Tag: artificial intelligence

Julian Assange makes first public statement since being freed: ‘I pled guilty to journalism’

Julian Assange has said that he is free after years of incarceration because he “pled guilty to journalism.”

Assange was released in June after five years in a British prison after he pleaded guilty to obtaining and publishing U.S. military secrets in a deal with Justice Department prosecutors that concluded a drawn-out legal saga.

Prior to his time in prison, he had spent seven years in self-imposed exile in the Ecuadorian Embassy in London, where he claimed asylum on the grounds of political persecution.

Assange said since his incarceration he has observed a campaign to internationally criminalise journalism, adding: “I want to be totally clear: I am not free today because the system worked. I am free today [after] years of incarceration because I pled guilty to journalism. I pled guilty to seeking information from a source. I pled guilty to obtaining information from a source, and I pled guilty to informing the public what that information was.”

Assange’s wife Stella, who he married while in a top security London jail, said he would need some time to regain his health and sanity after his long incarceration, as well as to be with their two children who he had never seen outside of a prison.

He added: “My wife and my infant son were also targeted, a CIA asset was permanently assigned to track my wife, and instructions were given to obtain DNA from my six-month-old son’s nappy.

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It Began as an AI-Fueled Dungeon Game. It Got Much Darker

IN DECEMBER 2019, Utah startup Latitude launched a pioneering online game called AI Dungeon that demonstrated a new form of human-machine collaboration. The company used text-generation technology from artificial intelligence company OpenAI to create a choose-your-own adventure game inspired by Dungeons & Dragons. When a player typed out the action or dialog they wanted their character to perform, algorithms would craft the next phase of their personalized, unpredictable adventure.

Last summer, OpenAI gave Latitude early access to a more powerful, commercial version of its technology. In marketing materials, OpenAI touted AI Dungeon as an example of the commercial and creative potential of writing algorithms.

Then, last month, OpenAI says, it discovered AI Dungeon also showed a dark side to human-AI collaboration. A new monitoring system revealed that some players were typing words that caused the game to generate stories depicting sexual encounters involving children. OpenAI asked Latitude to take immediate action. “Content moderation decisions are difficult in some cases, but not this one,” OpenAI CEO Sam Altman said in a statement. “This is not the future for AI that any of us want.”

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Marines Fire Anti-Ship Missile from Back of Unmanned Truck to Hit Target at Sea

Marines scored a direct hit in a first-ever live-fire test in which they launched a Navy missile from the back of an unmanned tactical vehicle to strike a surface target at sea.

The Marine Corps has combined two existing technologies to produce a deadly new way to hit targets offshore. Coined NMESIS, the Navy Marine Expeditionary Ship Interdiction System can launch naval strike missiles from the back of a modified Joint Light Tactical Vehicle, or JLTV, to destroy targets on land or at sea.

Raytheon Missiles and Defense, which makes the naval strike missile, announced Wednesday that the Marine Corps used NMESIS to hit a target in the water from Point Mugu Sea Range in California. The missile can take out targets from more than 100 nautical miles away.

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MACHINES CAN LEARN UNSUPERVISED ‘AT SPEED OF LIGHT’ AFTER AI BREAKTHROUGH, SCIENTISTS SAY

Researchers have achieved a breakthrough in the development of artificial intelligence by using light instead of electricity to perform computations.

The new approach significantly improves both the speed and efficiency of machine learning neural networks – a form of AI that aims to replicate the functions performed by a human brain in order to teach itself a task without supervision.

Current processors used for machine learning are limited in performing complex operations by the power required to process the data. The more intelligent the task, the more complex the data, and therefore the greater the power demands.

Such networks are also limited by the slow transmission of electronic data between the processor and the memory.

Researchers from George Washington University in the US discovered that using photons within neural network (tensor) processing units (TPUs) could overcome these limitations and create more powerful and power-efficient AI.

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