great video, channel has potential! the music is too loud compared to the voiceover but I'm sure it will be fixed eventually with some trial and error.
For the love of god, what is it with this insistence of drowning out the information being presented with needless music turned up to a high volume? It's like putting a barrier of noise between the narration and the audience.
The music on this video is far too loud and poorly equalized. Especially on a phone speaker. Super interesting content but, it's too difficult to consume as the music is so distracting.
Thank you for letting us know! This is something we have really struggled with and are trying our best to improve on. We will put even more effort into our next video to address this. Glad you liked it though!
I wonder why the state-of-the-art on protein-folding prediction is a data-driven model? Can't physics-based models be used for the same with higher accuracy?
Thanks for the nice question! I would argue the reason for the data-driven model is that physics-based models require even more computational power, making them more costly/time consuming.
great video, channel has potential! the music is too loud compared to the voiceover but I'm sure it will be fixed eventually with some trial and error.
Thank you for the kind words! Comment's like this mean a lot to us. We will do our best to correct this in future videos.
great video! well thought out topic, good information, excellent video production, and top notch narration! sub'd!
Thank you so much! We appreciate the sub :)
For the love of god, what is it with this insistence of drowning out the information being presented with needless music turned up to a high volume? It's like putting a barrier of noise between the narration and the audience.
Thanks for your feedback! We are still happy that you gave our video a try, and we hope you like our future videos better :)
The music on this video is far too loud and poorly equalized. Especially on a phone speaker. Super interesting content but, it's too difficult to consume as the music is so distracting.
Thank you for letting us know! This is something we have really struggled with and are trying our best to improve on. We will put even more effort into our next video to address this. Glad you liked it though!
I wonder why the state-of-the-art on protein-folding prediction is a data-driven model? Can't physics-based models be used for the same with higher accuracy?
Thanks for the nice question! I would argue the reason for the data-driven model is that physics-based models require even more computational power, making them more costly/time consuming.
This guitar is distracting so good
Music is too loud
Thanks for letting us know! And thanks for watching as well.
So loud music. Its not possible to hear the voice on an incredibly interesting topic.
We are aware. Thanks for commenting and also letting us know. Comments like this help us improve.