Lifeboat Foundation

Nevertheless, to date, most of the wealth generated by advances in A.I. and robotics has been acquired by the executives of technology companies. It’s time for the benefits of the A.I. revolution to be broadly distributed through an expanded social safety net.

Unfortunately, members of Congress are taking the opposite path and have proposed cuts to a range of social programs. Several hundred thousand people arrived in Washington on Saturday to protest these cuts. During the demonstration, masked agitators threw rocks at the autonomous drones deployed for crowd control; in response, drones dispensed pepper spray on the protesters below, causing a stampede. More than 20 people were injured and treated at local hospitals; one protester died of his injuries on Monday. The police detained 35 people at the scene; 25 more arrests have been made since then, after authorities used facial recognition technology to identify protesters from surveillance video.

Punishing the poor who were harmed by economic disruptions has been a mistake repeated throughout American history. During the Industrial Revolution, machines displaced many artisans and agricultural workers. To deter these unemployed workers from seeking public relief, local governments set up poorhouses that required residents to perform hard labor. And between 1990 and 2020, the federal government — and some state governments — repeatedly cut social program spending even as middle-class jobs disappeared as a result of outsourcing and automation. Workers who didn’t have the skills to thrive in the knowledge economy were resigned to join the underclass of service workers.

Are you teriffied about your jobs will be taken away by AI. If you do, then check out the first jobs that will be eliminated by AI. This will help you prep.

Lex Fridman, a Postdoctoral Associate at the MIT AgeLab, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality and other issues.

Lex Fridman, had a conversation with Kai-Fu Lee on Chinese soul, Difference between cultures of AI engineering, Role of data in near-term impact of AI, Impact of AI on jobs, Facing mortality.

Once a booming industry that offered dream jobs to China’s young talents, China’s tech sector is now waking up to the sobering reality. Experts say it is time to focus on profitability, rather than the wild expansion of previous years, as China’s economic growth slows and the trade war with the United States hits sentiment and investment.

Eleven million people had renewable energy jobs in 2018, according to the latest analysis from IRENA. New data shows that the diversification of the renewable energy supply chain is changing the sector’s geographic footprint, and more countries are tapping into the socio-economic gains of the energy transition. https://bit.ly/2XFScWF

A new project announced last week will start helping close the gap, though. The New Jersey Board of Public Utilities (NJBPU) chose Ørsted of Denmark to build a 1.1 gigawatt wind farm off the coast of Atlantic City. Dubbed (somewhat un-originally) Ocean Wind, the farm will be the biggest of its kind in the US and is estimated to be done by 2024. For comparison, the only wind farm currently operating in the US, off the coast of Rhode Island, has a paltry 30-megawatt production capacity.

Ocean Wind’s 1.1 gigawatts of energy will be enough to power about 500,000 homes. The project is slated to create 15,000 new jobs and generate up to $1.2 billion in additional economic benefits.

As of May of this year, there were 15 proposals in the works for new offshore wind farms along the US east coast (and that doesn’t include projects in California, Hawaii, South Carolina, and New York).

A huge acceleration in the use of robots will affect jobs around the world, Oxford Economics says.

Anyone who tells you the robot apocalypse is upon us—that the machines will not stop stealing our jobs, that they are gearing up to chase us through the streets while doing backflips and fighting off stick-wielding humans—has never tried to program a robot. It’s difficult to get a machine to do so much as move an arm, which requires the precise control and coordination of joint angles and torque.

The difficulty of programming robots is a problem that Facebook, of all companies, wants to fix. Today the social network continues its unlikely dive into robotics by open-sourcing a new robot framework, known as PyRobot, that could simplify the way researchers program their machines, and could even make it easier for non-robotics types to jump into the field. If programming robots has so far been something like wading through a command-line interface, PyRobot promises to be like gliding through the sleekness of macOS. At least, that’s the hope: Many others have tried and failed to do this kind of thing.

Sheila Gujrathi has worked as a doctor, a McKinsey consultant, and at an up-and-coming biotech. Each role prepared her to be CEO in different ways.