Get ready for a future in which most things you need to live, food, housing, transportation, and information, are free or nearly free.

The influential economic theorist looks ahead to a world of virtually free energy and zero marginal cost production, and to a desperate race against climate change.

They’ve already yielded a new lead in the hunt for better diabetes…

MAJOR BREAKTHROUGH: A recent study affiliated with UNIST has developed a system that produces electricity and hydrogen (H₂) while eliminating carbon dioxide (CO₂), the main contributor of global warming. This breakthrough has been led by Professor Guntae Kim in the School of Energy and Chemical Engineering at UNIST in collaboration with Professor Jaephil Cho in the Department of Energy Engineering and Professor Meilin Liu in the School of Materials Science and Engineering at Georgia Institute of Technology.

In this work, the research team presented a hybrid Na-CO₂ system that can continuously produce electrical energy and hydrogen through efficient CO₂ conversion with stable operation for over 1,000 hours from spontaneous CO₂ dissolution in aqueous solution.

“Carbon capture, utilization, and sequestration (CCUS) technologies have recently received a great deal of attention for providing a pathway in dealing with global climate change,” says Professor Kim. “The key to that technology is the easy conversion of chemically stable CO₂ molecules to other materials.” He adds, “Our new system has solved this problem with CO₂ dissolution mechanism.”

What if we could stop aging forever?

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Another futurist, Dave Evans, founder and CTO of Silicon Valley stealth startup Stringify, gave his thoughts about Kurzweil’s nanobot idea in an interview with James Bedsole on February.

Evans explained that he thinks such a merging of technology and biology isn’t at all farfetched. In fact, he described three stages as to how this will occur: the wearable phase (where we are today), the embeddable phase (where we’re headed, with neural implants and such), and the replaceable phase.

Elon Musk’s SpaceX plans to start launching satellites into orbit in 2019 to provide high-speed internet to Earth.

In November, the company outlined plans to put 4,425 satellites into space in a Federal Communications Commission (FCC) filing. But the document gave little detail on the timeline.

However on Wednesday, Patricia Cooper, SpaceX’s vice president of satellite government affairs, said later this year, the company will start testing the satellites themselves, launch one prototype before the end of the year and another during the “early months“ of 2018. Following that, SpaceX will begin its satellite launch campaign in 2019.

Artificial intelligence algorithms are being taught to generate art, human voices, and even fiction stories all on their own—why not give them a shot at building new ways to treat disease?

Atomwise, a San Francisco-based startup and Y Combinator alum, has built a system it calls AtomNet (pdf), which attempts to generate potential drugs for diseases like Ebola and multiple sclerosis. The company has invited academic and non-profit researchers from around the country to detail which diseases they’re trying to generate treatments for, so AtomNet can take a shot. The academic labs will receive 72 different drugs that the neural network has found to have the highest probability of interacting with the disease, based on the molecular data it’s seen.

Atomwise’s system only generates potential drugs—the compounds created by the neural network aren’t guaranteed to be safe, and need to go through the same drug trials and safety checks as anything else on the market. The company believes that the speed at which it can generate trial-ready drugs based on previous safe molecular interactions is what sets it apart.

Decentralization of technology and ever cheaper electronics and materials will also bring more risks. Not to mention the serious risks of terrorism.

Here is a less harmful example of what decentralized tech can do.

Using computers they’d built out of discarded electronics and hidden in a closet ceiling, two inmates in an Ohio prison hacked the facility’s network, downloaded porn, and applied for credit cards with stolen information, according to a report released Tuesday (April 11) by Ohio’s inspector general’s office.

The computers were discovered in 2015 after the IT department at the Marion Correctional Institution, a medium-security prison, noticed that a computer on the network had exceeded its daily usage limit. Alerts indicated that the computer had attempted to hack through the network’s controls, but was unsuccessful.

Although a contractor for the prison was logged into the computer in question, the IT department believed someone else was responsible for the breaches, as the flagged activity had taken place outside of working hours. After obtaining the computer’s name and IP address, the IT workers determined it was an unauthorized device, “because part of its computer name, ‘-lab9-,’ fell outside of the numbers assigned to the six known computers used in the PC training area.”

Unimaginable Radical Abundance:

Yesterday I took the time to read chapter 11 of Eric Drexler’s book Radical Abundance as to get a glimpse of what might be possible with Atomically Precise Manufacturing (APM). I highly recommend the book.

The potential of APM is truly unimaginable.

Try to imagine billion core processors, memory storage in the billions of gigabytes per cm². Solar panels far exceeding todays best laboratory efficiencies. Batteries that are a billion times more energy dense. All this with a negligible impact on the environment.

APM can produce these products and many more at costs of roughly 20¢ per kilogram!

Just let that sink in. Just to illustrate this $1 would buy you more memory storage than is currently available throughout the entire world (roughly 10 Zettabytes).

Doctors have lots of tools for predicting a patient’s health. But—as even they will tell you—they’re no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates. If implemented, the new method could save thousands or even millions of lives a year.

“I can’t stress enough how important it is,” says Elsie Ross, a vascular surgeon at Stanford University in Palo Alto, California, who was not involved with the work, “and how much I really hope that doctors start to embrace the use of artificial intelligence to assist us in care of patients.”

Each year, nearly 20 million people die from the effects of cardiovascular disease, including heart attacks, strokes, blocked arteries, and other circulatory system malfunctions. In an effort to predict these cases, many doctors use guidelines similar to those of the American College of Cardiology/American Heart Association (ACC/AHA). Those are based on eight risk factors—including age, cholesterol level, and blood pressure—that physicians effectively add up.