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The New York Times lists 36 questions you can ask someone if you want to fall in love. Or make your love even stronger. Quick instructions: read one question aloud to your partner, then both of you answer. Swap roles for the next question. Answering all 36 questions should take around one hour, but time isn't important… Okay.

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Asking thirty-six specific questions plus four minutes of sustained eye contact is a recipe for falling in love, or at least creating intimacy among complete strangers. Creating a close rapport between people who have just met is difficult, especially in laboratory conditions.

After finding Dr. Aaron's questions online, she proposed an event with an acquaintance of hers. They would follow the method, exchanging questions for forty-five minutes which become progressively more 36 questions fall in love and then stare into each others' eyes for four minutes. Given the choice of anyone in the world, whom would you want as a dinner guest? Would you like to be famous? In what way? Before making a telephone call, do you ever rehearse what you are going to say?

When did you last sing to yourself? To someone else? If you were able to live to the age of 90 and retain either the mind or body of a year-old for the last 60 years of your life, which would you want? Do you have a secret hunch about how you will die? Name three things you and your partner appear to have in common. For what in your life do you feel most grateful? If you could change anything about the way you were raised, what would it be?

Take four minutes and tell your partner your life story in as much detail as possible. If you could wake up tomorrow having gained any one quality or ability, what would it be? Though not complete strangers, they were not on intimate terms either. Catron found the prospect of looking right at someone for four minutes intimidating:. Once I embraced the terror of this realization and gave it time to subside, I arrived somewhere unexpected. That unexpected state was one of bravery and wonder, transcending the barriers and boundaries erected in day-to-day adult life.

And while Catron doesn't quite believe you can easily create love between two strangers, feelings of intimacy and trust—necessary conditions for love to thrive—are just fifty minutes away. If a crystal ball could tell you the truth about yourself, your life, the future or anything else, what would you want to know?

What is the greatest accomplishment of your life? What do you value most in a friendship? What is your most treasured memory? If you knew that in one year you would die suddenly, would you change anything about the way you are now living? What roles do love and affection play in your life? Alternate sharing something you consider a positive characteristic of your partner.

Behind the famous ‘36 questions that lead to love’

Share a total of five items. How close and warm is your family? In his Big Think interview, Vanderbilt anthropologist Ted Fischer explains that because love is a very positive evolutionary force, the barriers to it are actually quite low:. If you were going to become a close friend with your partner, please share what would be important for him or her to know. Share with your partner an embarrassing moment in your life. When did you last cry in front of another person? By yourself?

Tell your partner something that you like about them already. What, if anything, is too serious to be joked about?

36 questions deed to help you fall in love with anyone

If you were to die this evening with no opportunity to communicate with anyone, what would you most regret not having told someone? Your house, containing everything you own, catches fire. After saving your loved ones and pets, you have time to safely make a final dash to save any one item. What would it be? Of all the people in your family, whose death would you find most disturbing?

Also, ask your partner to reflect back to you how you seem to be feeling about the problem you have chosen. at the New York Times.

Humanity knows surprisingly little about the ocean depths. An often-repeated bit of evidence for this is the fact that humanity has done a better job mapping the surface of Mars than the bottom of the sea. The creatures we find lurking in the watery abyss often surprise even the most dedicated researchers with their unique features and bizarre behavior. A recent expedition off the coast of Java discovered a new isopod species remarkable for its size and resemblance to Darth Vader.

Bathynomus raksasa specimen left next to a closely related supergiant isopod, B. According to LiveSciencethe Bathynomus genus is sometimes referred to as "Darth Vader of the Seas" because the crustaceans are shaped like the character's menacing helmet.

Deemed Bathynomus raksasa "raksasa" meaning "giant" in Indonesianthis cockroach-like creature can grow to over 30 cm 12 inches. It is one of several known species of giant ocean-going isopod. Like the other members of its order, it has compound eyes, seven body segments, two pairs of antennae, and four sets of jaws. The incredible size of this species is likely a result of deep-sea gigantism. This is the tendency for creatures that inhabit deeper 36 questions fall in love of the ocean to be much larger than closely related species that live in shallower waters.

