Anonymous ID: d08298 July 27, 2018, 8:06 p.m. No.2320587   🗄️.is 🔗kun   >>0774

'''Q says "Should the lights go out please know we are in control.

Do not panic." '''

 

Does this reference Russia too? Has this been discussed?

 

END OF DAYS Mystery as sky turns black in the middle of DAY in remote Russian towns with locals blaming secret weapons test, aliens or the DEVIL

An area bigger than the British isles was plunged into darkness for several hours on Friday - sparking rumours of a meteorite or apocalyptic weapon test

 

Mystery surrounds the sudden appearance of the massive black cloud that turned day into night across an area bigger than the British Isles.

 

A local resident in from Eveno-Bytantaisky said: “Messages are going around about about a light flash registered by the US satellites, followed by increase of radioactive level and unusual activity of the military.

 

“We are never going to be told is this was true or false.”

 

Some claimed it could be a “new type of weapon” being tested by the Russian military.

 

Another source said: “This can only be explained by a UFO.”

 

There were fears of a mystery wildfire sweeping the area but none were reported.

Locals reported having difficulty breathing is a the mystery cloud engulfed the region

Residents reported darkness beginning around 11.30am and lasting almost three hours on Friday.

 

Gloom descended on Eveno-Bytantaisky, Zhigansky and Verkhoyansky but none of these districts have been hit by wildfires that are raging in other Siberian localities.

 

The areas are so far north that at this time of year they have virtually 24-hour light — but as one local said: “Day suddenly turned into a dark night”.

 

Another said: “I couldn’t see a thing without switching lights on.

 

“We took torches to walk outside, but actually no-one wanted to be on the street because the feeling was as if something heavy in the air was pressing on your chest.”

 

Accounts spoke of a thick layer of dust after the darkness but this has been denied by some officials, who also expressed doubts that pollution from wildfires was the cause.

 

“The air went dark, and got darker and darker, but this time unlike anything else we have seen before the darkness had a rich yellow undertone."

 

Konstantin Starostin, head of the settlement, said: "When the sun vanished, people started calling us.

 

"Many got scared, especially elderly people.

 

"The sun was gone from 11.30 until 14.00 on Friday 20 July."

 

Head of Verkhoyansk town Yevgeny Potapov was quoted by The Siberian Times saying: “Something strange happened on that day.”

 

Almost all Arctic districts reported a significant temperature fall around the time of the daytime darkness.

 

https://www.thesun.co.uk/news/6856742/sky-turns-black-middle-day-remote-russian-towns-weapons-test-aliens/

Anonymous ID: d08298 July 27, 2018, 8:35 p.m. No.2320945   🗄️.is 🔗kun   >>1029

What in the Ever Lovin FCK was MIT thinking?

I hope Q team has a plan for this because if it's real, there is no way anything good will come of this!

'We all go a little mad sometimes.'

 

Contact: norman-ai@mit.edu

 

1921

Rorschach test was created

Hermann Rorschach created the Rorschach test in 1921 as a psychological test in which subjects' perceptions of inkblots are recorded and then analyzed using psychological interpretation to examine a person's personality characteristics and emotional functioning.

 

1956

Artificial Intelligence is Born

The summer of 1956 brings Marvin Minsky and other brilliant minds together at Darthmouth College. In an explosion of creativity, they plant the seeds of what Artificial Intelligence would become.

 

1960

Psycho

Alfred Hitchcock directed the most celebrated psychological horror film, Psycho, that centers on the encounter between a secretary who ends up at a secluded motel and the motel's disturbed owner-manager, Norman Bates.

 

2015

Black Box Society

Frank Pasquale wrote The Black Box Society that highlights the dangers of runaway data, black box algorithms and machine learning bias caused by source data.

 

2016

AI-Powered Horror Imagery

In 2016, we presented the Nightmare Machine: AI-generated scary imagery, where we collected over 2 million votes from people all over the world. Nightmare Machine is among the first AI projects that tackles a specific challenge: can AI not only detect but induce extreme emotions (such as fear) in humans? (read more about the Nightmare Machine on media including The Washington Post, The Boston Globe, The Atlantic, FiveThirtyEight and more!)

 

2017

AI-Powered Horror Stories

In 2017, we presented Shelley: the world's first collaborative AI Horror Writer! Shelley is a deep-learning powered AI who was raised reading eerie stories collected from r/nosleep. She wrote over 200 horror stories collaboratively with humans, by learning from their nightmarish ideas, and creating the best scary tales ever. Visit Shelley.ai to browse first AI-Human horror anthology ever put together!

 

2017

AI-Powered Empathy

In 2017, we worked on the other side of the spectrum and presented Deep Empathy. Deep Empathy explores whether AI can increase empathy for victims of far-away disasters by creating images that simulate disasters closer to home.

 

APRIL 1, 2018

AI-Powered Psychopath

We present you Norman, world's first psychopath AI. Norman is born from the fact that the data that is used to teach a machine learning algorithm can significantly influence its behavior.

So when people talk about AI algorithms being biased and unfair, the culprit is often not the algorithm itself, but the biased data that was fed to it. The same method can see very different things in an image, even sick things, if trained on the wrong (or, the right!) data set. Norman suffered from extended exposure to the darkest corners of Reddit, and represents a case study on the dangers of Artificial Intelligence gone wrong when biased data is used in machine learning algorithms.

 

Norman is an AI that is trained to perform image captioning; a popular deep learning method of generating a textual description of an image. We trained Norman on image captions from an infamous subreddit (the name is redacted due to its graphic content) that is dedicated to document and observe the disturbing reality of death. Then, we compared Norman's responses with a standard image captioning neural network (trained on MSCOCO dataset) on Rorschach inkblots; a test that is used to detect underlying thought disorders.

 

Note: Due to the ethical concerns, we only introduced bias in terms of image captions from the subreddit which are later matched with randomly generated inkblots (therefore, no image of a real person dying was utilized in this experiment).

 

Browse what Norman sees, or help Norman to fix himself by taking our survey.

 

https://norman-ai.mit.edu/