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We have quantum computers—now Amazon and Harvard want a quantum internet

Two big players in computing and research are trying to lay the groundwork for a future quantum internet.

Amazon Web Services (AWS) is teaming up with Harvard University to test and develop strategies for networking together quantum technologies. Their partnership was announced today, and is a continuation of AWS’ goals to create a communications channel between the quantum computers that it is also working on in parallel.

During the three-year research alliance, funding from Amazon will support research projects at Harvard that focus on quantum memory, integrated photonics, and quantum materials, and help upgrade infrastructure in Harvard’s Center for Nanoscale Systems.

Creepy AI asked to predict the end of mankind and the result is very bleak

AN ARTIFICIAL intelligence text-to-image model has forecasted a disturbing end to mankind’s existence.

The popular Craiyon AI, formerly DALL-E mini AI image generator, designed some barren landscapes and scorched plains when prompted to predict the end of humans.

The AI has been trained to create its masterpieces using unfiltered data from the internet.

Very Large Telescope spots galaxies trapped in the web of a supermassive black hole

With the help of ESO’s Very Large Telescope (VLT), astronomers have found six galaxies lying around a supermassive black hole when the Universe was less than a billion years old. This is the first time such a close grouping has been seen so soon after the Big Bang and the finding helps us better understand how supermassive black holes, one of which exists at the centre of our Milky Way, formed and grew to their enormous sizes so quickly. It supports the theory that black holes can grow rapidly within large, web-like structures which contain plenty of gas to fuel them.

“This research was mainly driven by the desire to understand some of the most challenging in the early Universe. These are extreme systems and to date we have had no good explanation for their existence,” said Marco Mignoli, an astronomer at the National Institute for Astrophysics (INAF) in Bologna, Italy, and lead author of the new research published today in Astronomy & Astrophysics.

The new observations with ESO’s VLT revealed several galaxies surrounding a supermassive black hole, all lying in a cosmic “spider’s web” of gas extending to over 300 times the size of the Milky Way. “The cosmic web filaments are like spider’s web threads,” explains Mignoli. “The galaxies stand and grow where the filaments cross, and streams of gas—available to fuel both the galaxies and the central supermassive black hole—can flow along the filaments.”

Elon Musk Suggests That a Brain Parasite Is Forcing Humans to Create Superhuman AI

Elon Musk tweeted a fascinating — and frankly unsettling — theory last night about how a brain parasite might be forcing all humans to create advanced AI.

The Tesla CEO was responding to a story from National Geographic about how toxoplasmosis, a common parasite often found in cats, seems to be causing hyenas to be reckless around predators such as lions. In a staggering and perhaps facetious leap of logic, Musk suggested that the parasite is actually what’s causing humans to create advanced artificial intelligence.

“Toxoplasmosis infects rats, then cats, then humans who make cat videos,” Musk tweeted on Friday. “AI trains achieves superhuman intelligence training on Internet cat videos, thus making toxoplasmosis the true arbiter of our destiny.”

No knowledge, only intuition!

Article originally published on LINKtoLEADERS under the Portuguese title “Sem saber ler nem escrever!”

In the 80s, “with no knowledge, only intuition”, I discovered the world of computing. I believed computers could do everything, as if it were an electronic God. But when I asked the TIMEX Sinclair 1000 to draw the planet Saturn — I am fascinated by this planet, maybe because it has rings —, I only glimpse a strange message on the black and white TV:

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AI system makes models like DALL-E 2 more creative

Researchers develop a new method that uses multiple models to create more complex images with better understanding.

The internet had a collective feel-good moment with the introduction of DALL-E, an artificial intelligence-based image generator inspired by artist Salvador Dali and the lovable robot WALL-E that uses natural language to produce whatever mysterious and beautiful image your heart desires. Seeing typed-out inputs like “smiling gopher holding an ice cream cone” instantly spring to life clearly resonated with the world.

Getting said smiling gopher and attributes to pop up on your screen is not a small task.


A new AI system from MIT makes models like DALL-E 2 more creative by using multiple models to create more complex images with better understanding.

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