Perhaps fittingly for a creature so creepy looking, that is the lower sections of what is commonly called The Twilight Zonenamed for the lack of light available at such depths. It isn't the only giant isopod, far from it. Other species of ocean-going isopod can get up to 50 cm long 20 inches and also look like they came out of a nightmare. These are the unusual ones, though.

Most of the time, isopods stay at much more reasonable sizes. The discovery of this new species was published in ZooKeys. The remainder of the specimens from the trip are still being analyzed. The full report will be published shortly. During an expedition, there are some animals which you find unexpectedly, while there are others that you hope to find.

One of the animal that 36 questions fall in love hoped to find was a deep sea cockroach affectionately known as Darth Vader Isopod. The staff on our expedition team could not contain their excitement when they finally saw one, holding it triumphantly in the air!

The discovery of a new species is always a cause for celebration in zoology.

How to fall in love

That this is the discovery of an animal that inhabits the deeps of the sea, one of the least explored areas humans can get to, is the icing on the cake. Helen Wong of the National University of Singapore, who co-authored the species' description, explained the importance of the discovery:. There is certainly more for us to explore in terms of biodiversity in the deep sea of our region.

The animal's visual similarity to Darth Vader is a result of its compound eyes and the curious shape of its head.

However, given the location of its discovery, the bottom of the remote seas, it may be associated with all manner of horrifically evil Elder Things and Great Old Ones. One explanation of human imagination — and of creativity — is that it's the process of creating something new by combining existing elements in a novel way. It could be a daydream built on "what ifs," such as familiar rhythms and motifs turned into a new song, or seemingly unrelated bits of knowledge brought together for the first time as the building blocks of a breakthrough insight.

Using our imaginations comes naturally to us.

Do the 36 questions to fall in love actually work?

We do it all the time in ways big and small. For artificial intelligence, however, recombining elements of different things is the opposite of what comes "naturally" to it. Machines learn by breaking things down and cataloguing the existing attributes of objects in order to identify them. These traits are not treated as free-floating characteristics available for mixing and matching in new ways. Now, a team of researchers from the University of Southern California has 36 questions fall in love the development of something profoundly new: a model for an AI with imagination.

Our paper attempts to simulate this process using neural networks. Machine learning typically 36 questions fall in love through the close examination of images and the recording of up-close attributes, such as the colors of pixels. The goal is for an algorithm to correctly identify a new image of the same or a similar object. AI makes no attempt to understand what the object is or how it works. Machine learning is mostly pattern recognition.

Scientists have long dreamed, however, of an AI that can extrapolate from what it has learned by inferring from small details an object's broader themes, including how it operates. Identifying a picture of an airplane is good; identifying why and how it's a "flying machine" is much better. The key to endowing an AI with imagination, the USC researchers said, is "disentanglement," the idea that attributes can be unbundled, or separated, from the objects that exhibit those traits.

Indeed, disentanglement is the concept behind the increasingly amazing "deep fakes" proliferating on the internet. For instance, in a deep fake video, a face's movement is disentangled from its identity.

36 questions for increasing closeness

This allows deep fake creators to, as Ge says, "synthesize new images and videos that substitute the original person's identity with another person, but keep the original movement. Instead of being fed individual objects to catalogue, the AI is given a sample group of related images with the goal of analyzing them until it ultimately discovers the broader themes that unify them.

The individual attributes can then be disentangled from the basic characteristics that identify an object. It can take the shape of Megatron car, the color and pose of a yellow Bumblebee car, and the background of New York's Times Square.

The result will be a Bumblebee-colored Megatron car driving in Times Square, even if this sample was not witnessed during the training session. According to the study's senior author Laurent Itti, "Deep learning has already demonstrated unsurpassed performance and promise in many domains, but all too often this has happened through shallow mimicry, and without a deeper understanding of the separate attributes that make each object unique. Noting that their model can be applied to many different types of data, the researchers foresee AI being able to overcome its current myopia.