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AI researchers have typically tried to get around the issues posed by by Montezuma’s Revenge and Pitfall! by instructing reinforcement-learning algorithms to explore randomly at times, while adding rewards for exploration—what’s known as “intrinsic motivation.” But the Uber researchers believe this fails to capture an important aspect of human curiosity. “We hypothesize that a major weakness of current intrinsic motivation algorithms is detachment,” they write. “Wherein the algorithms forget about promising areas they have visited, meaning they do not return to them to see if they lead to new states.”

The team’s new family of reinforcement-learning algorithms, dubbed Go-Explore, remember where they have been before, and will return to a particular area or task later on to see if it might help provide better overall results. The researchers also found that adding a little bit of domain knowledge, by having human players highlight interesting or important areas, sped up the algorithms’ learning and progress by a remarkable amount. This is significant because there may be many real-world situations where you would want an algorithm and a person to work together to solve a hard task.

The design is “based on what we know is affordable housing in Puerto Rico for a single family,” says Hector Ralat, an architect based in the firm’s Puerto Rican office. “But the focus was to alter the DNA of that knowledge and to put in the essential components that someone would need to sustain living conditions for at least two weeks, which is the recommended time here for someone to receive aid after a disaster.” The houses will likely cost around $120,000, a number that lets homeowners access favorable interest rates on mortgages. The units can be stacked on top of each other; in Villalba, most of the community will be three stories high (the solar will serve the whole building).

“We just know our product is better than stick-built construction in these types of dangerous environments,” says Paul Galvin, chairman and CEO of SG Blocks, the parent company of SG Residential. “Heavy-gauge steel structures are just designed to a high tolerance for the effects of climate change.” The houses, most of which will have two bedrooms, will start at $90,000 to $130,000. It might be possible to build cheaper houses, Galvin says, but the company is “trying to deliver product that is quality-driven, in that it’s going to be built once and it’s not going to be destroyed every storm.” The company is also working with a bank to create a mortgage that is similar in monthly cost to a car payment. The design can incorporate solar panels.

HiveCube, another modular housing company, is also using shipping containers, and has targeted a much lower cost–the houses start at $39,000 for a two-bedroom home. “We believe that your safety should not be a matter of income, but a given when you are planning to buy a home for your family,” says María Velasco, cofounder of HiveCube. The homes are designed to be fully off the grid, with solar power and batteries, a rainwater collection system, and a gray and black water treatment system that uses plants and bacteria to treat wastewater instead of septic tanks.

Human minds simply cannot reconstruct highly complex natural phenomena efficiently enough in the age of big data. A modern Baconian method that incorporates reductionist ideas through data-mining, but then analyses this information through inductive computational models, could transform our understanding of the natural world. Such an approach would enable us to generate novel hypotheses that have higher chances of turning out to be true, to test those hypotheses, and to fill gaps in our knowledge. It would also provide a much-needed reminder of what science is supposed to be: truth-seeking, anti-authoritarian, and limitlessly free.

If it works, then why in the world are we not basing our whole economy on the finite construct of “time”? It would nearly be infallible, versus the legacy commodities model, which is full of holes and reject-able logic.A “time based economy” can be used with any nation state, group, or community based economics model. To make it simple, the value at the transaction would be time dollars in the form of a digital debit.

In the time based economy, each person enrolled, anywhere in the world would have an online account which is controlled by the debit card (not a citizenship card).

The time based economy primarily functions through the education, civics, and knowledge sector.