Does Mattie have a much larger role to play in all of this? Comment your predictions. #HumansAMC finale airs this TUESDAY at 11/10c on <mention> <hyperlink>". This tweet got 77 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
58<|im_end|>
