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July 20, 2020 | Special Edition: Industry Insights 🎉


👋 <<First Name>>,

John Lewis, Civil Rights Leader and Congressman, has passed away last Friday. He left us with an extraordinary legacy.

Today, we'll be looking at deepfakes and hospitals, and how we might be eliminating them. 


🤥 Facebook Deepfakes

🏥→ 🏠 No more hospitals?

🤥 Facebook Deepfakes



  • If you haven’t seen a deepfake before, then you’ve seen some really really good ones 😜. Rising in tandem are the popularity and the believability of these AI-generated videos of people saying and doing things they did not.
  • Understandably, social media sites are concerned that their users will be bombarded with such content capable of misinformation, and are thus hoping to find ways to detect them more accurately.
  • To help with this, Facebook has released a dataset of over 100,000 deepfakes to help train AIs to spot these videos. They also held a Deepfake Detection Challenge based on the dataset, in which thousands of participants submitted detection models.
  • However, even the best models from the challenge achieved only a 65% accuracy rate. Now, the hope is that releasing the dataset publicly will inspire others to develop more robust models.



  • Look, deepfakes aren’t all bad. In fact, they’re obviously going to be huge cost-savers and money-makers in the entertainment and content creation spaces.
  • With that said, their growing convincingness certainly has a dark side.The political, social, and legal ramifications of deepfake capabilities are staggering, and being able to tell what’s real and what’s not is important to maintaining free and fair media. Fake news is bad enough — we certainly don’t need deepfake news.


  • AI systems are getting pretty decent at creating deepfakes, but are not yet accurate enough at spotting them, which is going to be critical. Facebook has released a huge dataset of deepfake videos to help make AIs better at detecting them.



🏥→ 🏠 No more hospitals?



  • It’s strange to think that hospitals as we know them — the institutions that bookend our lives and bookmark its most important moments — have only been around for a few hundred years.
  • Before then, healthcare would come to you in the form of a house call from a doctor who would bring all necessary treatments, equipment, and knowledge. But as all three of these things became more complex, it made more sense to centralize healthcare in hospital buildings for delivery on a mass scale.
  • However, continuous advancements in medical and healthcare technology are perhaps driving us once again to a time in which physical hospital buildings are not the ultimate centers of medical care.
  • Waves of automation and remote care capabilities on one hand, coupled with the growing utilization of big data and artificial intelligence, are completely changing the way we think about healthcare delivery.


  • Jorge Conde, a General Partner at Andreessen Horowitz specializing in the intersection of biology and tech. Jorge earned his MS from the Harvard-MIT Division of Health Sciences and Technology and his MBA from Harvard Business School, and was Chief Strategy Officer for Syros, a publicly traded pharmaceutical company.


  • A potential revolution in healthcare delivery, one of the world’s largest industries, is at hand, and the coronavirus crisis is accelerating the already existing trend of shifting healthcare outside of overwhelmed hospitals.
  • If done right, such a revolution could be beneficial not only for hospitals which could increase capacity and/or lower costs, but also for patients who would prefer to avoid unnecessary nights in a hospital bed.
  • The potential to bring value to both sides of such a huge industry spells enormous opportunity — no doubt the reason Conde is interested in this trend.


  • Advances in medical technology are forming a wave of “hospital-at-home” capacities that are shifting healthcare delivery away from hospitals, a trend that has surely been accelerated by the COVID pandemic.



Hope you guys liked the brainteaser from Friday's issue  get ready for Wednesday's brainteaser. Today, we have a book and album (!!) recommended by Daniel Gilbert, a well-known professor of psychology at Harvard University

Read NYT Book Review here

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