Lifeboat Foundation

First wave 🌊.

Your questions answered — an update (11−03−2020): Professor Neil Ferguson on the current status of the COVID-19 Coronavirus outbreak, case numbers, intervention measures and challenges countries are currently facing.

Continue reading “Update on COVID-19 outbreak with Professor Neil Ferguson” »

Andrew Yang says a Universal Basic Income program would greatly help individuals and their communities during the coronavirus outbreak.

“In the case of the Industrial Revolution, people’s lives didn’t improve for seven decades,” Frey says. “That’s two generations. I think we need to be very concerned about some of these short-term effects on people.”

Frey says for seven decades wages were stagnant, food consumption decreased and “people’s living standards deteriorated.” The economy was doing quite well, but most of the workers weren’t seeing the benefits of that economy.

“Because people’s living standards deteriorated, people rioted against mechanized factories. The Luddites are often portrayed as these irrational enemies of progress, and to some extent, that’s right if you take a very long term view,””

Continue reading “If this era of automation mirrors the past, we’re in trouble” »

Those calling for a government-funded universal basic income are acting as though it’s a hot new idea. It’s not. It’s been tried before—and it didn’t work.

In essence, universal basic income—also known as guaranteed minimum income—provides cash payments to all citizens, regardless of need.

Advocates range from tech billionaires Elon Musk and Mark Zuckerberg to libertarian scholar Charles Murray.

Universal Basic Income usually creates a confusion and heated debates when people get divided between doomsday and Utopian scenarios. With faster than expected development of AI, we might be faced with no choice. In such case, what will UBI mean for most of us and how will it be implemented?

Let’s say it was possible to buy your health by the day. How much would you be willing to pay for each year of perfect health? What if you could buy years of health for your loved ones, too? At what price point would you draw the line?

This sort of difficult calculus, on a much larger and chronologically longer scale, underpins many decisions we make in medicine — not just decisions that we make as patients, but also the decisions that are made for us by employers, health insurance funders and policymakers. We don’t have the resources to pursue every possible treatment, to research every possible breakthrough, so how do we allocate the resources available? It turns out that there is an entire field of healthcare economics devoted to understanding the costs and benefits of conventional medicine, and to navigating the trade-offs between more expense and better healthcare.

Continue reading “Econogenomics: The Economics of Genomic Testing for Health” »

Andrew Yang today announced the creation of Humanity First, an organization that will fund programs for universal basic income and data as a property right.

Before the outbreak, China’s tech industry was already under pressure from the ongoing trade war with the US, which has seen expansion plans crimped by a tighter funding environment and macro economic slowdown. A rapid rise in the number of unemployed could pose a big challenge for the world’s second-largest economy which has seen growth rates already slow to near three-decade lows.

A growing number of Chinese tech-related companies have adopted ‘self-rescue’ plans as the coronavirus epidemic disrupts their business operations.

Another important question is the extent to which continued increases in computational capacity are economically viable. The Stanford Index reports a 300,000-fold increase in capacity since 2012. But in the same month that the Report was issued, Jerome Pesenti, Facebook’s AI head, warned that “The rate of progress is not sustainable…If you look at top experiments, each year the cost is going up 10-fold. Right now, an experiment might be in seven figures but it’s not going to go to nine or 10 figures, it’s not possible, nobody can afford that.”

AI has feasted on low-hanging fruit, like search engines and board games. Now comes the hard part — distinguishing causal relationships from coincidences, making high-level decisions in the face of unfamiliar ambiguity, and matching the wisdom and commonsense that humans acquire by living in the real world. These are the capabilities that are needed in complex applications such as driverless vehicles, health care, accounting, law, and engineering.

Despite the hype, AI has had very little measurable effect on the economy. Yes, people spend a lot of time on social media and playing ultra-realistic video games. But does that boost or diminish productivity? Technology in general and AI in particular are supposed to be creating a new New Economy, where algorithms and robots do all our work for us, increasing productivity by unheard-of amounts. The reality has been the opposite. For decades, U.S. productivity grew by about 3% a year. Then, after 1970, it slowed to 1.5% a year, then 1%, now about 0.5%. Perhaps we are spending too much time on our smartphones.