I just finished the Clean Meat book, and I found the closing chapter on the psychology of meat consumption the most fascinating. It explains why vegetarians have been roughly the same percentage of the population for 30 years now, and why we should not expect continued evangelism and “education” to start converting the unconverted, unless something else changes. I think the availability of economically-attractive meat without animal suffering will be that change. I’ll share some of the research results and my own personal journey as a meat eater in remission.
Summary: We rationalize the cognitive dissonance of how we generally empathize with animal welfare (in wild animals, pets, laboratory animals) versus that special subset of animals we regard as food. For those animals we eat — wherever we draw the line (fish, chicken, red meat) — we discount the intelligence of edible animals and imagine that
In the Clean Meat book’s opening, Yuval Noah Harari wrote about the role of science and technology, something that most meat-eaters like me couldn’t internalize or even hear clearly before.
And that’s before the catastrophic risk of concentrated animal production, the fountainhead for pox viruses, avian flu, mad cow, and now swine fever. In the largest market, China, 55% of pigs died last year, and a quarter of all pigs on the planet.
— today’s NYT
In this most recent telling of the history of Silicon Valley, I was delighted to see that the editorial choice for the three most iconic companies for the cover were HP, Apple and Tesla. I’ll call them the top HAT.
And then it struck me that I have had honor of working for those same three companies. 🙂
From today’s news: "AI can now read emotions—but should it? Specifically, the researchers said emotion recognition technology should not be used in decisions that ‘impact people’s lives and access to opportunities,’ such as hiring decisions or pain assessments, because it is not sufficiently accurate and can lead to biased decisions."
It reminds me of Yuval Noah Harari’s warning in 21 Lessons for the 21st Century: “AI is now beginning to outperform humans in the understanding of human emotions. In particular, AI can be better at jobs that demand intuitions about other people.
Feelings guide not just voters but their leaders as well. This reliance on the heart might prove to be the Achilles’ heel of liberal democracy. For once somebody (whether in Beijing or San Francisco) gains the technological ability to hack and manipulate the human heart, democratic politics will mutate into an
Congratulations to the entire team on their $40M investment round, announced today! And it’s on the heels of their announcement of the industry’s first-ever AI-discovered drug candidate.
By focusing on the information-systems of our biology, from genetic disorders to genetic therapies, Deep Genomics can train their machine learning on the code — finding errant code and fixing it — rather than the analog complexity and hit-and-miss methodology of small molecule drug design. As RNA therapy delivery chemistries unlock new organs and tissues, their approach can address a growing number of serious medical disorders.
“Therapeutically re-engineering the human genome is the final frontier,” said Brendan Frey, founder and CEO of Deep Genomics. “We have found that the more we explore the universe of genetic therapies using AI, the more we discover dark regions that can be illuminated only with