Lifeboat Foundation

Amazon’s drone delivery ‘beehive’ towers could be built vertically to blend in with high rises in big cities.

China consumes more electricity than any other country but is also the world’s biggest solar energy producer.

If you thought Pokémon Go was crazy, check out this rendition of Super Mario Bros.

Intel’s new Core i9 CPU family and its X-Series of processors are both available for preorder today, with shipments expected on June 26.

Can the U.S. and world live in a psychological state of cyber nihilism? What will the effects look like? What do you think about this? Read More Here…

http://mrfuturist.com/humanity-headed-state-cyber-nihilism/

Artificial meat and food may be among our best tools to solve the problems of animal cruelty, feeding a growing population, and (in part) global warming. What do vegans and vegetarians think? In favour of cruelty-free lab-grown meat, or against it by principle?

I often say that I am not a fan of ‘-isms’. Not even those supporting the causes I care for, such as transhumanism. I sympathise with some ‘-isms’ (again, such as transhumanism), but I never consider myself a ‘something-ist’. The reason is that, generally, ‘-isms’ have two problems. The first problem is that they almost always support at least some ideas, or make certain claims, which I disagree with or find too fanciful (certain acceptations of ‘mind uploading’ come to mind, but that’s a story for another post). The second problem is that, if you say you’re a something-ist, people will almost surely assume that you endorse, or believe in, some ideas that are really not your thing, merely because such ideas are either an integral part of the relevant something-ism, or are what people think something-ism is about (which may or may not be true). Not to mention the fact that people often regard the dictionary as the ultimate authority on what ‘real’ something-ism is about, cheerfully ignoring all its variants and flavours (which often blur into mainstream something-ism and each other), whose proponents are usually well persuaded that their own something-ism is the real thing—others just got it wrong.

There’s actually a third problem too. Namely, that if they’re not careful, something-ists who are a bit too zealous might end up putting their ideology before the reasons they embraced it in the first place. Sometimes, this can undermine the very objective something-ists intended to achieve with their embracing the ideology and spreading it left and right.

Continue reading “Artificial meat and the problems of ‘-isms’” »

Overpopulation is the most common objection people make to developing rejuvenation biotechnology and potentially increasing healthy human lifespan. We take a look at why that is and if the figures support this concern.

Any discussion of rejuvenation biotechnology almost certainly includes the subject of overpopulation and that objection medical advances that directly address the various processes of aging will lead to an overpopulated world. Such dire predictions are a common theme when advances in medicine that could increase human lifespans are concerned.

Overpopulation is a word that gives the simple fact of population growth a negative connotation. It implies that an increase in the number of people will harm our lives in different ways: it might be famine, scarcity of resources, excessive population density, increased risks of infectious diseases, or harm to the environment.

Continue reading “Will increased lifespans cause overpopulation?” »

If we ever want future robots to do our bidding, they’ll have to understand the world around them in a complete way—if a robot hears a barking noise, what’s making it? What does a dog look like, and what do dogs need?

AI research has typically treated the ability to recognize images, identify noises, and understand text as three different problems, and built algorithms suited to each individual task. Imagine if you could only use one sense at a time, and couldn’t match anything you heard to anything you saw. That’s AI today, and part of the reason why we’re so far from creating an algorithm that can learn like a human. But two new papers from MIT and Google explain first steps for making AI see, hear, and read in a holistic way—an approach that could upend how we teach our machines about the world.

“It doesn’t matter if you see a car or hear an engine, you instantly recognize the same concept. The information in our brain is aligned naturally,” says Yusuf Aytar, a post-doctoral AI research at MIT who co-authored the paper.

Continue reading “MIT and Google researchers have made AI that can link sound, sight, and text to understand the world” »

Google’s “MultiModal” can manage eight tasks at once.