Different but may be slightly similar- there are a few other biohacking YouTube channels with interesting experiments:https://youtu.be/Fx8TcGrCOSI
Metabolic Engineering and Synthetic Biology of Yeast - Jens Nielsen
https://www.youtube.com/watch?v=mL6NwbmEum4 … (the whole channel is quite good). Bio will grow into a major tech stack. We're writing assembly today, but when the AWS is up things will get interesting.
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Actually I should have linked to this one but I haven’t seen yet (same channel)https://youtu.be/V2YDApNRK3g
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Now that I've watched a few of these videos, the bio stack seems in the vacuum tubes phase, not yet assembly. We haven't found the general purpose transistors yet. Experimentation is still very expensive.
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Any other favorite resources for machine learning people who want to learn biology?
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Not 100% biology, but I'd recommend
#salposly's lectures on#biology,#neuroscience and behavior:https://www.youtube.com/watch?v=NNnIGh9g6fA&list=PLD7E21BF91F3F9683 …
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Just finished “Children of Time” - it’s a well done vision of what a bio tech stack looks like
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Tweet je nedostupan.
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Tweet je nedostupan.
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I now want to see a table of tech where one column is the precursor and the other is the full realization. Assembly to AWS, clocks to assembly, horse riding to self driving, mysticism to democracy, etc.
@CivGame you have one?Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hi, Andrej and everyone in the thread, can you mention some specific service that AWS could provide right now to solve a problem for a big enough market?
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Čini se da učitavanje traje već neko vrijeme.
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