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Analytics Weekly - Issue #26

Hi team! This last week has been filled with all kinds of news and some of the stories actually got t
Analytics Weekly - Issue #26
By Yury Molodtsov • Issue #26 • View online
Hi team!
This last week has been filled with all kinds of news and some of the stories actually got the follow-up stories and discussions in the meantime so this issue turned out a bit longer.

Rogue Scientist Says Another CRISPR Pregnancy Is Underway
If it’s actually true, this is just the beginning. People will likely start with editing the genes that cause diseases because it’s in high demand and in some cases actually pretty clear but then the will definitely move to more consumer needs: changes in appearance, physical and intellectual capabilities.
Noah Smith
China is probably going to use human genetic engineering for dystopian purposes. They use everything *else* for dystopian purposes, so this should be no exception.

The U.S. has to lead in this space, in order to give the world a humanistic alternative.
People and Elon Musk seem to be mostly worried about the general human-like AI that’s going to rebel and destroy us. But we’re at best decades away from it while we already have specialized AIs and people that build and use it.
The way these intelligent algorithms are trained is used present a much bigger problem that already exists. They are used by oppressive government to control the population of their countries — no secret service could tap and listen all phone calls in real-time, but machines can. And the second problem is when the very label of AI is misused as with the company called Predictim.
How AI is being used to vet babysitters, screen applicants and watch employees
Facebook, Twitter crack down on AI babysitter-rating service
You Snooze, You Lose: Insurers Make The Old Adage Literally True
It’s something new when your company is considered too bad by Facebook. The thing is, people trusted the results of this product while in reality it’s closer to figuring out if you will have a flu in a week by your photo. The financial organizations such as banks and lending companies claimed to be using social media content for scoring but in fact it usually has a very low weight in the final result. Predictim build their while product just on that and while some babysitter would suffer because of this, others could still harm even being trusted by the parents.

But it’s not just demand that drives the success of AI in China — the two main things you need to work on it are: classified data and engineers. China doesn’t only have more than enough data but they also have cheap labor to classify the data to train models.
How Cheap Labor Drives China’s A.I. Ambitions
A deep dive into the trends around marketplace startups from Andrew Chen in this tweetstorm and a related blog post.
Andrew Chen
1/ new essay: What's next for marketplace startups? Reinventing the $10 trillion service economy, that's what. Co-authored with @ljin18 A short thread 👇
This piece cam in the newsletter by The Information but I liked it and decided to share here.
If you haven’t yet watched this presentation by Benedict Evans, Partner at Andreessen Horowitz, you definitely should.
Did you enjoy this issue?
Yury Molodtsov

I'm an Investor at Day One Ventures, a venture capital firm that invests in tech startups and leads their communications.

Here I look at tech news I find important and the future they might lead us.

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