Comment โfishโ to get a link to it ๐ #ai
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TL;DR
This video explores an AI tool called Mirrorfish that predicts social media performance based on past video data. Watch as the creator tests its accuracy.
Chapters
- 0:00Introduction to Mirrorfish01
- 0:10Setting up the AI tool02
- 0:20Inputting video transcripts03
- 0:30Running the simulation04
- 0:40Results of the predictions05
- 0:50Comparison with Claude's predictions06
- 1:00Conclusion and next steps07
Transcript
This new AI tool can predict the future before it happens. You just type in your question, and Mirrorfish, it spins up hundreds of AI people who debate it like real humans on social media. Okay, found the repo. Clone it, add my environment variables, and then run it. And it's in Chinese. , but I think I can change it to English there. Okay, perfect.
And it's in Chinese. , but I think I can change it to English there. Okay, perfect. I just gave it the transcripts of five of my last Factor Hype videos. So we're going to see if it can predict which will perform the best on Instagram. And now it's running the simulation. I hope this does not kill my OpenAI credits. This is so funny. Okay, so it looks like each of the entities now posting something on social media. People are commenting on the post. Some
of the entities now posting something on social media. People are commenting on the post. Some people are posting. , this is taking a while. Okay, looks like it's done. I let that run for a while. I'm not sure what this is, but it does say the report generation is complete. Based on the report, it did correctly predict that the brag video would get the most views, and it is the video that got the most views. It has 900,000 views right now. I also asked
and it is the video that got the most views. It has 900,000 views right now. I also asked Claude the same thing, and it chose episode 14, which I'm pretty sure is the worst performing one. So I guess I'm going to have to give Mirrorfish a fact, although I'm not sure about it until I test it on more cases.
sure about it until I test it on more cases.
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