Depending on how paranoid you are, this research from Stanford and Google will be either terrifying or fascinating. A machine learning agent intended to transform aerial images into street maps and back was found to be cheating by hiding information it would need later in “a nearly imperceptible, high-frequency signal.” Clever girl!
But in fact this occurrence, far from illustrating some kind of malign intelligence inherent to AI, simply reveals a problem with computers that has existed since they were invented: they do exactly what you tell them to do.
The intention of the researchers was, as you might guess, to accelerate and improve the process of turning satellite imagery into Google’s famously accurate maps. To that end the team was working with what’s called a CycleGAN — a neural network that learns to transform images of type X and Y into one another, as efficiently yet accurately as possible, through a great deal of experimentation
The output of British power stations fell this year to levels last seen almost a quarter of a century ago, while renewables achieved a record share of the UK electricity supply.
Electricity generation in 2018 was the lowest since 1994, when Tony Blair became the leader of the Labour party.
The reduced need for power came despite there being 8 million more people living in the UK. Analysts said the figures were a sign of increasingly efficient use of energy and the country’s changing economy.
“I realise this will take some convincing in Paris but it would be a bold and smart goal,” Scholz said in a wide-ranging Berlin speech on the future of the EU.
To lessen the pain of losing the powerful seat, France could become “the permanent EU ambassador to the United Nations”, added Scholz, who is also Germany’s vice-chancellor.
France has been one of the five permanent members of the UN Security Council since the body was first established in 1945 in the wake of World War II to prevent another large-scale conflict.